Data-driven methods to predict the stability metrics of catalytic nanoparticles
A prevailing challenge in computational catalyst design is to discover nanostructures which are thermodynamically stable and synthesizable in practice. Important metrics for the stability of nanostructures include the chemical potential of supported nanoparticles, cohesive energies of nanoparticles,...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
2023
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/165170 |