Discovery of Energy Storage Molecular Materials Using Quantum Chemistry-Guided Multiobjective Bayesian Optimization-Reference-Cited by-同舟云学术

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Discovery of Energy Storage Molecular Materials Using Quantum Chemistry-Guided Multiobjective Bayesian Optimization

Published:2021-10-14 Issue:20 Volume:33 Page:8133-8144
ISSN:0897-4756
Container-title:Chemistry of Materials
language:en
Short-container-title:Chem. Mater.

Author:

Agarwal Garvit¹²^ORCID,Doan Hieu A.¹²,Robertson Lily A.¹³^ORCID,Zhang Lu¹³^ORCID,Assary Rajeev S.¹²^ORCID

Affiliation:

1. Joint Center for Energy Storage Research (JCESR), Lemont, Illinois 60439, United States

2. Materials Science Division, Argonne National Laboratory, Lemont, Illinois 60439, United States

3. Chemical Sciences and Engineering Division, Argonne National Laboratory, Lemont, Illinois 60439, United States

Funder

Basic Energy Sciences

Publisher

American Chemical Society (ACS)

Subject

Materials Chemistry,General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.chemmater.1c02040

Reference78 articles.

1. Energy storage emerging: A perspective from the Joint Center for Energy Storage Research

2. Review of electrical energy storage technologies, materials and systems: challenges and prospects for large-scale grid storage

3. A Sulfonate-Functionalized Viologen Enabling Neutral Cation Exchange, Aqueous Organic Redox Flow Batteries toward Renewable Energy Storage

4. PEGylation-Enabled Extended Cyclability of a Non-aqueous Redox Flow Battery

5. Bipolar Redox‐Active Molecules in Non‐Aqueous Organic Redox Flow Batteries: Status and Challenges

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