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Rem3Di redefines molecular representation by enabling the differentiation of enantiomers without relying on classical 2D fingerprints, achieving state-of-the-art results in property prediction.
Widely used short-ranged MLIPs can spuriously predict metallization in water due to missing long-range electrostatics, a flaw that can be fixed by including these interactions explicitly.
