(Nanowerk Spotlight) The integration of machine learning (ML) into materials science is rapidly transforming the way researchers discover and design advanced ...
Identifying optimal catalyst materials for specific reactions is crucial to advance energy storage technologies and sustainable chemical processes. To screen catalysts, scientists must understand ...
Catalysts play an indispensable role in modern manufacturing. More than 80% of all manufactured products, from pharmaceuticals to plastics, rely on catalytic processes at some stage of production.
Catalyst's Andrew Bye talks machine learning, hype deflation and how TAR has grown over his time in the e-discovery market. Hometown: I grew up in Newport Beach, California, and have bounced back and ...
CAMBRIDGE, Mass.--(BUSINESS WIRE)--Copernic Catalysts, Inc. (Copernic) today announced an exclusive four-year research collaboration with Schrödinger, Inc. to help accelerate the discovery and ...
Researchers from the University of Houston are using AI and microwave plasma to improve catalysts for renewable energy processes. They aim to accelerate catalyst discovery and enhance efficiency in ...
After uncovering a unifying algorithm that links more than 20 common machine-learning approaches, researchers organized them into a 'periodic table of machine learning' that can help scientists ...
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