logo
ResearchBunny Logo
An integrated high-throughput robotic platform and active learning approach for accelerated discovery of optimal electrolyte formulations

Chemistry

An integrated high-throughput robotic platform and active learning approach for accelerated discovery of optimal electrolyte formulations

J. Noh, H. A. Doan, et al.

Discover the innovative workflow developed by Juran Noh and colleagues that combines high-throughput experimental techniques with intelligent algorithms to revolutionize electrolyte formulation for redox flow batteries. This groundbreaking research showcases the identification of solvents surpassing a 6.20 M solubility threshold, paving the way for more efficient energy storage solutions.

00:00
Playback language: English
Abstract
This study presents a highly automated workflow integrating a high-throughput experimental platform with an active learning algorithm to accelerate the discovery of optimal electrolyte formulations for redox flow batteries. The platform identified multiple solvents exceeding a 6.20 M solubility threshold for 2,1,3-benzothiadiazole, requiring solubility assessments for less than 10% of the 2000+ candidate solvents. Binary solvent mixtures, especially those with 1,4-dioxane, significantly boosted solubility.
Publisher
Nature Communications
Published On
Mar 29, 2024
Authors
Juran Noh, Hieu A. Doan, Heather Job, Lily A. Robertson, Lu Zhang, Rajeev S. Assary, Karl Mueller, Vijayakumar Murugesan, Yangang Liang
Tags
redox flow batteries
electrolyte formulation
high-throughput experimentation
solubility enhancement
active learning algorithms
solvent mixtures
energy storage

Related Publications

Explore these studies to deepen your understanding of the subject.

In Vitro Tumor Models on Chip and Integrated Microphysiological Analysis Platform (MAP) for Life Sciences and High-Throughput Drug Screening
Medicine and Health

In Vitro Tumor Models on Chip and Integrated Microphysiological Analysis Platform (MAP) for Life Sciences and High-Throughput Drug Screening

H. Ngo, S. Amartumur, et al.

Accelerating the discovery of active and selective CO2RR catalysts using a high-throughput virtual screening strategy
Chemistry

Accelerating the discovery of active and selective CO2RR catalysts using a high-throughput virtual screening strategy

D. H. Mok, H. Lee, et al.

Development and implementation of personal learning environment-based writing for publication scaffolding platform for Ph.D. Students
Education

Development and implementation of personal learning environment-based writing for publication scaffolding platform for Ph.D. Students

X. Xu, J. Liu, et al.

Towards an intelligent blended system of learning activities model for New Zealand institutions: an investigative approach
Education

Towards an intelligent blended system of learning activities model for New Zealand institutions: an investigative approach

A. Adel and J. Dayan

Listen, Learn & Level Up
Over 10,000 hours of research content in 25+ fields, available in 12+ languages.
No more digging through PDFs, just hit play and absorb the world's latest research in your language, on your time.
listen to research audio papers with researchbunny