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Artificial Intelligence based screening of materials for energy storage applications
2024 Trezza, Giovanni
Classification-Based Detection and Quantification of Cross-Domain Data Bias in Materials Discovery
2024 Trezza, Giovanni; Chiavazzo, Eliodoro
Learning Effective Good Variables from Physical Data
2024 Barletta, Giulio; Trezza, Giovanni; Chiavazzo, Eliodoro
Multi-Variable Multi-Metric Optimization of Self-Assembled Photocatalytic CO2 Reduction Performance Using Machine Learning Algorithms
2024 Bonke, Shannon A.; Trezza, Giovanni; Bergamasco, Luca; Song, Hongwei; Rodríguez-Jiménez, Santiago; Hammarström, Leif; Chiavazzo, Eliodoro; Reisner, Erwin
Optimizing MOF properties for seasonal heat storage: a machine learning approach
2024 Trezza, G; Bergamasco, L; Fasano, M; Chiavazzo, E
Leveraging composition-based energy material descriptors for machine learning models
2023 Trezza, Giovanni; Chiavazzo, Eliodoro
Minimal crystallographic descriptors of sorption properties in hypothetical MOFs and role in sequential learning optimization
2022 Trezza, Giovanni; Bergamasco, Luca; Fasano, Matteo; Chiavazzo, Eliodoro
| Citazione | Data di pubblicazione | Autori | File |
|---|---|---|---|
| Artificial Intelligence based screening of materials for energy storage applications / Trezza, Giovanni. - (2024 Oct 03), pp. 1-145. | 3-ott-2024 | TREZZA, GIOVANNI | Thesis_final.pdf; Abstract.pdf |
| Classification-Based Detection and Quantification of Cross-Domain Data Bias in Materials Discovery / Trezza, Giovanni; Chiavazzo, Eliodoro. - In: JOURNAL OF CHEMICAL INFORMATION AND MODELING. - ISSN 1549-9596. - (2024). [10.1021/acs.jcim.4c01766] | 1-gen-2024 | Trezza, GiovanniChiavazzo, Eliodoro | - |
| Learning Effective Good Variables from Physical Data / Barletta, Giulio; Trezza, Giovanni; Chiavazzo, Eliodoro. - In: MACHINE LEARNING AND KNOWLEDGE EXTRACTION. - ISSN 2504-4990. - ELETTRONICO. - 6:3(2024), pp. 1597-1618. [10.3390/make6030077] | 1-gen-2024 | Barletta, GiulioTrezza, GiovanniChiavazzo, Eliodoro | make-06-00077.pdf |
| Multi-Variable Multi-Metric Optimization of Self-Assembled Photocatalytic CO2 Reduction Performance Using Machine Learning Algorithms / Bonke, Shannon A.; Trezza, Giovanni; Bergamasco, Luca; Song, Hongwei; Rodríguez-Jiménez, Santiago; Hammarström, Leif; Chiavazzo, Eliodoro; Reisner, Erwin. - In: JOURNAL OF THE AMERICAN CHEMICAL SOCIETY. - ISSN 0002-7863. - 146:(2024). [10.1021/jacs.4c01305] | 1-gen-2024 | Trezza, GiovanniBergamasco, LucaChiavazzo, Eliodoro + | BonkeEtAl2024.pdf |
| Optimizing MOF properties for seasonal heat storage: a machine learning approach / Trezza, G; Bergamasco, L; Fasano, M; Chiavazzo, E. - In: JOURNAL OF PHYSICS. CONFERENCE SERIES. - ISSN 1742-6588. - 2766:(2024). (Intervento presentato al convegno Eurotherm 2024 tenutosi a Bled, Slovenia) [10.1088/1742-6596/2766/1/012219]. | 1-gen-2024 | Trezza, GBergamasco, LFasano, MChiavazzo, E | TrezzaEtAlIOP2024.pdf |
| Leveraging composition-based energy material descriptors for machine learning models / Trezza, Giovanni; Chiavazzo, Eliodoro. - In: MATERIALS TODAY COMMUNICATIONS. - ISSN 2352-4928. - 36:(2023), p. 106579. [10.1016/j.mtcomm.2023.106579] | 1-gen-2023 | Trezza, GiovanniChiavazzo, Eliodoro | MatodCommTrezzaetal.pdf |
| Minimal crystallographic descriptors of sorption properties in hypothetical MOFs and role in sequential learning optimization / Trezza, Giovanni; Bergamasco, Luca; Fasano, Matteo; Chiavazzo, Eliodoro. - In: NPJ COMPUTATIONAL MATERIALS. - ISSN 2057-3960. - ELETTRONICO. - 8:1(2022). [10.1038/s41524-022-00806-7] | 1-gen-2022 | Giovanni TrezzaLuca BergamascoMatteo FasanoEliodoro Chiavazzo | s41524-022-00806-7.pdf |