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Aashutosh Mistry

Showing results (1-10 of 12) with videos related to

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Nature|June 24, 2021
Ion dynamics in battery materials imaged rapidlyAashutosh Mistry
Patterns (New York, N.Y.)|December 26, 2022
Machine learning accelerates identification of lithiated phases in X-ray images of battery hostsAashutosh Mistry, Venkat Srinivasan
ACS Applied Materials & Interfaces|March 14, 2020
Stochasticity at Scales Leads to Lithium Intercalation CascadeAashutosh Mistry, Kandler Smith, Partha P Mukherjee
ACS Applied Materials & Interfaces|July 9, 2019
Controllable Electrode Stochasticity Self-Heats Lithium-Ion Batteries at Low TemperaturesAashutosh Mistry, Ankit Verma, Partha P Mukherjee
JACS Au|March 6, 2023
Elucidating the Molecular Origins of the Transference Number in Battery Electrolytes Using Computer SimulationsChao Fang, Aashutosh Mistry, Venkat Srinivasan, et al.
Physical Chemistry Chemical Physics : PCCP|December 22, 2023
How machine learning can extend electroanalytical measurements beyond analytical interpretationAashutosh Mistry, Ian D Johnson, Jordi Cabana, et al.
ACS Energy Letters|April 19, 2021
How Machine Learning Will Revolutionize Electrochemical SciencesAashutosh Mistry, Alejandro A Franco, Samuel J Cooper, et al.
MRS Bulletin|March 1, 2023
Sustainability concerns influence studies reported at the 2022 MRS Fall Meeting & Exhibit: mrs.org/fall2022Judy Meiksin, Henry Quansah Afful, Mohamed Atwa, et al.
Chemical Science|May 26, 2023
Quantifying selective solvent transport under an electric field in mixed-solvent electrolytesChao Fang, David M Halat, Aashutosh Mistry, et al.
Physical Review Letters|May 27, 2022
Electric-Field-Induced Spatially Dynamic Heterogeneity of Solvent Motion and Cation Transference in ElectrolytesDavid M Halat, Chao Fang, Darby Hickson, et al.
Pageof 2

Showing results (1-10 of 12) with videos related to

Sort By:
Pageof 2
Nature|June 24, 2021
Ion dynamics in battery materials imaged rapidlyAashutosh Mistry
Patterns (New York, N.Y.)|December 26, 2022
Machine learning accelerates identification of lithiated phases in X-ray images of battery hostsAashutosh Mistry, Venkat Srinivasan
ACS Applied Materials & Interfaces|March 14, 2020
Stochasticity at Scales Leads to Lithium Intercalation CascadeAashutosh Mistry, Kandler Smith, Partha P Mukherjee
ACS Applied Materials & Interfaces|July 9, 2019
Controllable Electrode Stochasticity Self-Heats Lithium-Ion Batteries at Low TemperaturesAashutosh Mistry, Ankit Verma, Partha P Mukherjee
JACS Au|March 6, 2023
Elucidating the Molecular Origins of the Transference Number in Battery Electrolytes Using Computer SimulationsChao Fang, Aashutosh Mistry, Venkat Srinivasan, et al.
Physical Chemistry Chemical Physics : PCCP|December 22, 2023
How machine learning can extend electroanalytical measurements beyond analytical interpretationAashutosh Mistry, Ian D Johnson, Jordi Cabana, et al.
ACS Energy Letters|April 19, 2021
How Machine Learning Will Revolutionize Electrochemical SciencesAashutosh Mistry, Alejandro A Franco, Samuel J Cooper, et al.
MRS Bulletin|March 1, 2023
Sustainability concerns influence studies reported at the 2022 MRS Fall Meeting & Exhibit: mrs.org/fall2022Judy Meiksin, Henry Quansah Afful, Mohamed Atwa, et al.
Chemical Science|May 26, 2023
Quantifying selective solvent transport under an electric field in mixed-solvent electrolytesChao Fang, David M Halat, Aashutosh Mistry, et al.
Physical Review Letters|May 27, 2022
Electric-Field-Induced Spatially Dynamic Heterogeneity of Solvent Motion and Cation Transference in ElectrolytesDavid M Halat, Chao Fang, Darby Hickson, et al.
Pageof 2