Environmental Stability of Crystals: A Greedy Screening
Source abstract
Abstract
Discovering materials that are environmentally stable and also exhibit the necessary collection of properties required for a particular application is a perennial challenge in materials science. Herein, we present an algorithm to rapidly screen materials for their thermodynamic stability in a given environment, using a greedy approach. The performance was tested against the standard energy above the hull stability metric for inert conditions. Using data of 126 320 crystals, the greedy algorithm was shown to estimate the driving force for decomposition with a mean absolute error of 39.5 meV/atom, giving it sufficient resolution to identify stable materials. To demonstrate the utility outside of a vacuum, the in-oxygen stability of 39 654 materials was tested. The enthalpy of oxidation was found to be largely exothermic. Further analysis showed that 1438 of these materials fall into the range required for self-passivation based on the Pilling-Bedworth ratio.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Machine Learning in Materials Science · Electronic and Structural Properties of Oxides · Nuclear Materials and Properties
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Materials, Imperial College London, London SW7 2AZ, United Kingdom
Photovaltaic Research Laboratory, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, United States
Department of Materials Science and Engineering, Yonsei University, Seoul 03722, Korea
Singapore-MIT Alliance for Research and Technology, Singapore 138602, Singapore
Funding
Massachusetts Institute of Technology · National Research Foundation Singapore
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