New theoretical physics research introduces a simulation method of machine-learning-based effective Hamiltonian for ...

Magnetic materials have become indispensable to various technologies that support our modern society, such as data storage ...

The data-driven model presents an intriguing alternative to traditional material design methods by offering a novel approach to expedite the materials design process. In this study, a framework for ...

A team led by Francesco Paesani, Kurt Shuler Faculty Scholar and professor in the Department of Chemistry and Biochemistry at ...

You’ll put your knowledge to action with research opportunities alongside your PhD advisor on the subject of your choice, such as additive manufacturing, failure analysis or materials data science—to ...

researchers from the Institute of Science and Technology Austria (ISTA) used a 3D printing technique to fabricate high-performance thermoelectric materials, reducing production costs significantly.

Now, researchers from the Waitukaitis group at the Institute of Science and Technology Austria (ISTA) have uncovered a vital clue to this enduring mystery: the contact history of materials ...

Tickets are available here. Andrew Paul is Popular Science’s staff writer covering tech news. By Stack Commerce By Bill Gourgey By Andrew Paul By David Nield By David Nield Breakthroughs ...

title={Morphological Prototyping for Unsupervised Slide Representation Learning in Computational Pathology}, author={Song, Andrew H and Chen, Richard J and Ding, Tong and Williamson, Drew FK and Jaume ...

By applying innovative thinking and a strong fundamental knowledge, we work on practical solutions and approaches within four themes: Curious about what it's like to work at the Faculty of Science?