Работы, цитирующие эту работу

Работ: 2

Работа: Fast and Accurate Modeling of Molecular Atomization Energies with Machine Learning

1. GrapheNet: a deep learning framework for predicting the physical and electronic properties of nanographenes using images

   Tommaso Forni, Matteo Baldoni, Fabio Le Piane +1

   СтатьяMachine Learning in Materials ScienceScientific Reports2024Цитирований: 0

   ABIABI:AkademIndex/openalex/2024.article.001036

2. Nanocomposite polymer electrolytes: fabrication strategies, characterization and future perspectives for sustainable energy

   Jasur Shodmanov, Sherzod Koraboyev, Azim Abdullaev +2

   СтатьяAdvanced Battery Materials and TechnologiesIranian Polymer Journal2026Цитирований: 0

   ABIABI:AkademIndex/openalex/2026.article.016264