In recent years, research using artificial intelligence to predict material properties has advanced rapidly. Neural network ...

Computational chemistry often requires specialized expertise, multiple software tools, and lengthy workflows. Researchers at ...

Computational chemistry bridges quantum mechanics, statistical mechanics and chemical intuition to predict molecular and materials behaviour from first principles. At its heart are ...

Chemists have demonstrated that neutral chalcogen-bond donors can induce asymmetry in chemical reactions, addressing a challenge that has limited the development of chalcogen-bonding catalysis.

The Boston-based computational chemistry start-up Rowan Scientific has secured $2.1 million in preseed funding from investors including Pillar VC and AI Grant. The firm was formed last year by ...

Argonne National Laboratory, researchers have developed ChemGraph, an open-source framework that uses artificial intelligence (AI) to help ...

The world is awash with news about artificial intelligence tools, including those intended to help chemists. But are the tools useful, a threat, or even worth the attention? It’s hard to know, ...

Materials Science Physical Chemistry Energy Synthesis Earth, Space, and Environmental Chemistry Choose from more than 200 courses in seven different categories, taught by experts in the chemistry ...

Computational chemistry has its roots in the early attempts by theoretical physicists, beginning in 1928, to solve the Schrödinger equation (see Box 2.1) using hand-cranked calculating machines. These ...

The typical four-year outline for Michigan Tech's Computational Chemistry and Chemical Informatics bachelor's degree provides a semester-by-semester guide to core courses, labs, and requirements.