The authors devise an efficient quantum approach to address the van der Waals interactions due to photoexcitations by approximating the Bethe-Salpeter equation. Both attractive/repulsive forces can ...

Machine learning-based neural network potentials often cannot describe long-range interactions. Here the authors present an approach for building neural network potentials that can describe the ...

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 ...

Machine learning is totally overhyped. Machine learning is completely not overhyped. Machine learning is transformative. Machine learning is a tool like any other. Ask 10 chemists what they think ...

Nomination Period Extended: Due to the impacts of the federal government shutdown on many of our members, we have extended the nomination period for the 2027 National Awards until December 15 at 11.59 ...

Six popular machine learning models. (a) Decision tree; (b) feedforward neural network (Trans: transformation; Activ Func: activation functions); (c) convolution neural network (Conv: convolution; ...

Quantum mechanics. Quantum tunneling, Quantum computing. Quantum biology. The implications of the quantum world are extraordinary — and potentially intimidating to students trying to maintain a good ...

Chemistry is a language. Some organic chemistry professors drop that analogy on their students, hoping to get them to see how learning symbols, rules, and suffixes can lead to a broader understanding ...

Foundations in Chemistry: Chemistry is conveniently divided into several widely recognized subfields. The chemistry major at Willamette University requires all students to take courses in analytical ...

Whether you are an aspiring Chemistry student or just a normal know-it-all geek, the Periodic Table offers you the simplest way to keep tabs on the atomic elements and their chemical properties. And ...