Robotics & Machine Learning Daily News2024,Issue(Oct.14) :54-55.

Investigators from Massachusetts Institute of Technology Zero in on Machine Lear ning (Crystal Structure Determination From Powder Diffraction Patterns With Gene rative Machine Learning)

Robotics & Machine Learning Daily News2024,Issue(Oct.14) :54-55.

Investigators from Massachusetts Institute of Technology Zero in on Machine Lear ning (Crystal Structure Determination From Powder Diffraction Patterns With Gene rative Machine Learning)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on Machine Learning are discussed in a new report. According to news reporting originating from Camb ridge, Massachusetts, by NewsRx correspondents, research stated, “Powder X-ray d iffraction (PXRD) is a cornerstone technique in materials characterization. Howe ver, complete structure determination from PXRD patterns alone remains time-cons uming and is often intractable, especially for novel materials.” Financial supporters for this research include United States Department of Energ y (DOE), DOENNSA’s Office of Experimental Sciences, National Science Foundation (NSF), United States Department of Energy (DOE), National Science Foundation (N SF).

Key words

Cambridge/Massachusetts/United States/North and Central America/Cyborgs/Emerging Technologies/Machine Learning/Ma ssachusetts Institute of Technology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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