首页|Researchers from Tsinghua University Report Details of New Studies and Findings in the Area of Machine Learning (Interpretable Machine Learning To Discover Perovskites With High Spontaneous Polarization)
Researchers from Tsinghua University Report Details of New Studies and Findings in the Area of Machine Learning (Interpretable Machine Learning To Discover Perovskites With High Spontaneous Polarization)
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NETL
NSTL
Amer Chemical Soc
Investigators discuss new findings in Machine Learning. According to news reporting from Beijing, People’s Republic of China, by NewsRx journalists, research stated, “Machine learning can accelerate the design of new materials by screening large quantities of materials. We investigated the spontaneous polarization intensity of inorganic perovskite ferroelectrics using a machine learning approach.”
BeijingPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningTsinghua University
NETL
NSTL
Amer Chemical Soc
