Работы, цитирующие эту работу

Работ: 2

Работа: PhysNet: A Neural Network for Predicting Energies, Forces, Dipole Moments, and Partial Charges

1. Structure to Property: Chemical Element Embeddings for Predicting Electronic Properties of Crystals

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   СтатьяMachine Learning in Materials ScienceJournal of Chemical Information and Modeling2024Цитирований: 1

   ABIABI:AkademIndex/openalex/2024.article.001016

2. Accurate classification of materials with elEmBERT: Element embeddings for chemical benchmarks

   Shokirbek Shermukhamedov, Dilorom Mamurjonova, Michael Probst

   СтатьяMachine Learning in Materials ScienceAPL Machine Learning2025Цитирований: 0

   ABIABI:AkademIndex/openalex/2025.article.002993