[HTML][HTML] A computational protocol combining DFT and cheminformatics for prediction of pH-dependent redox potentials

RP Fornari, P de Silva - Molecules, 2021 - mdpi.com
Discovering new materials for energy storage requires reliable and efficient protocols for
predicting key properties of unknown compounds. In the context of the search for new …

Experimental validation of a computational screening approach to predict redox potentials for a diverse variety of redox-active organic molecules

AR McNeill, SE Bodman, AM Burney… - The Journal of …, 2020 - ACS Publications
Organic redox flow batteries are currently the focus of intense scientific interest because they
have the potential to be developed into low-cost, environmentally sustainable solutions to …

Bio-inspired Electroactive organic molecules for aqueous redox flow batteries. 1. Thiophenoquinones

SD Pineda Flores, GC Martin-Noble… - The Journal of …, 2015 - ACS Publications
Redox flow batteries (RFB) utilizing water-soluble organic redox couples are a new strategy
for low-cost, eco-friendly, and durable stationary electrical energy storage. Previous studies …

Accelerating electrolyte discovery for energy storage with high-throughput screening

L Cheng, RS Assary, X Qu, A Jain, SP Ong… - The journal of …, 2015 - ACS Publications
Computational screening techniques have been found to be an effective alternative to the
trial and error of experimentation for discovery of new materials. With increased interest in …

Redox potentials with COSMO-RS: Systematic benchmarking with different databases

L Tomanik, L Rulisek, P Slavicek - Journal of Chemical Theory …, 2023 - ACS Publications
Recent techniques of computational electrochemistry can yield redox potentials with
accuracy as good as 0.1 V. Yet, many such methods are not universal, easy to use, or …

Accelerating Computation of Acidity Constants and Redox Potentials for Aqueous Organic Redox Flow Batteries by Machine Learning Potential-Based Molecular …

F Wang, Z Ma, J Cheng - Journal of the American Chemical …, 2024 - ACS Publications
Due to the increased concern about energy and environmental issues, significant attention
has been paid to the development of large-scale energy storage devices to facilitate the …

[HTML][HTML] Density functional theory and machine learning for electrochemical square-scheme prediction: an application to quinone-type molecules relevant to redox …

A Hashemi, R Khakpour, A Mahdian, M Busch… - Digital …, 2023 - pubs.rsc.org
Proton–electron transfer (PET) reactions are rather common in chemistry and crucial in
energy storage applications. How electrons and protons are involved or which mechanism …

Rapid prescreening of organic compounds for redox flow batteries: A graph convolutional network for predicting reaction enthalpies from SMILES

J Barker, LS Berg, J Hamaekers… - Batteries & …, 2021 - Wiley Online Library
Identifying interesting redox‐active couples from the vastness of organic chemical space
requires rapid screening techniques. A good initial indicator for couples worthy of further …

[HTML][HTML] Comparison of computational chemistry methods for the discovery of quinone-based electroactive compounds for energy storage

Q Zhang, A Khetan, S Er - Scientific Reports, 2020 - nature.com
High-throughput computational screening (HTCS) is a powerful approach for the rational
and time-efficient design of electroactive compounds. The effectiveness of HTCS is …

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 …