首页|New Machine Learning Findings Reported from University of California San Diego ( UCSD) (Robust Machine Learning Inference From X-ray Absorption Near Edge Spectra Through Featurization)
New Machine Learning Findings Reported from University of California San Diego ( UCSD) (Robust Machine Learning Inference From X-ray Absorption Near Edge Spectra Through Featurization)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Investigators publish new report on Ma chine Learning. According to news reportingout of La Jolla, California, by News Rx editors, research stated, “X-ray absorption spectroscopy (XAS)is a commonly employed technique for characterizing functional materials. In particular, X-ray absorptionnear edge spectra (XANES) encode local coordination and electronic i nformation, and machine learningapproaches to extract this information are of s ignificant interest.”
La JollaCaliforniaUnited StatesNor th and Central AmericaCyborgsEmerging TechnologiesMachine LearningUniver sity of California San Diego (UCSD)
NETL
NSTL
