New language encodes shape and structure to help machine learning models predict nanopore properties
A large number of 2D materials like graphene can have nanopores—small holes formed by missing atoms through which foreign substances can pass. The properties of these nanopores dictate many of the ...
Theoretical physicists use machine-learning algorithms to speed up difficult calculations and eliminate untenable theories—but could they transform what it means to make discoveries? Theoretical ...
Across modern data-intensive disciplines, the union of numerical computation, statistics, and machine learning has become ...
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