about
Narayanaswamy's 1971 aging theory and material time.Metastable exohedrally decorated Borospherene B40.Recognizing molecular patterns by machine learning: an agnostic structural definition of the hydrogen bond.An intrinsic representation of atomic structure: From clusters to periodic systems.An efficient genetic algorithm for structure prediction at the nanoscale.The many-body expansion combined with neural networks.Permutation-invariant distance between atomic configurations.Stabilized quasi-Newton optimization of noisy potential energy surfaces.Geometrical eigen-subspace framework based molecular conformation representation for efficient structure recognition and comparison.An automated method to find transition states using chemical dynamics simulations.Computationally efficient characterization of potential energy surfaces based on fingerprint distances.Machine learning for the structure-energy-property landscapes of molecular crystals.Boron aggregation in the ground states of boron-carbon fullerenesRelation between the Dynamics of Glassy Clusters and Characteristic Features of their Energy Landscape
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description
im November 2013 veröffentlichter wissenschaftlicher Artikel
@de
scientific article published on 01 November 2013
@en
wetenschappelijk artikel
@nl
наукова стаття, опублікована в листопаді 2013
@uk
name
Metrics for measuring distances in configuration spaces
@en
Metrics for measuring distances in configuration spaces
@nl
type
label
Metrics for measuring distances in configuration spaces
@en
Metrics for measuring distances in configuration spaces
@nl
prefLabel
Metrics for measuring distances in configuration spaces
@en
Metrics for measuring distances in configuration spaces
@nl
P2093
P2860
P356
P1476
Metrics for measuring distances in configuration spaces
@en
P2093
Bastian Schaefer
Markus A Lill
S Alireza Ghasemi
Stefan Goedecker
P2860
P304
P356
10.1063/1.4828704
P407
P577
2013-11-01T00:00:00Z