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