Genetic algorithms for computational materials discovery accelerated by machine learning
Published 2019 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Genetic algorithms for computational materials discovery accelerated by machine learning
Authors
Keywords
-
Journal
npj Computational Materials
Volume 5, Issue 1, Pages -
Publisher
Springer Nature
Online
2019-04-10
DOI
10.1038/s41524-019-0181-4
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Exploration versus Exploitation in Global Atomistic Structure Optimization
- (2018) Mathias S. Jørgensen et al. JOURNAL OF PHYSICAL CHEMISTRY A
- SchNetPack: A Deep Learning Toolbox For Atomistic Systems
- (2018) K. T. Schütt et al. Journal of Chemical Theory and Computation
- The atomic simulation environment—a Python library for working with atoms
- (2017) Ask Hjorth Larsen et al. JOURNAL OF PHYSICS-CONDENSED MATTER
- Neural-Network-Biased Genetic Algorithms for Materials Design: Evolutionary Algorithms That Learn
- (2017) Tarak K. Patra et al. ACS Combinatorial Science
- An implementation of artificial neural-network potentials for atomistic materials simulations: Performance for TiO 2
- (2016) Nongnuch Artrith et al. COMPUTATIONAL MATERIALS SCIENCE
- Amp : A modular approach to machine learning in atomistic simulations
- (2016) Alireza Khorshidi et al. COMPUTER PHYSICS COMMUNICATIONS
- Controlling Structural Transitions in AuAg Nanoparticles through Precise Compositional Design
- (2016) Anna L. Gould et al. Journal of Physical Chemistry Letters
- Optical absorption spectra and structures of Ag 6 + and Ag 8 +
- (2015) A. Shayeghi et al. EUROPEAN PHYSICAL JOURNAL D
- Big Data Meets Quantum Chemistry Approximations: The Δ-Machine Learning Approach
- (2015) Raghunathan Ramakrishnan et al. Journal of Chemical Theory and Computation
- The Birmingham parallel genetic algorithm and its application to the direct DFT global optimisation of IrN(N = 10–20) clusters
- (2015) Jack B. A. Davis et al. Nanoscale
- A DFT-based genetic algorithm search for AuCu nanoalloy electrocatalysts for CO2 reduction
- (2015) Steen Lysgaard et al. PHYSICAL CHEMISTRY CHEMICAL PHYSICS
- Symmetry breaking and morphological instabilities in core-shell metallic nanoparticles
- (2014) Riccardo Ferrando JOURNAL OF PHYSICS-CONDENSED MATTER
- A density functional global optimisation study of neutral 8-atom Cu-Ag and Cu-Au clusters
- (2013) Christopher J. Heard et al. EUROPEAN PHYSICAL JOURNAL D
- Global optimization of clusters using electronic structure methods
- (2013) Sven Heiles et al. INTERNATIONAL JOURNAL OF QUANTUM CHEMISTRY
- Interplay of Electronic Structure and Atomic Mobility in Nanoalloys of Au and Pt
- (2013) L. Leppert et al. Journal of Physical Chemistry C
- Genetic Algorithm Procreation Operators for Alloy Nanoparticle Catalysts
- (2013) Steen Lysgaard et al. TOPICS IN CATALYSIS
- Competition between structural motifs in gold–platinum nanoalloys
- (2013) D. Bochicchio et al. Computational and Theoretical Chemistry
- Structures of small Ti- and V-doped Pt clusters: A GA-DFT study
- (2013) P.C. Jennings et al. Computational and Theoretical Chemistry
- Octahedral PtNi Nanoparticle Catalysts: Exceptional Oxygen Reduction Activity by Tuning the Alloy Particle Surface Composition
- (2012) Chunhua Cui et al. NANO LETTERS
- Systematic Study ofAu6toAu12Gold Clusters on MgO(100)FCenters Using Density-Functional Theory
- (2012) Lasse B. Vilhelmsen et al. PHYSICAL REVIEW LETTERS
- Dopant-induced 2D–3D transition in small Au-containing clusters: DFT-global optimisation of 8-atom Au–Ag nanoalloys
- (2011) Sven Heiles et al. Nanoscale
- Steps on rutile TiO2(110): Active sites for water and methanol dissociation
- (2011) Umberto Martinez et al. PHYSICAL REVIEW B
- Electronic structure calculations with GPAW: a real-space implementation of the projector augmented-wave method
- (2010) J Enkovaara et al. JOURNAL OF PHYSICS-CONDENSED MATTER
- Optimizing core-shell nanoparticle catalysts with a genetic algorithm
- (2009) Nathan S. Froemming et al. JOURNAL OF CHEMICAL PHYSICS
- Influence of the composition of core–shell Au–Pt nanoparticle electrocatalysts for the oxygen reduction reaction
- (2009) Xiaowei Li et al. JOURNAL OF COLLOID AND INTERFACE SCIENCE
- Structures and Stabilities of Platinum–Gold Nanoclusters
- (2009) Andrew Logsdail et al. Journal of Computational and Theoretical Nanoscience
- Structural evolution of Pt–Au nanoalloys during heating process: comparison of random and core-shell orderings
- (2009) Zhen Yang et al. PHYSICAL CHEMISTRY CHEMICAL PHYSICS
- Localized atomic basis set in the projector augmented wave method
- (2009) A. H. Larsen et al. PHYSICAL REVIEW B
- Nanoalloys: From Theory to Applications of Alloy Clusters and Nanoparticles
- (2008) Riccardo Ferrando et al. CHEMICAL REVIEWS
- Structural motifs, mixing, and segregation effects in 38-atom binary clusters
- (2008) Lauro Oliver Paz-Borbón et al. JOURNAL OF CHEMICAL PHYSICS
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started