Traditional computational approaches make the problem manageable by stripping away much of that real-material complexity.

The integration of deep neural networks with the variational Monte Carlo (VMC) method has marked a substantial advancement in solving the Schrödinger equation. In this work we enforce spin symmetry in ...

High-level ab initio quantum chemical (QC) molecular potential energy surfaces (PESs) are crucial for accurately simulating molecular rotation-vibration spectra. Machine learning (ML) can help ...

A computational method for finding transition states in chemical reactions, greatly reducing computational costs with high reliability, has been devised. Compared to the most widely used existing ...

The Computational Methods Workshop's speakers were focused on today’s real research problems and opportunities in research ...

A puzzle in theoretical chemistry has been solved at TU Wien: A new computational method now makes it possible to calculate the forces between large molecules with unprecedented accuracy. Why can ...

Leading computational chemistry expert to advise MitoCareX as it expands its in silico drug-discovery capabilitiesNess Ziona, Israel, Sept. 24, ...

Researchers at the Department of Energy's (DOE) Oak Ridge National Laboratory (ORNL) have developed a computational method ...

Researchers from the IMDEA Materials Institute and the Technical University of Madrid have developed a mathematical model ...

Scientists in Israel have shown that a computer can help rewire the immune system’s most powerful weapons. In a study ...

AbstractCurrent generative AI relies heavily on large-scale matrix calculations centered on Transformers, as well as the GPUs and data centers that process them at high speeds.Increasing model size ...