Robotics & Machine Learning Daily News2024,Issue(Jan.9) :90-91.

Yale University Reports Findings in Machine Learning (Machine Learning Many-Body Green’s Functions for Molecular Excitation Spectra)

Robotics & Machine Learning Daily News2024,Issue(Jan.9) :90-91.

Yale University Reports Findings in Machine Learning (Machine Learning Many-Body Green’s Functions for Molecular Excitation Spectra)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Machine Learning is the subject of a report. According to newsreporting from New Haven, Connecticut, by NewsRx journalists, research stated, “We present a machinelearning (ML) framework for predicting Green’s functions of molecular systems, from which photoemission spectra and quasiparticle energies at quantum many-body level can be obtained. Kernel ridge regressionis adopted to predict self-energy matrix elements on compact imaginary frequency grids from static anddynamical mean-field electronic features, which gives direct access to real-frequency many-body Green’sfunctions through analytic continuation and Dyson’s equation.”

Key words

New Haven/Connecticut/United States/North and Central America/Cyborgs/Emerging Technologies/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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