Applying Classical, Ab Initio, and Machine-Learning Molecular Dynamics Simulations to the Liquid Electrolyte for Rechargeable Batteries

N Yao, X Chen, ZH Fu, Q Zhang - Chemical Reviews, 2022 - ACS Publications
Rechargeable batteries have become indispensable implements in our daily life and are
considered a promising technology to construct sustainable energy systems in the future …

In silico methods and tools for drug discovery

B Shaker, S Ahmad, J Lee, C Jung, D Na - Computers in biology and …, 2021 - Elsevier
In the past, conventional drug discovery strategies have been successfully employed to
develop new drugs, but the process from lead identification to clinical trials takes more than …

Learning functional properties of proteins with language models

S Unsal, H Atas, M Albayrak, K Turhan… - Nature Machine …, 2022 - nature.com
Data-centric approaches have been used to develop predictive methods for elucidating
uncharacterized properties of proteins; however, studies indicate that these methods should …

Machine learning for electronically excited states of molecules

J Westermayr, P Marquetand - Chemical Reviews, 2020 - ACS Publications
Electronically excited states of molecules are at the heart of photochemistry, photophysics,
as well as photobiology and also play a role in material science. Their theoretical description …

Luminescence in crystalline organic materials: from molecules to molecular solids

J Gierschner, J Shi, B Milián‐Medina… - Advanced Optical …, 2021 - Wiley Online Library
Luminescent small, all‐organic molecules are of tremendous interest in materials and life
science applications. Nevertheless, targeted design requires a basic understanding of the …

Homogeneously catalyzed electroreduction of carbon dioxide—methods, mechanisms, and catalysts

R Francke, B Schille, M Roemelt - Chemical reviews, 2018 - ACS Publications
The utilization of CO2 via electrochemical reduction constitutes a promising approach
toward production of value-added chemicals or fuels using intermittent renewable energy …

Non-adiabatic excited-state molecular dynamics: Theory and applications for modeling photophysics in extended molecular materials

TR Nelson, AJ White, JA Bjorgaard, AE Sifain… - Chemical …, 2020 - ACS Publications
Optically active molecular materials, such as organic conjugated polymers and biological
systems, are characterized by strong coupling between electronic and vibrational degrees of …

Recon3D enables a three-dimensional view of gene variation in human metabolism

E Brunk, S Sahoo, DC Zielinski, A Altunkaya… - Nature …, 2018 - nature.com
Genome-scale network reconstructions have helped uncover the molecular basis of
metabolism. Here we present Recon3D, a computational resource that includes three …

Recent advances and perspectives on nonadiabatic mixed quantum–classical dynamics

R Crespo-Otero, M Barbatti - Chemical reviews, 2018 - ACS Publications
Nonadiabatic mixed quantum–classical (NA-MQC) dynamics methods form a class of
computational theoretical approaches in quantum chemistry tailored to investigate the time …

Ab initio nonadiabatic quantum molecular dynamics

BFE Curchod, TJ Martínez - Chemical reviews, 2018 - ACS Publications
The Born–Oppenheimer approximation underlies much of chemical simulation and provides
the framework defining the potential energy surfaces that are used for much of our pictorial …