Machine learning properties of binary wurtzite superlattices
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DOI: 10.1007/s10853-018-1987-z
Abstract: The burgeoning paradigm of high-throughput computations and materials informatics brings new opportunities in terms of targeted materials design and discovery. The discovery process can be significantly accelerated and streamlined if one can learn effectively from… read more here.
Keywords: binary wurtzite; machine learning; wurtzite superlattices; learning properties ... See more keywords
Machine Learning Properties of Electrolyte Additives: A Focus on Redox Potentials
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DOI: 10.1021/acs.iecr.0c05055
Abstract: Electrolyte additives for lithium-ion battery (LIB), commonly categorized into anode additives, cathode additives, redox shuttle additives, and fire retardants, can improve properties of electrolyt... read more here.
Keywords: machine learning; electrolyte additives; focus redox; learning properties ... See more keywords