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Life has always played by its own set of molecular rules. From the biochemistry behind the first cells, evolution has constructed wonders like hard bone, rough bark and plant enzymes that harvest light to make food.
The High Performance Computing Program (HPCP) at CSU San Bernardino has been selected to receive the CENIC 2024 Innovations in Networking Award for Research Applications in recognition of its work supporting faculty who wish to avail themselves of...
Machine Learning: The conventional alloy design process is multistage and thus multivariable, leading to tremendous effort. Further, alloy design is also about meeting a well-defined target of properties like yield strength, ultimate tensile strength, fracture toughness, fatigue life etc. ML method can eliminate long hit-and-trial-based expensive methodology of material design to smart discovery and deployment. A tangible effort is going on across the globe to curate, capture, generate and manage data and to come up with algorithms to predict the next processes and materials.
CHIPS for America was established by historic legislation to bring semiconductor manufacturing back to the U.S.
WASHINGTON, DC In remarks to the Industry Advisory Committee today, Laurie E. Locascio, Under Secretary of Commerce for Standards and Technology and Director of the National Institute of Standards and Technology (NIST), will announce five leaders joining the CHIPS Research and Development office within CHIPS for America. CHIPS for America was created by landmark […]