UPF researchers have led the creation of a computational simulator that is unique in the world to study one of the causes of ...

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

Iridium-doped iron-cobalt (Fe-Co-Ir) alloys, previously identified through machine learning, have been shown to have enhanced magnetic properties, surpassing even the widely used pure Fe-Co alloy.

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

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.

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 ...

The materials science graduate program seeks to provide solutions for several different fields, including energy, medicine, clothing, and equipment production. Good to Know Chemistry and Biochemistry ...

A curated collection of Python examples for optimization-based solid simulation, emphasizing algorithmic convergence, penetration-free, and inversion-free conditions, designed for readability and ...