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Crystal Structure Representation for Neural Networks using Topological Approach

Research output: Contribution to journal › Article › peer-review

General Chemistry Section

DOI

https://doi.org/10.1002/minf.201600162
Final published version

Aleksandr V. Fedorov
Ivan V. Shamanaev

Original language	English
Article number	1600162
Number of pages	7
Journal	Molecular Informatics
Volume	36
Issue number	8
DOIs	https://doi.org/10.1002/minf.201600162
Publication status	Published - Aug 2017

OECD FOS+WOS

Research areas

artificial neural network, entropy, lattice energy, molar heat capacity, ToposPro, GRAPH, DESIGN, LATTICE ENERGIES, PREDICTION, SPACE, MATERIALS INFORMATICS, SOLIDS, INORGANIC-COMPOUNDS, ENERGY ESTIMATION

ID: 10276210