Empirical Bayes is a versatile approach to “learn from a lot” in two ways: first, from a large number of variables and, second, from a potentially large amount of prior information, for example, ...
A new technical paper titled “Deep-learning atomistic semi-empirical pseudopotential model for nanomaterials” was published by researchers at UC Berkeley, Lawrence Berkeley National Laboratory et al. ...
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