An international team led by Einstein Professor Cecilia Clementi in the Department of Physics at Freie Universität Berlin has introduced CGSchNet, a machine-learned coarse-grained (CG) model that can ...

Researchers at Aston University have developed a new AI-based robot training approach aimed at reducing the long-standing ...

Design engineering is running headfirst into a materials bottleneck. Industries such as automotive, aerospace, electronics, and semiconductors now depend on increasingly complex materials. Yet ...

David J. Silvester, a mathematics professor at the University of Manchester, has developed a novel machine-learning method to detect sudden changes in fluid behavior, improving speed and the cost of ...

Researchers have developed an AI training method that enables robots to transfer skills learned in simulation into real-world ...

Ishikawa, Japan-- Boron nitride (BN) is a versatile material with applications in a variety of engineering and scientific fields. This is largely due to an interesting property of BN called ...

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Gravity used to be the most down-to-earth of ideas, the thing that kept apples falling and planets in line. Now a growing group of physicists is treating it as a possible glitch report from the fabric ...

Surface water and groundwater form an interconnected hydrological system, where pollutant migration—especially that of emerging pollutants (e.g., PFAS, ...

Despite the huge technological interest in boron nitride (BN), understanding the relative stability of its different structural phases remains a challenge owing to conflicting results from experiments ...