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Formulation Graphs for Mapping Structure-Composition of Battery
  Electrolytes to Device Performance

Formulation Graphs for Mapping Structure-Composition of Battery Electrolytes to Device Performance

7 July 2023
Vidushi Sharma
Maxwell J. Giammona
Dmitry Zubarev
Andy Tek
Khanh Nugyuen
Linda Sundberg
D. Congiu
Young-Hye La
ArXivPDFHTML

Papers citing "Formulation Graphs for Mapping Structure-Composition of Battery Electrolytes to Device Performance"

5 / 5 papers shown
Title
Improving Electrolyte Performance for Target Cathode Loading Using
  Interpretable Data-Driven Approach
Improving Electrolyte Performance for Target Cathode Loading Using Interpretable Data-Driven Approach
Vidushi Sharma
Andy Tek
Khanh Nguyen
Max Giammona
Murtaza Zohair
Linda Sundberg
Young-Hye La
26
2
0
03 Sep 2024
COEFF-KANs: A Paradigm to Address the Electrolyte Field with KANs
COEFF-KANs: A Paradigm to Address the Electrolyte Field with KANs
Xinhe Li
Zhuoying Feng
Yezeng Chen
Weichen Dai
Zixu He
Yi Zhou
Shuhong Jiao
36
8
0
24 Jul 2024
Improving Performance Prediction of Electrolyte Formulations with
  Transformer-based Molecular Representation Model
Improving Performance Prediction of Electrolyte Formulations with Transformer-based Molecular Representation Model
Indra Priyadarsini
Vidushi Sharma
Seiji Takeda
Akihiro Kishimoto
Lisa Hamada
Hajime Shinohara
27
5
0
28 Jun 2024
MolSets: Molecular Graph Deep Sets Learning for Mixture Property
  Modeling
MolSets: Molecular Graph Deep Sets Learning for Mixture Property Modeling
Hengrui Zhang
Jie Chen
J. Rondinelli
Wei-Neng Chen
19
3
0
27 Dec 2023
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
270
5,660
0
05 Dec 2016
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