Autonomous discovery of battery electrolytes with robotic experimentation and machine-learning

Cell Reports Physical Science (Cell Rep. Phys. Sci.), 2019

22 October 2019

Adarsh Dave

Jared M. Mitchell

Kirthevasan Kandasamy

Papers citing "Autonomous discovery of battery electrolytes with robotic experimentation and machine-learning"

9 / 9 papers shown

Differentiable Modeling and Optimization of Battery Electrolyte Mixtures Using Geometric Deep Learning

425

03 Oct 2023

Predicting Battery Lifetime Under Varying Usage Conditions from Early Aging DataCell Reports Physical Science (Cell Rep Phys Sci), 2023

323

17 Jul 2023

NIMS-OS: An automation software to implement a closed loop between artificial intelligence and robotic experiments in materials science

Ryo Tamura

Koji Tsuda

Shoichi Matsuda

118

27 Apr 2023

Multivariate Prediction Intervals for Random Forests

Brendan Folie

Maxwell Hutchinson

627

04 May 2022

Bayesian optimization with known experimental and design constraints for chemistry applicationsDigital Discovery (DD), 2022

300

29 Mar 2022

A Machine Learning Method for Material Property Prediction: Example Polymer CompatibilitySocial Science Research Network (SSRN), 2022

131

28 Feb 2022

Autonomous optimization of nonaqueous battery electrolytes via robotic experimentation and machine learningNature Communications (Nat Commun), 2021

204

133

23 Nov 2021

PAC Best Arm Identification Under a Deadline

Brijen Thananjeyan

Kirthevasan Kandasamy

221

06 Jun 2021

AutoMat: Accelerated Computational Electrochemical systems Discovery

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431

03 Nov 2020