Работы, цитирующие эту работу

Работ: 4

Работа: Predicting the state of charge and health of batteries using data-driven machine learning

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. Data-driven prediction of oil well production rates using reservoir fluid and electrical submersible pump parameters

   Zan Li, Barno Abdullaeva, Amit Ved +11

   СтатьяOil and Gas Production TechniquesPhysics and Chemistry of the Earth Parts A/B/C2026Цитирований: 0

   ABIABI:AkademIndex/openalex/2026.article.006898