Robotics & Machine Learning Daily News2024,Issue(Feb.16) :70-70.DOI:10.1103/Phys-RevB.108.174514

Investigators from University of Alabama Birmingham Report New Data on Machine Learning (Machine Learning the Relationship Between Debye Temperature and Superconducting Transition Temperature)

Robotics & Machine Learning Daily News2024,Issue(Feb.16) :70-70.DOI:10.1103/Phys-RevB.108.174514

Investigators from University of Alabama Birmingham Report New Data on Machine Learning (Machine Learning the Relationship Between Debye Temperature and Superconducting Transition Temperature)

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Abstract

Researchers detail new data in Machine Learning. According to news reporting out of Birmingham, Alabama, by NewsRx editors, research stated, "Recently a relationship between the Debye temperature OD and the superconducting transition temperature Tc of conventional superconductors has been proposed [Esterlis et al., npj Quantum Mater. 3, 59 (2018)]. The relationship indicates that Tc AOD for phonon-mediated BCS superconductors, with A being a prefactor of order -0.1." Funders for this research include National Science Foundation (NSF), UAB Blazer Fellowship, FTPP CERIF Graduate Research Assistantship, National Science Foundation (NSF), United States Department of Energy (DOE), ADECA.

Key words

Birmingham/Alabama/United States/North and Central America/Cyborgs/Emerging Technologies/Machine Learning/University of Alabama Birmingham

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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