Работы, цитирующие эту работу

Работ: 4

Работа: Machine Learning for Catalysis Informatics: Recent Applications and Prospects

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

   Shokirbek Shermukhamedov, Dilorom Mamurjonova, Thana Maihom +1

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

   ABIABI:AkademIndex/openalex/2024.article.001016

2. Structure to Property: Machine Learning Methods for Predicting Electronic Properties of Crystals

   Shokirbek Shermukhamedov, Dilorom Mamurjonova, Thana Maihom +1

   ПрепринтMachine Learning in Materials ScienceChemRxiv2023Цитирований: 0

   ABIABI:AkademIndex/openalex/2023.preprint.000024

3. 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

4. Accelerating single-atom ORR catalyst discovery through theory and machine learning: a critical review

   Anuj Kumar, Parth Bishnoi, Akshay Parmar +3

   СтатьяElectrocatalysts for Energy ConversionCoordination Chemistry Reviews2026Цитирований: 0

   ABIABI:AkademIndex/openalex/2026.article.008119