Machine learning for flow batteries: opportunities and challenges

T Li, C Zhang, X Li - Chemical Science, 2022 - pubs.rsc.org
With increased computational ability of modern computers, the rapid development of
mathematical algorithms and the continuous establishment of material databases, artificial …

Unlocking the potential: Predicting redox behavior of organic molecules, from linear fits to neural networks

R Fedorov, G Gryn'ova - Journal of Chemical Theory and …, 2023 - ACS Publications
Redox-active organic molecules, ie, molecules that can relatively easily accept and/or
donate electrons, are ubiquitous in biology, chemical synthesis, and electronic and …

Quinones for Aqueous Organic Redox Flow Battery: A Prospective on Redox Potential, Solubility, and Stability

F Hasan, V Mahanta… - Advanced Materials …, 2023 - Wiley Online Library
In recent years, there has been considerable interest in the potential of quinones as a
promising category of electroactive species for use in aqueous organic redox flow batteries …

Static theoretical investigations of organic redox active materials for redox flow batteries

A Zaichenko, AJ Achazi, S Kunz, HA Wegner… - Progress in …, 2023 - iopscience.iop.org
New efficient redox flow batteries (RFBs) are currently of great interest for large-scale
storage of renewable energy. Further development requires the improvement of the redox …

Choice of the Right Supporting Electrolyte in Electrochemical Reductions: A Principal Component Analysis

F Mast, MM Hielscher, T Wirtanen… - Journal of the …, 2024 - ACS Publications
We present an analysis of a set of molecular, electrical, and electronic properties for a large
number of the cations of quaternary ammonium salts usually employed as supporting …

Autonomous data extraction from peer reviewed literature for training machine learning models of oxidation potentials

S Lee, S Heinen, D Khan… - … Learning: Science and …, 2024 - iopscience.iop.org
We present an automated data-collection pipeline involving a convolutional neural network
and a large language model to extract user-specified tabular data from peer-reviewed …

[HTML][HTML] DFT calculation, a practical tool to predict the electrochemical behaviour of organic electrolytes in aqueous redox flow batteries

J Asenjo-Pascual, I Salmeron-Sanchez… - Journal of Power …, 2023 - Elsevier
Herein, a computational predictive tool for redox flow batteries based on NBO and ADCH
charge distribution studies is presented and supported by experimental evidence. Using …

N‐Alkylated Pyridoxal Derivatives as Negative Electrolyte Materials for Aqueous Organic Flow Batteries: Computational Screening

A Hamza, FB Németh, Á Madarász… - … A European Journal, 2023 - Wiley Online Library
N‐functionalized pyridinium frameworks derived from the three major vitamers of vitamin B6,
pyridoxal, pyridoxamine and pyridoxine, have been screened computationally for …

Predicting redox potentials by graph‐based machine learning methods

L Jia, É Brémond, L Zaida, B Gaüzere… - Journal of …, 2024 - Wiley Online Library
The evaluation of oxidation and reduction potentials is a pivotal task in various chemical
fields. However, their accurate prediction by theoretical computations, which is a …

AI for organic and polymer synthesis

X Hong, Q Yang, K Liao, J Pei, M Chen, F Mo… - Science China …, 2024 - Springer
Recent years have witnessed the transformative impact from the integration of artificial
intelligence with organic and polymer synthesis. This synergy offers innovative and …