Identifying optimal catalyst materials for specific reactions is crucial to advance energy storage technologies and sustainable chemical processes. To screen catalysts, scientists must understand ...
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 ...
(Nanowerk Spotlight) The integration of machine learning (ML) into materials science is rapidly transforming the way researchers discover and design advanced ...
To date, research in the field of combinatorial catalysts has relied on serendipitous discoveries of catalyst combinations. Now, scientists from Japan have streamlined a protocol that combines random ...
A machine learning technique rapidly rediscovered rules governing catalysts that took humans years of difficult calculations to reveal -- and even explained a deviation. The team that developed the ...
No longer. healthcare.ai is on a mission to make machine learning accessible to the thousands of healthcare professionals who possess little or no data science skills but who share an interest in ...
A new study published in Engineering by Xin Wang, Jian Yao, Jin Zhang and their colleagues proposes a machine-learning-guided strategy that combines ...
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