| DOI | Resolve DOI: https://doi.org/10.1039/D2CP02585J |
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| Author | Search for: Lourenço, Maicon PierreORCID identifier: https://orcid.org/0000-0002-0110-8318; Search for: Herrera, Lizandra Barrios; Search for: Hostaš, JiříORCID identifier: https://orcid.org/0000-0001-6652-602X; Search for: Calaminici, PatriziaORCID identifier: https://orcid.org/0000-0001-9842-4271; Search for: Köster, Andreas M.ORCID identifier: https://orcid.org/0000-0001-9279-3455; Search for: Tchagang, Alain1; Search for: Salahub, Dennis R.ORCID identifier: https://orcid.org/0000-0002-9848-3762 |
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| Affiliation | - National Research Council of Canada. Digital Technologies
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| Funder | Search for: Fundação de Amparo à Pesquisa e Inovação do Espírito Santo; Search for: Conselho Nacional de Desenvolvimento Científico e Tecnológico; Search for: Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Search for: Consejo Nacional de Ciencia y Tecnología; Search for: National Research Council Canada; Search for: Natural Sciences and Engineering Research Council of Canada |
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| Format | Text, Article |
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| Abstract | The artificial intelligence method based on active learning for the automatic structural elucidation of vacancies in materials. This is implemented in the quantum machine learning software/agent for material design and discovery (QMLMaterial). |
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| Publication date | 2022-10-04 |
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| Publisher | Royal Society of Chemistry |
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| Licence | |
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| In | |
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| Language | English |
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| Peer reviewed | Yes |
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| Export citation | Export as RIS |
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| Report a correction | Report a correction (opens in a new tab) |
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| Record identifier | 8a13212d-507d-4fbe-bc62-26d8907a5d6b |
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| Record created | 2023-01-23 |
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| Record modified | 2025-11-03 |
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