Physics-Based Multi-Bias RF Large-Signal GaN HEMT #Modeling and Parameter Extraction Flow - IEEE Xplore Document... https://t.co/tT8gOLBa9k

Physics-Based Multi-Bias RF Large-Signal GaN HEMT #Modeling and Parameter Extraction Flow - IEEE Xplore Document... https://t.co/tT8gOLBa9k

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Physics-Based Multi-Bias RF Large-Signal GaN HEMT #Modeling and Parameter Extraction Flow - IEEE Xplore Document… https://t.co/xwC7X2oxYm

Physics-Based Multi-Bias RF Large-Signal GaN HEMT #Modeling and Parameter Extraction Flow - IEEE Xplore Document https://t.co/sds4WvM9TZ http://pic.twitter.com/EmSfD8SUZO

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An Analytical #Model for the Gate C–V Characteristics of UTB III—V-on-Insulator MIS Structure - IEEE Xplore... https://t.co/Fe1Fqwu5BJ

An Analytical #Model for the Gate C–V Characteristics of UTB III—V-on-Insulator MIS Structure - IEEE Xplore... https://t.co/Fe1Fqwu5BJ

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An Analytical #Model for the Gate C–V Characteristics of UTB III—V-on-Insulator MIS Structure - IEEE Xplore Documen… https://t.co/oeYfcvWNvI

An Analytical #Model for the Gate C–V Characteristics of UTB III—V-on-Insulator MIS Structure - IEEE Xplore Document https://t.co/W0W0Yhy0Ci http://pic.twitter.com/bWq1erxitj

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Modeling and simulation of biological systems using SPICE language

Morgan Madec¹, Christophe Lallement¹, Jacques Haiech²

¹ICube, UMR7357, CNRS / Université de Strasbourg, France

²LIT, UMR 7200, CNRS / Université de Strasbourg, France

Published: August 7, 2017
doi: 10.1371/journal.pone.0182385

Abstract: The article deals with BB-SPICE (SPICE for Biochemical and Biological Systems), an extension of the famous Simulation Program with Integrated Circuit Emphasis (SPICE). BB-SPICE environment is composed of three modules: a new textual and compact description formalism for biological systems, a converter that handles this description and generates the SPICE netlist of the equivalent electronic circuit and NGSPICE which is an open-source SPICE simulator. In addition, the environment provides back and forth interfaces with SBML (System Biology Markup Language), a very common description language used in systems biology. BB-SPICE has been developed in order to bridge the gap between the simulation of biological systems on the one hand and electronics circuits on the other hand. Thus, it is suitable for applications at the interface between both domains, such as development of design tools for synthetic biology and for the virtual prototyping of biosensors and lab-on-chip. Simulation results obtained with BB-SPICE and COPASI (an open-source software used for the simulation of biochemical systems) have been compared on a benchmark of models commonly used in systems biology. Results are in accordance from a quantitative viewpoint but BB-SPICE outclasses COPASI by 1 to 3 orders of magnitude regarding the computation time. Moreover, as our software is based on NGSPICE, it could take profit of incoming updates such as the GPU implementation, of the coupling with powerful analysis and verification tools or of the integration in design automation tools (synthetic biology).

GeNeDA results from the collaboration between three laboratories:
The Laboratory of Engineering Sciences, Computer Sciences and Imaging, ICube, UMR7357, CNRS / Université de Strasbourg, France (Morgan MADEC, Yves GENDRAULT, Elise ROSATI and Christophe LALLEMENT)
The Laboratory of Therapeutic Innovation, LIT, UMR 7200, CNRS / Université de Strasbourg, France (Jacques HAIECH)
The Laboratory of Computer Sciences of Paris 6, LIP6, UMR7606, CNRS / Université Pierre et Marie Curie, Paris, France (François PECHEUX)

Relared papers has been published recently
[1] M. Madec, F. Pêcheux, Y. Gendrault, E. Rosati, C. Lallement and J. Haiech, "GeNeDA: An Open-Source Workflow for Design Automation of Gene Regulatory Networks Inspired from Microelectronics", Journal of Computational Biology, June 2016. doi:10.1089/cmb.2015.0229.
[2] M. Madec et al., "Reuse of Microelectronics Software for Gene Regulatory Networks Design Automation", 1st international conference of the GDB BioSynSys, Paris (FR), Sept. 2016.
[3] M. Madec et al., "EDA inspired Open-source Framework for Synthetic Biology", IEEE 2013 BioCAS Conference, Rotterdam (NL), Nov. 2013.

Germany’s RWTH Aachen University and AMO launch joint Aachen Graphene & 2D-Materials Center

RWTH Aachen University and AMO GmbH in Germany have launched a new joint research center with a focus on efficiently bridging the gap between fundamental science and applications within graphene and related materials-based electronics and photonics.

Sharing the vision of bringing graphene and related materials research from the lab into applications, the five founding principal investigators of the Aachen Graphene and 2D-Materials Center (who are also all members of the EU-funded Graphene Flagship project) are professor Christoph Stampfer (of RWTH, and spokesman for the center), professor Max Lemme (of AMO and RWTH), professor Markus Morgenstern (of RWTH), professor Renato Negra (of RWTH) and Dr Daniel Neumaier (of AMO).

“The center will help to turn the exciting properties of graphene and 2D [two-dimensional] materials into true functions, making these materials not only fascinating for scientists but also serving society,” said Christoph Stampfer following the center’s kick-off meeting on 24 July. “With the Aachen Graphene and 2D-Material Center, we aim at increasing the visibility of Aachen as an excellent place to undertake graphene and 2D material research with both a fundamental and applied focus.”

The center enables the integration of the already ongoing work from RWTH Aachen University and AMO under a legal framework that allows for full collaboration between the groups. In particular, the center will focus on addressing the challenges of future technology including high-frequency electronics, flexible electronics, energy-efficient sensing, photonics as well as spintronics and valleytronics with graphene and related materials and their heterostructures.

Founding Members of the Aachen Graphene and 2D Materials Center:

• Prof. Christoph Stampfer, RWTH Aachen University (Spokesman)
• Prof. Max Lemme, RWTH Aachen University/AMO GmbH
• Prof. Markus Morgenstern , RWTH Aachen University
• Prof. Renato Negra, RWTH Aachen University
• Dr. Daniel Neumaier, AMO GmbH

Performance Assessment of A Novel Vertical Dielectrically Modulated TFET-Based Biosensor - IEEE Xplore #paper https://t.co/jRvJS3MUTs

Performance Assessment of A Novel Vertical Dielectrically Modulated TFET-Based Biosensor - IEEE Xplore #paper https://t.co/jRvJS3MUTs

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