Going beyond High Throughput Screening towards AI in Accelerated Electrolyte DiscoveryVidushi SharmaMaxwell Giammonaet al.2022MRS Fall Meeting 2022
Surface reaction calculations with quantum computers for battery materialsMarco Antonio Guimaraes Auad BarrocaRodrigo Neumann Barros Ferreiraet al.2024ACS Fall 2024
Predictive Supremacy of Chemical Foundational Model for Battery ElectrolytesVidushi SharmaEduardo Almeida Soareset al.2023MRS Fall Meeting 2023
Understanding the role of mass transport and lithium interphase design in enabling conversion batteriesMurtaza ZohairMaxwell Giammonaet al.2023ACS Fall 2023
AI-directed discovery of high entropy electrolyte formulations for batteries using interhalogen cathodes and lithium metal anodesMaxwell GiammonaVidushi Sharmaet al.2023ACS Fall 2023
Accelerated Electrolyte Discovery using Data Driven ApproachVidushi SharmaMaxwell Giammonaet al.2023ACS Fall 2023
Improving Performance Prediction of Electrolyte Formulations with Transformer-based Molecular Representation ModelIndra Priyadarsini SVidushi Sharmaet al.2024ICML 2024
Capturing Formulation Design of Battery Electrolytes with Chemical Large Language ModelEduardo Almeida SoaresVidushi Sharmaet al.2023NeurIPS 2023
Transfer Learning Enabled Deep Learning Model for the Prediction of Battery Performance from Electrolyte FormulationsVidushi SharmaMaxwell Giammonaet al.2022ECS Meeting 2022
Improving Performance Prediction of Electrolyte Formulations with Transformer-based Molecular Representation ModelIndra Priyadarsini SVidushi Sharmaet al.2024arXiv