Identifying optimal catalyst materials for specific reactions is crucial to advance energy storage technologies and sustainable chemical processes. To screen catalysts, scientists must understand ...
(Nanowerk Spotlight) The integration of machine learning (ML) into materials science is rapidly transforming the way researchers discover and design advanced ...
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 ...
Hydrogen peroxide is widely used but energy-intensive to produce. A new machine-learning framework helps find catalysts that ...
Hydrogen peroxide is widely used in everyday life, from disinfectants and medical sterilization to environmental cleanup and ...
A new study published in Engineering by Xin Wang, Jian Yao, Jin Zhang and their colleagues proposes a machine-learning-guided strategy that combines ...
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 ...
Artificial intelligence (AI) is transforming our world, but within this broad domain, two distinct technologies often confuse people: machine learning (ML) and generative AI. While both are ...
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