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Technical Paper Round-Up: May 24

Computational SRAM; RISC-V virtual prototyping; eFPGA redaction; Image edge detection; Nanosheets; Sensor fusion; Mixed-signal ASIC; Silicon photonics; Memristors; Power electronics, AFM

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New technical papers added to Semiconductor Engineering’s library this week.

 

Technical Paper Research Organizations
Towards a Truly Integrated Vector Processing Unit for Memory-bound Applications Based on a Cost-competitive Computational SRAM Design Solution Univ. Grenoble Alpes, CEA, LIST
Advanced virtual prototyping for cyber-physical systems using RISC-V: implementation, verification and challenges Institute of Computer Science, University of Bremen and Cyber-Physical Systems, DFKI GmbH
ALICE: An Automatic Design Flow for eFPGA Redaction Politecnico di Milano, NYU, University of Calgary, and the University of Utah
Oscillatory Neural Network as Hetero-Associative Memory for Image Edge Detection LIRMM – Laboratoire d’Informatique de Robotique et de Microélectronique de Montpellier
Remarkably High-Performance Nanosheet GeSn Thin-Film Transistor National Yang Ming Chiao Tung University and others
Multi-View Fusion of Sensor Data for Improved Perception and Prediction in Autonomous Driving Uber ATG
An Ultra Low Current Measurement Mixed-Signal ASIC for Radiation Monitoring Using Ionisation Chambers CERN
Microcomb-driven silicon photonic systems Peking University, UCSB, and Peng Cheng Laboratory
Simultaneous emulation of synaptic and intrinsic plasticity using a memristive synapse Korea Advanced Institute of Science and Technology (KAIST)
Review and Evaluation of Power Devices and Semiconductor Materials Based on Si, SiC, and Ga-N Numerous institutions in India
Enhancing sensitivity in atomic force microscopy for planar tip-on-chip probes Eindhoven University of Technology, Lorraine University and DRF/IRAMIS/SPEC-LEPO, Centre CEA de Saclay.

Semiconductor Engineering is in the process of building this library of research papers. Please send suggestions (via comments section below) for what else you’d like us to incorporate. If you have research papers you are trying to promote, we will review them to see if they are a good fit for our global audience. At a minimum, papers need to be well researched and documented, relevant to the semiconductor ecosystem, and free of marketing bias. There is no cost involved for us posting links to papers.



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