Predicting material properties remains a major challenge in materials science, as it often requires complex and ...

LUXEMBOURG / ACCESSWIRE / November 13, 2019 / e-Xstream engineering, a market leader in materials simulation software and engineering services and part of Hexagon, announces advanced new capabilities ...

MIT researchers have developed DiffSyn, a generative AI model that predicts multiple viable synthesis routes for complex materials like zeolites. Trained on decades of scientific recipes, it offers ...

Atomistic modeling techniques use modern computing power to explicitly include every atom in modeling of a material. As interacting atoms are the foundation of all materials science, atomistic ...

Basic hurdles in materials modelling, such as access to experimental raw data, thwart fast progress. Governmental and grass-roots initiatives have stepped up to help overcome current limitations.

The explosion of mobile electronic devices, electric vehicles, drones and other technologies have driven demand for new lightweight materials that can provide the power to operate them. The explosion ...

While the concept of quantum computing has been discussed for more than 40 years, only recently have experiments indicated that a practical quantum computer may be possible. Recent developments in ...