Technical Paper Round-Up: April 19

Latest additions to Semiconductor Engineering’s technical report library.


New technical papers include selective etching, ISO 26262 test bench, hardware accelerators, RISC-V, lidar, EUV mask inspection, fault attacks, edge computing, gallium oxide, and machine learning for VLSI CAD-on-chip power grid design.

Cutting-edge research is now a global effort. It extends from the U.S. Air Force, to schools such as MIT, and universities in Italy, Spain, Portugal, India, Korea. Companies are contributing to some of that research, as well, both individually and in partnership with academic institutions.

Find all technical papers in Semiconductor Engineering’s library.

Technical Paper Research Organizations
Selective Etching Of Silicon Nitride Over Silicon Oxide Using ClF3 /H2 Remote Plasma Sungkyunkwan University, MIT and others
A Novel ISO 26262-Compliant Test Bench To Assess The Diagnostic Coverage Of Software Hardening Techniques Against Digital Components Random Hardware Failures Politecnico di Torino, Italy
A Survey Of Network-Based Hardware Accelerators Institute of Electronics and Informatics Engineering of Aveiro (IEETA)
Performance Implications For Multi-Core RISC-V Systems With Dedicated Security Hardware Air Force Institute of Technology, Wright-Patterson Air Force Base, USA
Customizable FPGA-Based Hardware Accelerator For Standard Convolution Processes Empowered With Quantization Applied To LiDAR Data University of Minho; Associação Laboratório Colaborativo em Transformação Digital; Bosch; University of Trás-os-Montes and Alto Douro
Source Performance Metrics For EUV Mask Inspection KLA
Hardware Countermeasures Benchmarking Against Fault Attacks Instituto de Microelectrónica de Sevilla; Universidad de Sevilla; Universidade de Lisboa
Embedded Microprocessor Extension Design And Optimization For Real-Time Edge Computing North China Electric Power University; Beijing Smart-Chip Microelectronics Technology Co; Peking University
Gallium Oxide Power Electronic Roadmap Wright Patterson Air Force Base; UCSB; Cornell; Georgia Tech; Penn State and others.
Machine Learning For VLSI CAD: A Case Study In On-Chip Power Grid Design Indian Institute of Technology Guwahati


Semiconductor Engineering is in the process of building this library of research papers.  Please send suggestions 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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