Learning scheme to predict atomic forces and accelerate materials simulations
Published 2015 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Learning scheme to predict atomic forces and accelerate materials simulations
Authors
Keywords
-
Journal
PHYSICAL REVIEW B
Volume 92, Issue 9, Pages -
Publisher
American Physical Society (APS)
Online
2015-09-26
DOI
10.1103/physrevb.92.094306
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Molecular Dynamics with On-the-Fly Machine Learning of Quantum-Mechanical Forces
- (2015) Zhenwei Li et al. PHYSICAL REVIEW LETTERS
- Big Data of Materials Science: Critical Role of the Descriptor
- (2015) Luca M. Ghiringhelli et al. PHYSICAL REVIEW LETTERS
- Adaptive machine learning framework to accelerateab initiomolecular dynamics
- (2014) Venkatesh Botu et al. INTERNATIONAL JOURNAL OF QUANTUM CHEMISTRY
- Proposed definition of crystal substructure and substructural similarity
- (2014) Lusann Yang et al. PHYSICAL REVIEW B
- Big data and the future of ecology
- (2013) Stephanie E Hampton et al. FRONTIERS IN ECOLOGY AND THE ENVIRONMENT
- Assessment and Validation of Machine Learning Methods for Predicting Molecular Atomization Energies
- (2013) Katja Hansen et al. Journal of Chemical Theory and Computation
- On representing chemical environments
- (2013) Albert P. Bartók et al. PHYSICAL REVIEW B
- Big Data: The Next Big Thing in Innovation
- (2013) MaryAnne M. Gobble RESEARCH-TECHNOLOGY MANAGEMENT
- Accelerating materials property predictions using machine learning
- (2013) Ghanshyam Pilania et al. Scientific Reports
- Fast and Accurate Modeling of Molecular Atomization Energies with Machine Learning
- (2012) Matthias Rupp et al. PHYSICAL REVIEW LETTERS
- Social Media and the Elections
- (2012) P. T. Metaxas et al. SCIENCE
- Atom-centered symmetry functions for constructing high-dimensional neural network potentials
- (2011) Jörg Behler JOURNAL OF CHEMICAL PHYSICS
- Neural network potential-energy surfaces in chemistry: a tool for large-scale simulations
- (2011) Jörg Behler PHYSICAL CHEMISTRY CHEMICAL PHYSICS
- Gaussian Approximation Potentials: The Accuracy of Quantum Mechanics, without the Electrons
- (2010) Albert P. Bartók et al. PHYSICAL REVIEW LETTERS
- PHON: A program to calculate phonons using the small displacement method
- (2009) Dario Alfè COMPUTER PHYSICS COMMUNICATIONS
- Detecting influenza epidemics using search engine query data
- (2008) Jeremy Ginsberg et al. NATURE
Add your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload NowAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started