Alphacore To Develop Rad-Hard CMOS Standard Cell Library, Meeting DOD Standards, For U.S. Navy
Aug 19, 2019 -- Alphacore, a leader in robust radiation hardened analog, mixed-signal and RF designs for strategic and space missions, will develop a complete library of radiation-hard standard cells implemented for fabrication of deep sub-micron processes like the GlobalFoundries GF22FDX. Developed CMOS test characterization vehicles will be used to identify and quantify SEL, SEB, SEU and TID radiation effects as well as other degradation mechanisms associated with reliability of these advanced technologies. The cell library models will be compatible with contemporary available design environments.
|
Related News
- U.S. Department of Defense Awards SkyWater up to $99M in Additional Funding to Advance Rad-Hard Technology to Productization and Qualification
- SilTerra Leverages Silvaco's Library Characterization and Optimization Tools to Boost Efficiency in the Development of its Foundry Standard Cell IPs
- U.S. Government Accredits GlobalFoundries to Manufacture Trusted Semiconductors at New York Facility
- US Government to Fund Expansion of IP Ecosystem for SkyWater's 90 nm Rad-Hard Platform
- Intel Foundry's "No. 1" Customer - U.S. DoD - Targets GAA
Breaking News
- TSMC plans 1.6nm process for 2026
- Qualitas Semiconductor Partners with TUV Rheinland Korea to Enhance ISO 26262 Functional Safety Management System
- M31 has successfully launched MIPI C/D PHY Combo IP on the advanced TSMC 5nm process
- Ceva multi-protocol wireless IP could simplify IoT MCU and SoC development
- Controversial former Arm China CEO founds RISC-V chip startup
Most Popular
- Controversial former Arm China CEO founds RISC-V chip startup
- Siemens collaborates with TSMC on design tool certifications for the foundry's newest processes and other enablement milestones
- Credo at TSMC 2024 North America Technology Symposium
- Synopsys Accelerates Next-Level Chip Innovation on TSMC Advanced Processes
- Kalray Joins Arm Total Design, Extending Collaboration with Arm on Accelerated AI Processing
E-mail This Article | Printer-Friendly Page |