Apr 16, 2026

Lin Fujian Optoelectronic Device Modeling Laboratory

Yangtze River Delta Integrated Circuit Industrial Application Technology Innovation Center
Jiangsu Jicui Integrated Circuit Application Technology Innovation Center
Lin Fujian Optoelectronic Device Modeling Laboratory


Optoelectronic Device Modeling Laboratory Services
  • SPICE model development, characterization, and parameter extraction for silicon photonic waveguides and micro modulators and optical splitters/combiners
  • Compact modeling, characterization, and parameter extraction for other advanced photonic devices
  • GaN device characterization, EEHemt, ASM model and Angelov models
  • InP‑HEMT device characterization, EEHemt model
  • SiGe HBT device characterization, SPG/VBIC/HICUM model
  • Characterization of micro‑/nano‑devices, internal/external parameter consistency studies, and high‑quality enhancement of existing models
  • Ultra‑wideband SPICE models for electrical interconnects, packaging, and passive components
  • Modeling of 1/f noise, noise parameters, avalanche effects, self‑heating, channel temperature, and related physical effects
  • CNAS‑certified testing and final acceptance testing for major projects
  • Other practical modeling services based on customer requirements
Laboratory Contact Information
联系人:小葛,18334212431,邮箱:gemy@jitric.cn
地址:无锡市锡山区凤威路与春江东路交叉口,长三角工业芯谷 A 栋 4 楼
定位:轻资产、高专业、全流程建模验证平台
合作模式:仪器有偿使用、可靠提参、技术赋能

Apr 15, 2026

[MEAD] Low-Power Analog IC Design


MEAD Education
June 22-26, 2026
Registration deadline: May 22, 2026
Payment deadline: June 12, 2026

MONDAY, June 22

8:30-12:00 amMOS Transistor Modeling for Low-Voltage and Low-Power Circuit DesignChristian Enz
1:30-5:00 pmDesign of Low-Power Analog Circuits using the Inversion CoefficientChristian Enz

TUESDAY, June 23

8:30-10:00 amNoise Performance of Elementary CircuitsBoris Murmann
10:30-12:00 amNoise Performance of Filters, Feedback & SC CircuitsBoris Murmann
1:30-3:00 pmOpamp Topologies and Design: Single-Stage CircuitsBoris Murmann
3:30-5:00 pmOpamp Topologies: Cascoded and Two-Stage CircuitsBoris Murmann
[Read more and REGISTER]

Apr 13, 2026

[OpenSUSI] Kicks off Five-Year Plan

Industry-Academia Collaboration Project Launches for Real Chip Manufacturing 
Using NDA-Free PDK - Tokai Rika, Kyushu University, AIST Solutions, 
OpenSUSI Kicks Off Five-Year Plan for FY2026

Tokai Rika Co., Ltd., Kyushu University, AIST Solutions Co., Ltd., and OpenSUSI have announced a joint project on a five-year plan to develop semiconductor human resources and verify their implementation through industry-academia collaboration to actually manufacture chips using PDK (Process Design Kit) that does not rely on NDAs (non-disclosure agreements). The 2026 launch ceremony was held. The biggest feature of this project is that it allows students to experience a series of processes from design to chip manufacturing under an open design environment using NDA-free PDKs #OpenPDKs

Positioning and future development in FY2026 as the first year that this project will be fully developed over a five-year span. Based on an open design and manufacturing environment utilizing NDA-free PDK #OpenPDK, we will continue and develop the following initiatives:
  • Continuation and advancement of hands-on semiconductor human resource development
  • Providing opportunities for actual chip manufacturing and verification using NDA-free PDK
  • Building a practical and highly reproducible education and implementation model through industry-academia integration
  • In exchange for the cost support for this program, we will embed the company's logo on the prototype chip to spread awareness of semiconductor design human resource development as a social contribution activity
(From left) Junichi Okamura, Representative Director of OpenSUSI, 
Haruichi Kanaya, Professor of Kyushu University, 
Taketoshi Sakurai, Executive Officer of Tokai Rika, 
and Seiji Osaka, President and CEO of AIST Solutions

If you are interested or interested in this matter, please contact us at:
OpenSUSI Secretariat <secretary@opensusi.org>

 

Apr 11, 2026

[papers] Compact/SPICE Modeling

Sun, Jing, Daquan Liu, Hang Li, Wensheng Qian, Jiye Yang, Yabin Sun, Bingyi Ye, Yuhang Zhang, Yang Shen, and Xiaojin Li. "A physics-based and accurate STI-LDMOS compact subcircuit model with modified drift region resistance and gate-drain capacitance." 
Semiconductor Science and Technology (2026).
Abstract: This paper develops a physics-based and accurate shallow trench isolation lateral double-diffused MOS (STI-LDMOS) compact subcircuit model. In the proposed direct-current (DC) model, the drift-region resistances beneath both the STI region and the drain electrode are incorporated, thereby significantly improving its physical fidelity and predictive accuracy of the DC characteristics. For the proposed alternating-current model, the gate–drain capacitance model is decomposed into two components: a gate–drift-region overlap charge model with modified bias dependence derived from BSIM4.5, and a parallel-plate capacitance model for the gate–STI overlap region. In addition, the gate–source capacitance and drain–source charge models are further extended to match the physical structure and to more accurately capture the dynamic characteristics of an STI-LDMOS device. The model parameters are extracted and calibrated, and the proposed subcircuit model is implemented in Verilog-A. Excellent agreement is achieved between the proposed model and both the technology computer-aided design (TCAD) simulation results and the measured data from a 40 V STI-LDMOS device, demonstrating its accuracy and efficiency for circuit-level simulation of STI-LDMOS devices.

Nakos, Miltiadis Κ., Theodoros Α. Oproglidis, Dimitrios Η. Tassis, Constantinos Τ. Angelis, Charalabos Α. Dimitriadis, and Andreas Tsormpatzoglou. "Symmetric physics-based compact core model for double-gate junctionless transistors with ungated extensions." (2026).
Abstract: This work presents a physics-based compact model for double-gate junctionless field-effect transistors, with emphasis on accurately capturing the impact of ungated source/drain extensions on the drain current characteristics. The model is validated against two-dimensional device simulations performed using Silvaco ATLAS for two channel doping concentrations and a wide range of ungated extension lengths. To isolate the contribution of the access regions and clarify the effective channel length, all mobility degradation models were disabled in the simulations, allowing the observed current degradation to be attributed solely to the series resistance of the ungated extensions. The proposed formulation includes an analytical factor ξ that accounts for the reduced electrostatic influence of the source and drain terminals on the channel potential, as well as a closed-form expression for the fringe capacitance associated with the ungated regions. The resulting drain current model demonstrates very good agreement with numerical simulations across different geometries and doping levels. Model symmetry is further verified through a Gummel symmetry test, confirming the physical consistency of the formulation. Owing to its analytical nature and physical transparency, the proposed model is well suited to serve as a core building block for higher-level compact models of JL devices.

Y. Liu, L. Tian, Y. Niu, Y. Xia and W. Chen, "A SPICE-Compatible High-Efficiency Equivalent Mechanical Circuit Method for Electro-Thermal-Mechanical Coupling Simulation," in IEEE Transactions on Electron Devices
doi: 10.1109/TED.2026.3671249.
Abstract: Accurate and efficient modeling and simulation of electro-thermal-mechanical field coupling is essential for evaluating multiphysics effects on devices/circuits’ performance and reliability, as the multiphysics coupling effects become severe in advanced integrated circuits. In our previous work, we developed the equivalent mechanical circuit (EMC) method, thereby constructing a SPICE-compatible equivalent multiphysics circuit framework to simulate electro-thermal-mechanical coupling processes in advanced integrated circuits. However, the computational efficiency of the previous EMC (pEMC) method remains limited compared with the finite element method (FEM), since the pEMC method requires multiple iterations to simulate thermal expansion, even in linear equation systems. In this article, we develop a novel EMC method by proposing voltage-controlled current sources (VCCSs) into the pEMC. Therefore, the novel EMC method can simulate thermal expansion without iteration in linear equation systems. The results demonstrate that the computational efficiency of the novel EMC method achieves a tenfold improvement compared to the pEMC method and exhibits computational efficiency comparable to the FEM under the same number of nodes.

F. Yu et al., "Precise Surface Potential Modeling for Compact DC Models of a-IGZO Thin Film Transistors," in IEEE Transactions on Electron Devices, 
doi: 10.1109/TED.2026.3671772.
Abstract: Many thin film transistor (TFT) models that consider the free and trapped charges, including models for amorphous InGaZnO (a-IGZO) TFTs, rely on the accurate determination of surface potential. In this work, a physically-based initial solution and fast-converging iterative procedure with logarithmic increment are utilized for the precise determination of the surface potential model in TFTs with channels of noncrystalline semiconductors, which have exponentially distributed tails and deep traps in the semiconductors. In particular, the surface potential model does not use special functions, such as the Lambert W function. The precision of the proposed scheme of analytical model and iterative procedure is verified against reference simulations of surface potential, and against measured current–voltage DC characteristics of a-IGZO TFTs, employing a well-established surface-potential-based charge sheet model. The precision of the iterative procedure is in the range of few nV, converging approximately for less than half of the number of iterations of other schemes for the calculation of the surface potential. Accordingly, the proposed analytical model for surface potential and the iterative scheme for the determination of the values of the surface potential are suitable for implementation in TFTs’ circuit simulators.

K. Ohmori and S. Amakawa, "Variable-Temperature Broadband Noise Characterization of MOSFETs for Cryogenic Electronics: From Room Temperature down to 3 K," 2023 7th IEEE Electron Devices Technology & Manufacturing Conference (EDTM), Seoul, Korea, Republic of, 2023, pp. 1-3, 
doi: 10.1109/EDTM55494.2023.10103124.
Abstract: A broadband noise measurement system is newly developed and demonstrated at temperatures between 3 K and 300 K. Using the system, wideband noise spectroscopy (WBNS) from 20 kHz to 500 MHz is carried out for the first time, revealing that shot noise is the dominant white noise down to 3 K. The paper also suggests, by means of WBNS, the possibility of extracting the baseline noise characteristics, which do not include the noise component that varies a great deal from device to device.

Jeong, Junhwa, Ilho Myeong, and Ickhyun Song. "Impact of MOSFET source/drain resistance on channel thermal noise calculation and noise performance." 
Results in Physics (2026): 108634.
Abstract: For sub-micron metal oxide semiconductor field effect transistors (MOSFETs), parasitic series source/drain resistance has a significant impact on channel thermal noise (Sid) and noise parameters. In this work, we propose an improved analytical channel thermal noise model considering parasitic resistance, based on physical thermal noise models of sub-micron intrinsic MOSFETs. To validate the proposed model, measurements were performed at room temperature (25°C) on nMOSFETs fabricated in a commercial 130-nm (0.13-µm) bulk RF CMOS technology. All RF S-parameter and noise measurements were conducted on-wafer at room temperature, with open/short de-embedding applied to accurately remove pads and interconnect parasitics. The model was calibrated by extracting parameters in a spice with the standard BSIM4 model as a baseline and validated against measured data such as Sid, Rn, NFmin, Gopt, and Bopt. Furthermore, the proposed model is extended to a circuit-level analysis by deriving the noise figure of a high-frequency amplifier (HFA) using Cadence Virtuoso (Spectre). A good agreement between the measurement and the developed model is observed, particularly under high gate bias (Vgs) conditions where the potential drop at the parasitic resistance becomes apparent. The analysis demonstrates that accurate modeling of parasitic resistance is essential for predicting the accurate noise figure of the HFA in high-current regimes. The improved model predicts the thermal noise of both the extrinsic MOS device and the HFA circuit well, thereby supporting accurate noise simulations for high-frequency circuits that operate under a wide range of gate bias conditions.

Fig. (a) 3D image of LDD MOSFET (b) equivalent circuits of (a) where
Rlds + Rss = RS and Rldd + Rdd = RD (c) equivalent circuit of intrinsic MOSFET.



Apr 10, 2026

[DATE2026] Open Source Related Talks


DATE 2026 Verona, Italy
Open Source Related Talks
Monday, 20 April - Wednesday, 22 April 2026
<https://date26.date-conference.com/programme>

  Label   Title Authors
TS02.8 ML-DSA-OSH: An Efficient, Open-Source Hardware Implementation of ML-DSA Quinten Norga; Suparna Kundu; Ingrid Verbauwhede
LK03 Democratizing Silicon: The Rise of Open-Source EDA and Europe’s Strategic Roadmap Luca Benini
TS10.1 PICOSNN: Partially Incoherent Configurable Optical Computing Architecture for SNN Acceleration Bowen Duan; Zhenhua Zhu; Zhengyang Duan; Huazhong Yang; Yuan Xie; Yu Wang
TS16.1 Non-Volatile Spintronic Flip-Flops with Checkpoint Preservation Supported in RISC-V Platform Jiongzhe Su; Mingtao Chen; Zhanpeng Qiu; Bo Liu; Hao Cai
LBR01.4 Float Fight - Verifying Floating-Point Behavior In Risc-V Simulators Katharina Ruep, Manfred Schlaegl and Daniel Grosse
LBR01.7 Hybrid Virtual Platform + FPGA Co-Emulation Framework Lorenzo Ruotolo; Giovanni Pollo; Mohamed Amine Hamdi; Matteo Risso; Yukai Chen; Enrico Macii; Massimo Poncino; Sara Vinco; Alessio Burrello; Daniele Jahier Pagliari
TS20.1 Fault-Tolerance Mapping of Spiking Neural Networks to RRAM-Based Neuromorphic Hardware Yuqing Xiong; Chao Xiao; Zhijie Yang; Lei Wang; Mengying Zhao
TS21.4 Substrate: A Statically Typed Framework for Designing Highly Configurable Analog and Mixed-Signal Circuit Generators Rahul Kumar; Rohan Kumar; Borivoje Nikolic
SD03 Open-Source Hardware Landscape
SD03.1   Open Silicon Fabrication – Made in Europe Gerhard Kahmen, IHP GmbH, DE
SD03.2 From Schematic To Silicon: Mixed Signal Ic Design In Open Source Flows Harald Pretl, JKU Linz, AT
SD03.3 Bringing Software Design Thinking To Chip Design Tomi Rantakari, ChipFlow, GB

Apr 3, 2026

[paper] Memristors SPICE Compact Modeling

Thomas Günkel1,2, Aleix Barrera1, Lluís Balcells1, Narcís Mestres1, 
Enrique Miranda2, Anna Palau1, Jordi Suñé2
SPICE-Compatible Compact Modeling of Cuprate-Based Memristors Across
a Wide Temperature Range 
Advanced Electronic Materials (2026): e00861
DOI: https://doi.org/10.1002/aelm.202500861

1 Institut de Ciència de Materials de Barcelona, ICMAB-CSIC, Bellaterra (SP)
2 Departament d’Enginyeria Electrònica, Universitat Autònoma de Barcelona (SP)

ABSTRACT: Cryogenic memristors based on the high-temperature superconductor YBa2 CuO7−δ offer significant potential as nonvolatile memory elements or unit cell for analog artificial neural networks for future applications such as control units for quantum processors, cryogenic data centers or space-related electronics. In this work, the experimental switching capabilities of cuprate-based memristors are analyzed in terms of the material-specific physics. This work investigates the experimental switching behavior of cuprate-based memristors across temperatures from cryogenic to room temperature. The underlying interpretation, namely the trapping of injected charge carriers at a metal interface and field-induced detrapping, is incorporated into a physically inspired compact model. The core equations of this model consist of a differential balance equation and a current equation, which is derived from space-charge limited conduction. Comparison with experimental data shows that the model successfully reproduces the key features of the measured switching behavior across a wide temperature range, spanning from 80 to 300 K. Additionally, we implement the model in SPICE, enabling circuit-level simulations. The resulting compact model provides a useful framework for guiding experimental studies, capturing key features of the switching behavior, and bridging the gap between device-levelcharacterization and circuit-level design.

FIG: LTspice Simulations: (a) Implementation of the compact model into a LTspice schematic. The diagram is explained in more detail in the main text. Simulation results of the hysteron V(r) and the 𝐼𝑉 -characteristics abs(I(B2)) depending on the input signal V(v) are given for a simple sinusoidal input signal in (b) and a damped waveform in (c).
 
Acknowledgments: The authors acknowledge financial support from the Spanish Ministry of Science and Innovation MCIN/ AEI /10.13039/501100011033/ through CHIST-ERA PCI2021-122028-2A co-financed by the European Union Next Generation EU/PRTR, the “Severo Ochoa” Programme for Centres of Excellence CEX2023-001263-S, HTSUPERFUN PID2021-124680OB-I00,and HTS-4ICT PID2024-156025OB-I00, co-financed by ERDF A way of making Europe. The Spanish Nanolito networking project (RED2022-134096-T). The European COST Action SUPERQUMAP (CA 21144). EMand JS would like to thank the support the Spanish Ministerio deCiencia e Innovación (MCIN) / Agencia Española de investigación (AEI)10.13039/501100011 033 (Under project No. PID2022-139586NB-C41). TG acknowledge support from AGAUR Catalan Government Predoctoral Fellowship (2022 FISDU 00115). J.S. and E. M. acknowledge the support of the EU through the HORIZON Chips-JU 101194172 NeAIxt Project and the Agencia Española de Investigación (AEI)/10.13039/501100011033 under Project PCI2025-163216. The authors acknowledge the Scientific Servicesat ICMAB and the UAB PhD program in Materials Science.



Mar 27, 2026

[GitHub] Heat Map of Developers in Africa

Commonwealth Report "Open Source Africa" 
by OpenUK

The heatmap illustrates the distribution of developers with GitHub accounts across Africa. It shows that accounts are dispersed in multiple regions throughout the continent. Among the countries highlighted in the OpenUK report, Nigeria has the largest number of users with approximately 1.8 million accounts, followed by Kenya with 666,020 accounts and Rwanda with 85,978 accounts.
[Read More] in recent Commonwealth Report "Open Source Africa" by OpenUK



[paper] ULTRARAM Neuromorphic Memory Device

Abhishek Kumar, Peter D. Hodgson, Manus Hayne, and Avirup Dasgupta
Artificial synapse based on ULTRARAM memory device for neuromorphic applications
Journal of Applied Physics 139, no. 12 (2026)
DOI: 10.1063/5.0314826

1. Department of Electrical Engineering and Computer Sciences, UCB (USA)
2. Department of Physics, Lancaster University, Lancaster LA1 4YB (UK)
3. Quinas Technology Limited, Lancaster LA1 4YB, (UK)
4. Department of Electronics and Communication Engineering, IIT Roorkee (IN)

Abstract: The memory demands of large-scale deep neural networks (DNNs) require synaptic weight values to be stored and updated in off-chip memory, such as dynamic random-access memory, which reduces energy efficiency and increases training time. Monolithic crossbar or pseudo-crossbar arrays using analog non-volatile memories, which can store and update weights on-chip, present an opportunity to efficiently accelerate DNN training. In this article, we present on-chip training and inference of a neural network using an ULTRARAM memory device-based synaptic array and complementary metal–oxide–semiconductor (CMOS) peripheral circuits. ULTRARAM is a promising emerging memory exhibiting high endurance (⁠> 10E7P/E cycles), ultrahigh retention (⁠>1000 years), and ultralow switching energy per unit area. A physics-based compact model of ULTRARAM memory device has been proposed to capture the real-time trapping/de-trapping of charges in the floating gate and utilized for the synapse simulations. A circuit-level macro-model is employed to evaluate and benchmark the on-chip learning performance in terms of area, latency, energy, and accuracy of an ULTRARAM synaptic core. In comparison with CMOS-based design, it demonstrates an overall improvement in area and energy by 1.8x and 1.52x⁠, respectively, with 91% of training accuracy.


FIG: Schematic of an ULTRARAM memory cell and the corresponding transmission electron microscope image of the device’s epilayers

Acknowledgments: This work was supported in part by the Quinas Technology Limited, Lancaster, United Kingdom; Indian Institute of Technology Roorkee, India; and Prime Minister’s Research Fellowship, Ministry of Education, Government of India under Grant No. PM-31-22-773-414.

Data Availability: The data that support the findings of this study are available within the article.

Mar 26, 2026

[github] NVC: VHDL compiler and simulator

 

https://cameron-eda.com/

NVC is a VHDL compiler and simulator

NVC supports almost all of VHDL-2008 with the exception of PSL, and it has been successfully used to simulate several real-world designs. Experimental support for Verilog and VHDL-2019 is under development. NVC has a particular emphasis on simulation performance and uses LLVM to compile VHDL to native machine code. NVC is not a synthesizer. That is, it does not output something that could be used to program an FPGA or ASIC. It implements only the simulation behaviour of the language as described by the IEEE 1076 standard. NVC supports popular verification frameworks including OSVVM, UVVM, VUnit and cocotb. See below for installation instructions.

Vendor Libraries
NVC provides scripts to compile popular verification frameworks and the simulation libraries of common FPGA vendors
  • For OSVVM use nvc --install osvvm
  • For UVVM use nvc --install uvvm
  • For Xilinx ISE use nvc --install ise
  • For Xilinx Vivado use nvc --install vivado and additionally nvc --install xpm_vhdl
    if you require simulation models of the XPM macros
  • For Altera Quartus use nvc --install quartus
  • For Lattice iCEcube2 use nvc --install icecube2
  • For Free Model Foundry common packages use nvc --install fmf


Mar 25, 2026

[Open Source Survey] From RTL to Fabrication

Emilio Isaac Baungarten-Leon
From RTL to Fabrication: Survey of Open-Source EDA Tools and PDKs
Electronics 2026, 15(5), 1048;
DOI: 10.3390/electronics15051048

* Departamento de Electromecánica, Universidad Autónoma de Guadalajara, Zapopan 45129, Mexico


Abstract: This article aims to synthesize the current ecosystem of open-source tools for Integrated Circuit (IC) design, covering the entire digital design flow from Register-Transfer Level (RTL) description to fabricable layouts. The survey categorizes and analyzes tools across major stages of design, including code-generation tools, logic synthesis, simulation, and physical design flow. Special emphasis is given to the fabricable open-source Process Design Kit (PDK), which enables the physical realization of open-hardware projects. By examining interoperability, limitations, and maturity across this toolchain, the article provides a comprehensive overview of the Electronic Design Automation (EDA) landscape and identifies the research and educational opportunities that arise from democratizing silicon design through open and reproducible workflows.
Fig: (a) IC design flow illustrating the complete process from RTL specification through logic synthesis, physical design (floorplanning, placement, clock tree synthesis, routing), verification, and final GDSII generation for fabrication. (b) FPGA design flow showing the progression from RTL description to synthesis, technology mapping, placement-and-routing on the target FPGA fabric, bitstream generation, and device configuration.

Acknowledgments: The APC was funded by Universidad Autónoma de Guadalajara (UAG), financial support provided through its Fondo Semilla. The author gratefully acknowledges the Universidad Autónoma de Guadalajara (UAG) for the financial support provided through its Fondo Semilla program, which covered the article processing charges and enabled the publication of this work. During the preparation of this manuscript, the authors utilized GPT-5.2 solely to enhance the clarity, grammar, and overall quality of the English text. The author reviewed and edited all AI-assisted content and takes full responsibility for the accuracy, originality, and integrity of the final manuscript.

Table A1. Main open-source EDA tools and their official repositories
Category Tool Official Link
Code-Generation ToolsPandA Bambu HLShttps://github.com/ferrandi/PandA-bambu (accessed on 20 January 2026)
Kiwi Compilerhttps://www.cl.cam.ac.uk/~djg11/kiwi/ (accessed on 20 January 2026)
LegUp HLShttps://github.com/LegUpComputing/legup-examples?tab=readme-ov-file (accessed on 20 January 2026)
ROCCChttp://roccc.cs.ucr.edu/ (accessed on 20 January 2026)
PyMTL3https://github.com/pymtl/pymtl3 (accessed on 20 January 2026)
Chiselhttps://www.chisel-lang.org/ (accessed on 20 January 2026)
SpinalHDLhttps://github.com/SpinalHDL/SpinalHDL (accessed on 20 January 2026)
Pyveriloghttps://github.com/PyHDI/Pyverilog (accessed on 20 January 2026)
Amaranth HDLhttps://github.com/amaranth-lang (accessed on 20 January 2026)
LLM-Based Code GenerationRTLCoderhttps://github.com/hkust-zhiyao/RTL-Coder (accessed on 20 January 2026)
Spec2RTL-Agenthttps://cirkitly.kernex.sbs/ (accessed on 20 January 2026)
OriGenhttps://github.com/pku-liang/OriGen (accessed on 20 January 2026)
AutoChiphttps://github.com/shailja-thakur/AutoChip (accessed on 20 January 2026)
CodeVhttps://github.com/cluesmith/codev (accessed on 20 January 2026)
VeriCoderhttps://github.com/Anjiang-Wei/VeriCoder (accessed on 20 January 2026)
StarCoderhttps://github.com/bigcode-project/starcoder (accessed on 20 January 2026)
CodeLlamahttps://github.com/meta-llama/codellama (accessed on 20 January 2026)
DeepSeek-Coderhttps://github.com/deepseek-ai/DeepSeek-Coder (accessed on 20 January 2026)
CodeQwenhttps://github.com/QwenLM/qwen-code (accessed on 20 January 2026)
Geminihttps://gemini.google.com/ (accessed on 20 January 2026)
GPThttps://chatgpt.com/ (accessed on 20 January 2026)
ChatEDAhttps://github.com/wuhy68/ChatEDA (accessed on 20 January 2026)
Synthesis ToolsYosyshttps://yosyshq.net/yosys/ (accessed on 20 January 2026)
ABC (Berkeley)https://people.eecs.berkeley.edu/~alanmi/abc/ (accessed on 20 January 2026)
ODIN II (VTR)https://docs.verilogtorouting.org/en/latest/odin/ (accessed on 20 January 2026)
GHDL-Yosys Pluginhttps://github.com/YosysHQ/yosys (accessed on 20 January 2026)
Synlighttps://github.com/chipsalliance/synlig (accessed on 20 January 2026)
Mockturtle (EPFL)https://github.com/lsils/mockturtle (accessed on 20 January 2026)
Simulation & Verification ToolsVerilatorhttps://www.veripool.org/verilator/ (accessed on 20 January 2026)
Icarus Veriloghttps://steveicarus.github.io/iverilog/ (accessed on 20 January 2026)
cocotbhttps://www.cocotb.org/ (accessed on 20 January 2026)
GTKWavehttps://gtkwave.sourceforge.net/ (accessed on 20 January 2026)
Yosys-SMTBMChttps://symbiyosys.readthedocs.io/en/latest/reference.html (accessed on 20 January 2026)
EQYhttps://github.com/YosysHQ/eqy (accessed on 20 January 2026)
CoSAhttps://github.com/cristian-mattarei/CoSA (accessed on 20 January 2026)
OpenSTAhttps://github.com/The-OpenROAD-Project/OpenSTA (accessed on 20 January 2026)
OpenTimerhttps://github.com/OpenTimer/OpenTimer (accessed on 20 January 2026)
Tatum (VTR)https://github.com/verilog-to-routing/tatum (accessed on 20 January 2026)
Physical Design Flow ToolsOpenROADhttps://theopenroadproject.org/ (accessed on 20 January 2026)
OpenLanehttps://github.com/The-OpenROAD-Project/OpenLane (accessed on 20 January 2026)
iEDAhttps://github.com/OSCC-Project/iEDA (accessed on 20 January 2026)
SiliconComphttps://github.com/siliconcompiler/siliconcompiler (accessed on 20 January 2026)
Fabricable PDKsSKY130https://github.com/gdsfactory/skywater130 (accessed on 20 January 2026)
GF180MCUhttps://github.com/google/gf180mcu-pdk (accessed on 20 January 2026)
IHP SG13G2https://github.com/IHP-GmbH/IHP-Open-PDK (accessed on 20 January 2026)
ICsprout55https://github.com/openecos-projects/icsprout55-pdk (accessed on 20 January 2026)

Mar 24, 2026

[DATE2026 Panel] Empowering Education through Open-Source Hardware

 #SavetheDate | On April 22, 2026, at 11:00 Norbert Wehn and Lukas Krupp from the RPTU Kaiserslautern-Landau will host a special session at the DATE Conference 2026 in Verona, Italy: “Empowering Education through Open-Source Hardware”.


The session focuses on how open design ecosystems can make chip development more accessible, from first hands-on experiences to full design flows from system level to GDSII. Topics include:
  • open-source hardware in education
  • hands-on chip design across the full stack
  • broader access to PDKs, IP, and EDA tools
Panelists:
  • Luca Benini (ETH Zürich)
  • Luca Carloni (Columbia University)
  • Oscar Gustafsson (Linköping University)
  • Patrick Haspel, PhD (Synopsys Inc)
  • Prof. Dr.-Ing. Gerhard Kahmen (IHP – Leibniz Institute for High Performance Microelectronics)
  • Matt Venn (Tiny Tapeout)
Save the date and learn more about our upcoming stops and events here: 
https://lnkd.in/dgGbnJgn


Mar 11, 2026

26th Workshop Analog Circuits

26th Workshop Analog Circuits 
12.03.2026 and 13.03.2026
at Leibniz University Hannover

The workshop series offers a platform to present one's own ideas and discuss results with science and industry. The focus is on integrated analog and mixed-signal circuits.

The workshop will take place on 12.03.2026 and 13.03.2026 in the Royal Horse Stable of the University of Hannover.  Registration - Participation in the workshop is free of charge.

The programme will be compiled after the call for papers has been completed and is avalable online 

In the run-up to the 26th Workshop on Analog Circuits, the DE:Sign cooperation event on the topic of "Open Source Tools for Analog Design" will take place on the morning of 12.03.2026. In this event, the funded projects will present their current status on open design tools and methods for analogue design. Participants will receive an overview of the contribution of the respective projects to the development of technology open, accessible, and sustainable design chains in the sense of the DE:Sign guideline.

If you have any questions, please contact the organizers by e-mail at: analog2026@ims.uni-hannover.de

Mar 2, 2026

Aalto Microelectronics Fair

Aalto Microelectronics Fair
March 20, 2026, 9.00-15.30
Aalto Yliopisto, Kandidaattikeskus, H304, Otakaari 1, 02150 Espoo

Time Session
8:30–9:00 Morning coffee
9:00–9:15Opening
Aleksi Korsman
Keynotes
9:15–10:00Keynote 1: “OpenPDK - Global Scholar Platform”,
Wladek Grabinski, Open PDK Initiative


10:05–10:50Keynote 2: “Open Source Design Tools in SME IC Design Companies”,
Ari Paasio, Kovilta




Research overviews
11:00–11:15Research overview: Kari Stadius
11:15–11:30Research overview: Prof. Marko Kosunen
11:30–11:45Research overview: Prof. Kwantae Kim
11:45–12:45Lunch (and posters)
12:45–13:15Student talk: “Five years of RISC‑V processor design at Aalto”,
Aleksi Korsman
13:15–13:45Student talk: “Beyond Neural Networks: Overcoming the Symbolic Bottleneck via Approximate Logarithm Acceleration”,
Lingyun Yao
Posters
13:45–14:00Poster intro
14:00–15:00Posters with coffee and snacks
15:00–15:30Feedback and closing

Should you have any questions, please email Marko Kosunen

Feb 28, 2026

[mos-ak] Fwd: MIXDES 2026 – Extended Paper Submission Deadline & Workshop Information

Dear Colleagues,

On behalf of the MIXDES 2026 organizing committee, we would like to inform you that the regular paper submission deadline for the MIXDES 2026 Conference has been extended to 15 March 2026. The additional time should be especially helpful for contributors who may also be interested in the full‑day IHP‑Open‑PDK workshop accompanying this year's event.

If you intend to submit a paper, please register it as soon as possible via the MIXDES Conference website (www.mixdes.org) by selecting the "Submit a paper" link. Early registration greatly assists us in initiating the reviewer assignment process. You will be able to update all paper details and upload revised versions of the manuscript until May 15th, 2026.

We are also pleased to announce the workshop "Analog IC Design Using Open Source Tools and IHP OpenPDK", which will take place on June 24th, 2026, at Poznan University of Technology. The workshop will provide practical, hands-on experience with open-source tools such as Xschem, Ngspice, and KLayout, covering core aspects of analog schematic design, simulation, layout, and process fundamentals. Due to the limited number of seats, participation is on a first-come, first-served basis. Requests for attendance should be sent to: mixdes2026@dmcs.p.lodz.pl

More information is available here: https://www.mixdes.org/Mixdes3/tekst/view/openpdk-analog

You are welcome to forward this information to colleagues who may be interested in the conference or workshop. The main conference details can be found in the Call for Papers: https://www.mixdes.org/downloads/call2026.pdf

If you have any questions, do not hesitate to contact directly:

Mariusz Orlikowski, MIXDES 2026 Conference Secretary

Important dates: 
  • Paper submission deadline (extended): 15 March 2026 
  • Notification of acceptance: 30 April 2026 
  • Final paper versions: 15 May 2026
  • IHP OpenPDK Workshop: 24 June 2026, Poznań, Poland
  • MIXDES 2026 Conference: 25–27 June 2026, Poznań, Poland 

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[paper] Threshold Engineering in 2D FETs

Dipanjan Sen, Harikrishnan Ravichandran, Safdar Imam, Subir Ghosh, Krishnendu Mukhopadhyay, Md Yasir Bashir, Thomas S. Ie, Vlastimil Mazanek, Jan Luxa, Chen Chen, Joan M. Redwing, Zdenek Sofer, Shubham Sahay, Mercouri G. Kanatzidis and Saptarshi Das
van der Waals dielectrics for threshold engineering in two-dimensional field effect transistors
Nature Communications (2026)
DOI: 10.1038/s41467-026-69089-6

1. Engineering Science and Mechanics, Penn State University, University Park, PA 16802, USA
2. Department of Chemistry, Northwestern University, Evanston, IL 60208, USA
3. Electrical Engineering, Indian Institute of Technology, Kanpur, India
4. Department of Inorganic Chemistry, University of Chemistry and Technology Prague, CzechRepublic
5. 2DCC, Penn State University, University Park, PA 16802, USA
6. Materials Science and Engineering, Penn State University, University Park, PA 16802, USA
7. Electrical Engineering, Penn State University, University Park, PA 16802, USA


Abstract: Two-dimensional (2D) semiconductors are promising for next-generation field-effect transistors (FETs), but their integration into complementary-metal-oxide-semiconductors (CMOS) logic is hindered by improper threshold voltages (Vth), leading to excessive power consumption. While past efforts have focused on improving electrostatics and near-ideal subthreshold swing (𝑺𝑺), systematic Vth engineering in 2D FETs remains unexplored. Here, we investigate high-κ van der Waals (vdW) dielectrics including metal oxyhalides such as LaOBr, BiOBr, and BiOCl, and bimetallic thiophosphates such as LiInP2S6 (LIPS), LiInP2Se6 (LIPSe) and CuInP2S6 (CIPS) and demonstrate that bimetallic thiophosphates enable programmable and non-volatile Vth tuning in both n-type monolayer MoS₂ and p-type bilayer WSe2 FETs. Leveraging ion-mediated Vth tuning, we realize 2DCMOS inverters with nearly three orders of magnitude reduction in static power while maintaining high switching speed. Combining experiments with industry-compatible SPICE modeling, we identify an optimal Vth window that minimizes power without significant delay penalty, enabling built-in power gating and improved power–performance–area metrics without additional sleep transistors.

Fig: LiInP2S6 as a top-gate dielectric for 2D field-effect transistors (FETs). a) angled scanning electron microscope (SEM) image of dual-gated 2D FET with LiInP2S6(LIPS) as top-gate dielectric and 25 nm thick Al2O3 as the back-gate dielectric. Dual-sweep top-gate transfer characteristic of a b) WSe2 FET obtained by sweeping the VTG from -8 V to 8 V at a constant 𝑉𝐵𝐺 = -4 V and 𝑉𝐷𝑆 = 1 V, both exhibiting a counterclockwise (CCW) hysteresis.

Acknowledgements: SD acknowledges funding support from the National Science Foundation for NSF Career under grant number ECCS-2042154, NSF Fuse, under grant number ECCS-2328741, ONR under grant number N00014-24-1-2565, and ARO under grant number W911NF-23-1-0279. The MOCVDTMD films were grown in the 2D Crystal Consortium–Materials Innovation Platform (2DCC-MIP) facility which is supported by the National Science Foundation under cooperative agreement DMR-2039351. The work at Northwestern was supported in part by the National Science Foundation under award number DMR-2305731. ZS was supported by ERC-CZ program (project LL2101) from the Ministry of Education Youth and Sports (MEYS) and by the project Advanced Functional Nanorobots (reg. No. CZ.02.1.01/0.0/0.0/15_003/0000444 financed by the EFRR). JL was supported by Czech Science Foundation (GACR No. 24-11465S). VM was supported by project LUAUS23049 from Ministry of Education Youth and Sports (MEYS). SS acknowledges the Ministry of Education’s Scheme for Transformational and Advanced Research in Sciences (STARS) Project under Grant MoE-STARS/STARS-2/2023-0023, DST Indo-Korea Research Grant INT/Korea/P-66 under Grant E-47691 and the University Grant Commission, Government of India, through the Senior Research Fellowship, student ID: 200510263123

Feb 19, 2026

[paper] Ion-Sensitive FET Memory

Henrique Lanfredi Carvalho, Pedro Henrique Duarte, Ricardo Cardoso Rangel 
and Joao Antonio Martino
“Effect of gate capacitance ratio on ion-sensitive FET memory”
Solid-State Electronics (2026) Art. no. 109350.
doi: 10.1016/j.sse.2026.109350

* LSI/PSI/USP, University of Sao Paulo, Sao Paulo, Brazil

Abstract: This paper introduces the ISFET Memory device, which combines nonvolatile memory capabilities with the traditional ISFET functionality for pH sensing applications. The device’s performance is evaluated in both writing and erasing modes, with particular emphasis on how adjusting the gate capacitance ratio (GCR) influences the operating voltages and sensitivity. Results show that optimizing the GCR to 0.43 significantly reduces the voltages required for writing and erasing operations, while also enhancing sensitivity across a broader pH range. The device achieves maximum sensitivities of 1609 mV/pH in the writing state and 940 mV/pH in the erasing state, far exceeding the ideal ISFET sensitivity of 58.2 mV/pH. Furthermore, the device demonstrates adaptability to different pH ranges: the writing mode is better suited for pH values from 2 to 10, whereas the erasing mode is more effective for the remaining pH range.

Fig: Cross section of ISFET Memory (a) and with optimized structure (b)

Acknowledgment: The authors acknowledge CNPq, CAPES (Coordenação de Aperfeiçoamento de Pessoal de Nível Superior – Brazil - Finance Code 001) and São Paulo Research Foundation - FAPESP (under grant #2020/04867-2) for the financial support.

[+] This article is part of a special issue entitled: ‘EuroSOI-ULIS 2025’ published in Solid State Electronics.

Feb 18, 2026

[paper] Compact Modeling of Ferroelectric Devices

J. Lee, J. Kim, M. Kim, H. Kim, C. Ra, H. Choi, and J. Jeon,
“Asymmetry-Aware Compact Modeling of Ferroelectric Devices for Circuit-Level Simulation,”
ACS Applied Electronic Materials, Feb. 2026,
doi: 10.1021/acsaelm.5c02300

* Department of Electrical and Computer Engineering, Sungkyunkwan University (SKKU), Suwon 16419 (KR)

Abstract: This paper presents a unified compact model that comprehensively captures nonideal behaviors such as asymmetric hysteresis and minor loops of ferroelectric devices based on hafnium zirconium oxide (HfO2–ZrO2, HZO). The proposed model, based on the Preisach framework, integrates branch-dependent slopes, asymmetric coercive voltages, imprint-induced loop shifts, and low-voltage minor-loop responses into a unified analytical form. Implemented in Verilog-A, the proposed model reproduces measured polarization–voltage (P–V) characteristics of a ferroelectric capacitor (FeCAP) with higher accuracy than conventional symmetric models. Furthermore, using an identical parameter set, it consistently scales from a single device to logic, memory, and neuromorphic circuits, enabling prediction of operating characteristics and read/write margins. Owing to these capabilities, the model serves as a reliable predictive tool for circuit-level design and provides a practical pathway for process–design feedback and co-optimization.



Feb 17, 2026

[paper] Cryo FD SOI LNA Design

Giovani Britton, Salvador Mir, Estelle Lauga-Larroze, Benjamin Dormieu, Jose Lugo, Joao Azevedo, Sebastien Sadlo, Quentin Berlingard, Mikael Casse, Philippe Galy
Using DC transistor characterization measurements for LNA design at cryogenic temperatures
(2026) researchsquare.com
DOI: 10.21203/rs.3.rs-7754596/v1

1. STMicroelectronics, Crolles (F)
2. Univ. Grenoble Alpes, CNRS, Grenoble-INP, TIMA, Grenoble (F)
3. Univ. Grenoble Alpes, CEA-Leti, Grenoble (F)
4. Univ. Grenoble Alpes, CNRS, Grenoble-INP, IMEP-LAHC, Grenoble (F)

Abstract: The design of Radio Frequency (RF) cryogenic circuits has attracted much interest in recent years due to applications such as quantum computers. Interface electronics with ultra-low levels of power consumption at temperatures as low as 4 K are required. Silicon technologies are being considered for implementation because of the possibility of large-scale qubit integration with energy-efficient readout and control interfaces. However, the design of RF cryogenic circuits is complicated because of the lack of standard design kits with the corresponding component models for their simulation at these temperatures. Alternative approaches to avoid costly design and fabrication cycles are possible, in particular the use of Look-Up-Table (LUT) based techniques that exploit characterization data of circuit components at cryogenic temperature. In this paper, we make use of this approach for the design of a RF Low Noise Amplifier (LNA) using a 28 nm FD-SOI technology that has been characterized at cryogenic temperatures1using DC measurements. Furthermore, we also experimentally demonstrate that the DC measurements used are valid to extract the transistor noise parameters used in the LUT-based analysis.


Fig: Measurement of: (a) transconductance gm, and (b) threshold voltage Vth 
for the 28nm FD-SOI technology, from 300K down to 4K.

Acknowledgements: This work was supported by the French CIFRE program and the Labex MINOS of French program ANR-10-LABX-55-01.

Feb 15, 2026

[paper] From RTL to Prompt Coding Chip Design

Lukas Krupp∗, Matthew Venn† and Norbert Wehn∗
From RTL to Prompt Coding: Empowering the Next Generation of Chip Designers through LLMs
arXiv:2601.13815v1 [cs.AR] 20 Jan 2026

∗RPTU University of Kaiserslautern-Landau, Kaiserslautern, Germany
†Tiny Tapeout

Abstract: This paper presents an LLM-based learning platform for chip design education, aiming to make chip design accessible to beginners without overwhelming them with technical complexity. It represents the first educational platform that assists learners holistically across both frontend and backend design. The proposed approach integrates an LLM-based chat agent into a browser-based workflow built upon the Tiny Tapeout ecosystem. The workflow guides users from an initial design idea through RTL code generation to a tapeout-ready chip. To evaluate the concept, a case study was conducted with 18 high-school students. Within a 90-minute session they developed eight functional VGA chip designs in a 130 nm technology. Despite having no prior experience in chip design, all groups successfully implemented tapeout-ready projects. The results demonstrate the feasibility and educational impact of LLM-assisted chip design, highlighting its potential to attract and inspire early learners and significantly broaden the target audience for the field.

Fig: Overview of the proposed idea-to-GDSII learning workflow integrating the LLM-based chat agent for the RTL implementation, VGA simulation tool, and GitHub-driven backend flow.

Acknowledgments: This paper was funded by the German Federal Ministry of Research, Technology and Space (BMFTR) as part of the “Chipdesign Germany” project under grant number 16ME0890.

Feb 12, 2026

ChipFoundry Webinar Recording: New CLI, OpenFrame & Production


Feb 11, 2026

[C4P] ESSERC 2026


ESSERC 2026 PAPERS SUBMISSION DEADLINE 
APRIL 3, 2026

Papers submitted for ESSERC 2026 review must clearly state:
  • The purpose of the work
  • How and to what extent it advances the state-of-the art
  • Specific results and their impact.
Only work that has not been previously published or submitted elsewhere will be considered. Submission of a paper for review and subsequent acceptance is considered as a commitment that the work will not be publicly available prior to the conference. Measurement results or calibration against measured data is required to support the claims of the submitted paper.

ESSERC 2026 Conference Tracks 
  1. Advanced Technology, Process and Materials
  2. Analog, Power and RF Devices
  3. Modelling and Simulation of Electron Devices
  4. Analog Circuits
  5. Data Converters
  6. RF & mm‑Wave Circuits
  7. Frequency Generation Circuits
  8. Digital Circuits & Systems
  9. Power Management
  10. Wireless Systems
  11. Wireline and Optical Circuits and Systems
  12. Emerging Computing Devices and Circuits
  13. Architectures and Circuits for AI and ML
  14. Devices & Circuits for Sensors, Imagers and Displays
After selection of papers, the authors will be informed about the decision of the Technical Program Committee by e-mail by May 27, 2026.

At the same time, the complete program will be published on the conference website. An oral presentation will be given at the Conference for each accepted paper. No-shows will result in the exclusion of the papers from any conference related publication. The submitted final PDF files must be IEEE Xplore compliant.

Best Paper Award: Papers presented at the conference will be considered for the “Best Paper Award” and “Best Young Scientist Paper Award”. The selection will be based on the results of the paper selection process and the judgment of the conference participants. The award delivery will take place during ESSERC 2027.

For each paper independently, at least one (co-)author is required to register for the conference (one registration one paper policy). Registration fees and deadlines will be available on the conference website.

 

Feb 10, 2026

Open Silicon microelectronic bootcamp

Call for leaders to organize an Open Silicon microelectronic bootcamp
Bring Chip Design to Your Community!

Join the global Open Silicon movement and gain hands-on experience in chip design and fabrication. Our Q1 2026 bootcamps provide access, mentoring, and real silicon opportunities for students, educators, and innovators.

The IEEE is seeking passionate leaders from around the world to organize microelectronics design bootcamps in their local communities, under the IEEE division 1 OPEN SILICON initiative.
If you organize a bootcamp between February and May 2026, IEEE will sponsor the fabrication of three of your designs. You'll receive your fabricated chips (tape-out) mounted on a development board for testing and hands-on exploration.

Selected bootcamp leaders will be invited to an online training session with Matt Venn (Tiny Tapeout) during the last week of February.

To be considered, please provide the following information at REGISTRATION FORM

Key Dates:
  • Bootcamp Leader Registration Deadline: Sunday, February 22nd, 2026
  • Leader Training Session: Last week of February (TBD)
  • Bootcamp Period: March–May 2026
  • Tapeout Submission Deadline: March 23rd, 2026 / May 1st, 2026
  • Development Board Shipping: September 2026 / November 2026




Feb 9, 2026

ICMC 2026: Paper Deadline Extended!

Submission Deadline Extended
IMPORTANT DATES
February 16, 2026:   Extended Submission Deadline
April 6, 2026:   Acceptance Notification
May 10, 2026:   Final Version for Publication
 
This year, the  International Compact Modeling Conference (ICMC)  especially encourages submissions in the following domains:
  • Electrostatic Discharge (ESD) modeling for protection design
  • Reliability and aging-aware compact models and simulation techniques
  • AI or Machine Learning for model development, parameter extraction, circuit simulation efficiency, etc.
We are also seeking submissions in the following domains:
  • Application of Device Models
  • Device Model Development
  • Model Enhancements and Implementations
  • Emerging Devices
 
 
 
Conference Sponsors
 
 
 
Media Sponsors
 
 
Industry Sponsors