Cargando…
Neural network potentials for chemistry: concepts, applications and prospects
Artificial Neural Networks (NN) are already heavily involved in methods and applications for frequent tasks in the field of computational chemistry such as representation of potential energy surfaces (PES) and spectroscopic predictions. This perspective provides an overview of the foundations of neu...
Autores principales: | Käser, Silvan, Vazquez-Salazar, Luis Itza, Meuwly, Markus, Töpfer, Kai |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
RSC
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9923808/ https://www.ncbi.nlm.nih.gov/pubmed/36798879 http://dx.doi.org/10.1039/d2dd00102k |
Ejemplares similares
-
Double proton transfer in hydrated formic acid dimer: Interplay of spatial symmetry and solvent-generated force on reactivity
por: Töpfer, Kai, et al.
Publicado: (2022) -
Uncertainty quantification for predictions of atomistic neural networks
por: Vazquez-Salazar, Luis Itza, et al.
Publicado: (2022) -
Transfer learned potential energy surfaces: accurate anharmonic vibrational dynamics and dissociation energies for the formic acid monomer and dimer
por: Käser, Silvan, et al.
Publicado: (2021) -
Correction: Transfer learned potential energy surfaces: accurate anharmonic vibrational dynamics and dissociation energies for the formic acid monomer and dimer
por: Käser, Silvan, et al.
Publicado: (2022) -
Hydration dynamics and IR spectroscopy of 4-fluorophenol
por: Salehi, Seyedeh Maryam, et al.
Publicado: (2022)