Robotics & Machine Learning Daily News2024,Issue(Apr.24) :98-99.

New Machine Learning Findings from Technical University Wien (TU Wien) Reported (Machine Learning Boosted Ab Initio Study of the Thermal Conductivity of Janus P tste Van Der Waals Heterostructures)

Robotics & Machine Learning Daily News2024,Issue(Apr.24) :98-99.

New Machine Learning Findings from Technical University Wien (TU Wien) Reported (Machine Learning Boosted Ab Initio Study of the Thermal Conductivity of Janus P tste Van Der Waals Heterostructures)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Data detailed on Machine Learning have been presented. According to news reportingout of Vienna, Austria, by NewsRx e ditors, research stated, “Calculating the thermal conductivity ofheterostructur es with multiple layers presents a significant challenge for state -of -the -art ab initio methods.In this study we introduce an efficient neural-network force field (NNFF) to explore the thermal transportcharacteristics of van der Waals heterostructures based on PtSTe, using both the phonon Boltzmanntransport equat ion and molecular dynamics (MD) simulations.”

Key words

Vienna/Austria/Europe/Cyborgs/Emergi ng Technologies/Machine Learning/Technical University Wien (TU Wien)

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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