April 22 - 26, 2024
Seattle, Washington
May 7 - 9, 2024 (Virtual)
Symposium Supporters
2024 MRS Spring Meeting
MT03.01.04

Development of a High-Throughput Electrochemical Device for Data-Driven Electrolyte Materials Discovery

When and Where

Apr 23, 2024
11:45am - 12:00pm
Room 322, Level 3, Summit

Presenter(s)

Co-Author(s)

Yangang Liang1

Pacific Northwest National Laboratory1

Abstract

Yangang Liang1

Pacific Northwest National Laboratory1
Data-driven research in the field of electrolyte discovery for energy storage applications is growing rapidly. However, current characterization techniques struggle to analyze large numbers of samples accurately and efficiently. To address these limitations, we propose an innovative electrochemical measurement system to integrate with robotic platforms. This high-throughput system provides highly reliable and repeatable conductivity measurements, facilitating fast screening of battery materials and establishing materials-electrochemical property relationships. Our research contributes to advancing electrolyte materials for energy storage and demonstrates the potential of high-throughput characterization technologies in accelerating materials discovery.

Keywords

autonomous research | combinatorial

Symposium Organizers

Keith Butler, University College London
Kedar Hippalgaonkar, Nanyang Technological University
Shijing Sun, University of Washington
Jie Xu, Argonne National Laboratory

Symposium Support

Bronze
APL Machine Learning
SCIPRIOS GmbH

Session Chairs

Chibueze Amanchukwu
Jie Xu

In this Session