Machine Learning of Crystal Formation Energies with Novel Structural Descriptors
To assist technology advancements, it is important to continue the search for new materials. The stability of a crystal structures is closely connected to its formation energy. By calculating the formation energies of theoretical crystal structures it is possible to find new stable materials. Howeve...
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Format: | Others |
Language: | English |
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Linköpings universitet, Teoretisk Fysik
2017
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Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-143203 |