首页|Findings from Carnegie Mellon University Provides New Data about Machine Learning (Unifying Theory of Electronic Descriptors of Metal Surfaces Upon Perturbation )

Findings from Carnegie Mellon University Provides New Data about Machine Learning (Unifying Theory of Electronic Descriptors of Metal Surfaces Upon Perturbation )

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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is th e subject of a report. According to news reporting out of Pittsburgh, Pennsylvan ia, by NewsRx editors, research stated, “We present a unifying theory for predic ting electronic descriptors (e.g., the d-band center is an element of(d)) of tra nsition and noble metal surfaces by interpretable deep learning.”

PittsburghPennsylvaniaUnited StatesNorth and Central AmericaCyborgsEmerging TechnologiesMachine LearningCarnegie Mellon University

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Oct.23)