(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 ...
Peer-reviewed research finds the company’s novel technology enables faster dataset construction, further shortening Avicenna’s timelines to develop life-saving medicines. “We’re accustomed to hearing ...
Researchers at Stony Brook University’s Materials Science and Chemical Engineering Department have been using computers that are capable of learning to recognize various steps in the complex movement ...
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Explainable AI supports improved nickel catalyst design for converting carbon dioxide into methane
The conversion of carbon dioxide into clean fuels is regarded as an important route toward carbon neutrality. CO 2 methanation, in particular, has drawn increasing interest due to its favorable ...
In March, a paper in the Journal of the American Chemical Society sparked a heated Twitter debate on the value of machine learning for predicting optimal reaction pathways in synthetic chemistry. The ...
Machine-learning tools have taken us closer to understanding electrons and how they behave in chemical interactions, following news that UK-based AI company DeepMind, owned by Google’s parent company ...
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Chemistry is stuck in the dark ages: 'Chemputation' can bring it into the digital world
Chemistry deals with that most fundamental subject: matter. New drugs, materials and batteries all depend on our ability to make new molecules. But discovery of new substances is slow, expensive and ...
This crazy machine is a new kind of microscope that can identify a chemical based on just a few atoms. Awesomely, it sucks up intense X-ray beams from a synchrotron to do it. Developed by a research ...
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