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.