4.3 Article

Solving the electronic Schrodinger equation for multiple nuclear geometries with weight-sharing deep neural networks

Related references

Note: Only part of the references are listed.
Review Chemistry, Multidisciplinary

Machine Learning for Electronically Excited States of Molecules

Julia Westermayr et al.

Summary: This review focuses on how machine learning is used to speed up excited-state simulations and advance the research field. Applications of machine learning for excited states include excited-state dynamics simulations, static calculations of absorption spectra, and others.

CHEMICAL REVIEWS (2021)

Review Chemistry, Multidisciplinary

Machine Learning Force Fields

Oliver T. Unke et al.

Summary: The use of machine learning in computational chemistry has led to significant advancements, particularly in the development of machine learning-based force fields to bridge the gap between accuracy and efficiency. The key concept is to learn the statistical relations between chemical structure and potential energy, without preconceived notions of fixed bonds. Challenges remain for the next generation of machine learning force fields.

CHEMICAL REVIEWS (2021)

Article Multidisciplinary Sciences

Pushing the frontiers of density functionals by solving the fractional electron problem

James Kirkpatrick et al.

Summary: Density functional theory has long been plagued by systematic errors in approximations, but a new neural network-based functional, DM21, shows promise in accurately describing complex systems and outperforming traditional functionals in benchmarks. By relying on data and constraints, DM21 represents a viable pathway toward the exact universal functional.

SCIENCE (2021)

Review Chemistry, Multidisciplinary

Four Generations of High-Dimensional Neural Network Potentials

Joerg Behler

Summary: Machine learning potentials have become an important tool in atomistic simulations over the past 25 years. The development of high-dimensional neural network potentials (HDNNPs) has allowed for the simulation of large systems with thousands of atoms, with continuous advancements leading to the emergence of fourth-generation HDNNPs. Despite some limitations, the future outlook for HDNNPs is promising with potential for further developments.

CHEMICAL REVIEWS (2021)

Article Chemistry, Physical

Analytic Gradients of Approximate Coupled Cluster Methods with Quadruple Excitations

Devin A. Matthews

JOURNAL OF CHEMICAL THEORY AND COMPUTATION (2020)

Article Chemistry, Multidisciplinary

Deep-neural-network solution of the electronic Schrodinger equation

Jan Hermann et al.

NATURE CHEMISTRY (2020)

Article Multidisciplinary Sciences

Quantum chemical accuracy from density functional approximations via machine learning

Mihail Bogojeski et al.

NATURE COMMUNICATIONS (2020)

Article Physics, Multidisciplinary

Ab initio solution of the many-electron Schrodinger equation with deep neural networks

David Pfau et al.

PHYSICAL REVIEW RESEARCH (2020)

Article Computer Science, Artificial Intelligence

Machine learning for the solution of the Schrodinger equation

Sergei Manzhos

MACHINE LEARNING-SCIENCE AND TECHNOLOGY (2020)

Article Multidisciplinary Sciences

Unifying machine learning and quantum chemistry with a deep neural network for molecular wavefunctions

K. T. Schuett et al.

NATURE COMMUNICATIONS (2019)

Article Computer Science, Interdisciplinary Applications

Solving many-electron Schrodinger equation using deep neural networks

Jiequn Han et al.

JOURNAL OF COMPUTATIONAL PHYSICS (2019)

Article Chemistry, Multidisciplinary

PYSCF: the Python-based simulations of chemistry framework

Qiming Sun et al.

WILEY INTERDISCIPLINARY REVIEWS-COMPUTATIONAL MOLECULAR SCIENCE (2018)

Article Chemistry, Physical

Prediction Errors of Molecular Machine Learning Models Lower than Hybrid DFT Error

Felix A. Faber et al.

JOURNAL OF CHEMICAL THEORY AND COMPUTATION (2017)

Review Chemistry, Multidisciplinary

Molpro: a general-purpose quantum chemistry program package

Hans-Joachim Werner et al.

WILEY INTERDISCIPLINARY REVIEWS-COMPUTATIONAL MOLECULAR SCIENCE (2012)

Article Chemistry, Physical

Explicitly correlated multireference configuration interaction: MRCI-F12

Toru Shiozaki et al.

JOURNAL OF CHEMICAL PHYSICS (2011)

Article Chemistry, Physical

H4+:: What do we know about it?

Alexander Alijah et al.

JOURNAL OF CHEMICAL PHYSICS (2008)

Article Chemistry, Physical

Systematically convergent basis sets for explicitly correlated wavefunctions: The atoms H, He, B-Ne, and Al-Ar

Kirk A. Peterson et al.

JOURNAL OF CHEMICAL PHYSICS (2008)

Article Chemistry, Physical

A simple and efficient CCSD(T)-F12 approximation

Thomas B. Adler et al.

JOURNAL OF CHEMICAL PHYSICS (2007)

Article Physics, Fluids & Plasmas

Inhomogeneous backflow transformations in quantum Monte Carlo calculations

P. Lopez Rios et al.

PHYSICAL REVIEW E (2006)

Article Chemistry, Physical

Scheme for adding electron-nucleus cusps to Gaussian orbitals

A Ma et al.

JOURNAL OF CHEMICAL PHYSICS (2005)

Article Physics, Multidisciplinary

Accurate, efficient, and simple forces computed with quantum Monte Carlo methods

S Chiesa et al.

PHYSICAL REVIEW LETTERS (2005)