In this article, we look at the AI that ENEOS is using for material development. While it is a company name you see at gas ...

Simulations show a surface coating cuts the energy needed to strip sulfur from 2D materials, easing a stubborn chip ...

A research team led by faculty at the Duke Quantum Center (DQC) has observed string-breaking dynamics related to ...

New York University researchers have trained an AI model to learn chemical patterns associated with stability in drug-like ...

Researchers have released their method as an open-source tool that can rapidly analyze very large molecular libraries.

An AI model has been developed to predict the most stable form of drug-like molecules by identifying hydrogen atom positions. The tool could improve molecular modeling, drug screening, and ...

Deep inside every steel mill, every casting line, and every molten droplet of iron-based alloy, atoms are constantly jostling, colliding, and migrating through a dense, disordered liquid. How quickly ...

Using deep learning, researchers predict tautomeric states - an important foundation for reliable drug design.

While lithium-ion batteries (LIBs) remain the most widely used rechargeable batteries worldwide, energy engineers have been ...

For all the work being done to get to fault-tolerant, scalable quantum computing – system architectures, the development of ...

New York University researchers have trained an AI model to learn chemical patterns associated with stability in drug-like molecules and accurately predict where their hydrogen atoms should be ...

Researchers have successfully simulated the birth of fundamental matter on three separate quantum computers, replicating ...