Applying Classical, Ab Initio, and Machine-Learning Molecular Dynamics Simulations to the Liquid Electrolyte for Rechargeable Batteries
Rechargeable batteries have become indispensable implements in our daily life and are
considered a promising technology to construct sustainable energy systems in the future …
considered a promising technology to construct sustainable energy systems in the future …
In silico methods and tools for drug discovery
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 …
develop new drugs, but the process from lead identification to clinical trials takes more than …
Learning functional properties of proteins with language models
Data-centric approaches have been used to develop predictive methods for elucidating
uncharacterized properties of proteins; however, studies indicate that these methods should …
uncharacterized properties of proteins; however, studies indicate that these methods should …
Machine learning for electronically excited states of molecules
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 …
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
Luminescent small, all‐organic molecules are of tremendous interest in materials and life
science applications. Nevertheless, targeted design requires a basic understanding of the …
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 …
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
Optically active molecular materials, such as organic conjugated polymers and biological
systems, are characterized by strong coupling between electronic and vibrational degrees of …
systems, are characterized by strong coupling between electronic and vibrational degrees of …
Recon3D enables a three-dimensional view of gene variation in human metabolism
Genome-scale network reconstructions have helped uncover the molecular basis of
metabolism. Here we present Recon3D, a computational resource that includes three …
metabolism. Here we present Recon3D, a computational resource that includes three …
Recent advances and perspectives on nonadiabatic mixed quantum–classical dynamics
Nonadiabatic mixed quantum–classical (NA-MQC) dynamics methods form a class of
computational theoretical approaches in quantum chemistry tailored to investigate the time …
computational theoretical approaches in quantum chemistry tailored to investigate the time …
Ab initio nonadiabatic quantum molecular dynamics
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 …
the framework defining the potential energy surfaces that are used for much of our pictorial …