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 …
have the potential to be developed into low-cost, environmentally sustainable solutions to …
Effects of functional groups in redox-active organic molecules: a high-throughput screening approach
KM Pelzer, L Cheng, LA Curtiss - The Journal of Physical …, 2017 - ACS Publications
Nonaqueous redox flow batteries have attracted recent attention with their potential for high
electrochemical storage capacity, with organic electrolytes serving as solvents with a wide …
electrochemical storage capacity, with organic electrolytes serving as solvents with a wide …
Building and testing correlations for the estimation of one‐electron reduction potentials of a diverse set of organic molecules
DD Méndez‐Hernández, JG Gillmore… - Journal of Physical …, 2015 - Wiley Online Library
We describe and evaluate a method for computationally predicting reduction potentials of a
diverse group of organic molecules by linearly correlating calculated lowest unoccupied …
diverse group of organic molecules by linearly correlating calculated lowest unoccupied …
[HTML][HTML] 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 …
storage of renewable energy. Further development requires the improvement of the redox …
Accelerating electrolyte discovery for energy storage with high-throughput screening
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 …
trial and error of experimentation for discovery of new materials. With increased interest in …
[HTML][HTML] Experimental and calculated electrochemical potentials of common organic molecules for applications to single-electron redox chemistry
HG Roth, NA Romero, DA Nicewicz - Synlett, 2016 - thieme-connect.com
Herein, we report half-peak potentials for over 180 organic substrates obtained via cyclic
voltammetry. These values are of great use in assessing the thermodynamics of an electron …
voltammetry. These values are of great use in assessing the thermodynamics of an electron …
Computing redox potentials in solution: Density functional theory as a tool for rational design of redox agents
MH Baik, RA Friesner - The Journal of Physical Chemistry A, 2002 - ACS Publications
High-level density functional theory in combination with a continuum solvation model was
employed to compute standard redox potentials in solution phase for three different classes …
employed to compute standard redox potentials in solution phase for three different classes …
Accelerating Computation of Acidity Constants and Redox Potentials for Aqueous Organic Redox Flow Batteries by Machine Learning Potential-Based Molecular …
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 …
has been paid to the development of large-scale energy storage devices to facilitate the …
[HTML][HTML] RedDB, a computational database of electroactive molecules for aqueous redox flow batteries
An increasing number of electroactive compounds have recently been explored for their use
in high-performance redox flow batteries for grid-scale energy storage. Given the vast and …
in high-performance redox flow batteries for grid-scale energy storage. Given the vast and …
Bridging the experiment-calculation divide: Machine learning corrections to redox potential calculations in implicit and explicit solvent models
Prediction of redox potentials is essential for catalysis and energy storage. Although density
functional theory (DFT) calculations have enabled rapid redox potential predictions for …
functional theory (DFT) calculations have enabled rapid redox potential predictions for …
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