Origins of hole traps in hydrogenated nanocrystalline and amorphous silicon revealed through machine learning
Genetic programming is used to identify the structural features most strongly associated with hole traps in hydrogenated nanocrystalline silicon with very low crystalline volume fraction. The genetic programming algorithm reveals that hole traps are most strongly associated with local structures wit...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Article |
| Language: | en_US |
| Published: |
American Physical Society
2014
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| Online Access: | http://hdl.handle.net/1721.1/88769 https://orcid.org/0000-0003-1281-2359 |