(Nanowerk Spotlight) Computational calculations are revolutionizing modern scientific research, offering a powerful means to predict the potential applications of new materials. Unlike traditional ...

The team developed a computational framework using robotic path planning algorithms to rapidly identify optimal composition gradients between dissimilar materials. The framework enables the creation ...

A new quantum-inspired algorithm is reshaping how scientists approach some of the most complex materials known, enabling ...

The diagram illustrates the interplay among data acquisition, machine learning, and experiment synthesis. Physical models such as thermodynamics and kinetics can be integrated into ML models as expert ...

Modeling and creating simulations are key skills in any math, science or engineering profession. That’s why we’ve created a unique, interdisciplinary computational science minor. This minor gives ...

Materials science and engineering continues to advance through research at the intersection of chemistry, physics, biology, and engineering. This ...

West Texas A&M University will now offer a free Computational Summer Camp entitled “Molecules to Megawatts: AI for Future Energy” that is scheduled for June 22 to July 10.

Startups flush with cash are building AI-assisted laboratories to find materials far faster and more cheaply, but are still waiting for their ChatGPT moment. The microwave-size instrument at Lila ...

Open Materials 2024 will be one of the biggest data sets available for materials science. Meta is releasing a massive data set and models, called Open Materials 2024, that could help scientists use AI ...

In materials science, if you can understand the "texture" of a material—how its internal patterns form and shift—you can begin to design how it behaves. That's the focus of the work of Zhenglu Li, ...