WEST LAFAYETTE, Ind. – A Purdue-affiliated company is developing a way to reduce drug development costs by more accurately and efficiently modeling molecules and chemical reactions in liquid solutions ...
Researchers develop an AI-based platform that integrates reaction data with catalyst performance for the design of new ...
Researchers have used machine learning to create a model that simulates reactive processes in organic materials and conditions. Researchers from Carnegie Mellon University and Los Alamos National ...
CatDRX is a generative AI framework developed at Institute of Science Tokyo, which enables the design of new chemical catalysts based on the specific chemical reactions in which they are used. The ...
A team led by Guoyin Yin at Wuhan University and the Shanghai Artificial Intelligence Laboratory recently proposed a modular machine learning ...
Researchers have discovered a new way to drive chemical reactions that could generate a wide variety of azetidines -- four-membered nitrogen heterocycles that have desirable pharmaceutical properties.
A ring of beads connected to tentacles A modeling study shows how chemical reactions can stimulate motion in simple systems, like the structure here—made of enzyme coated beads connected to ...
Cells spend energy not just on reactions, but on control. New research explains why staying stable comes with an unseen ...
WEST LAFAYETTE, Ind. – A Purdue-affiliated company is developing a way to reduce drug development costs by more accurately and efficiently modeling molecules and chemical reactions in liquid solutions ...
(Nanowerk News) Researchers from Carnegie Mellon University and Los Alamos National Laboratory have used machine learning to create a model that can simulate reactive processes in a diverse set of ...
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