Sort by
Refine Your Search
-
Machine Learning-driven Autonomous Systems for Materials Discovery and Optimization NIST only participates in the February and August reviews. We are developing machine learning-driven autonomous
-
NIST only participates in the February and August reviews. We are developing machine learning algorithms to accelerate the discovery and optimization of advanced materials. These new algorithms form
-
, physical, optical, and thermal properties of WBG semiconductors, including diamond, make these materials among the most prospective for high-frequency power electronics, quantum computing, solar-blind
Searches related to computing optimization
Enter an email to receive alerts for computing-optimization positions