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Leveraging quantum computing for heat conduction analysis: A case study in thermal engineering
2026 Asinari, Pietro; Piredda, Matteo Maria; Barletta, Giulio; De Angelis, Paolo; Alghamdi, Nada; Trezza, Giovanni; Provenzano, Marina; Fasano, Matteo; Chiavazzo, Eliodoro
Charting the Landscape of Bardeen-Cooper-Schrieffer Superconductors in Experimentally Known Compounds
2025 Bercx, Marnik; Poncé, Samuel; Zhang, Yiming; Trezza, Giovanni; Ghezeljehmeidan, Amir Ghorbani; Bastonero, Lorenzo; Qiao, Junfeng; Von Rohr, Fabian O.; Pizzi, Giovanni; Chiavazzo, Eliodoro; Marzari, Nicola
Classification-Based Detection and Quantification of Cross-Domain Data Bias in Materials Discovery
2025 Trezza, Giovanni; Chiavazzo, Eliodoro
Energy-GNoME: A living database of selected materials for energy applications
2025 De Angelis, Paolo; Barletta, Giulio; Trezza, Giovanni; Asinari, Pietro; 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
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 |
|---|---|---|---|
| Leveraging quantum computing for heat conduction analysis: A case study in thermal engineering / Asinari, P., Piredda, M.M., Barletta, G., De Angelis, P., Alghamdi, N., Trezza, G., Provenzano, M., Fasano, M., Chiavazzo, E.. - In: CASE STUDIES IN THERMAL ENGINEERING. - ISSN 2214-157X. - 79:(2026). [10.1016/j.csite.2026.107813] | 1-gen-2026 | Asinari, PietroPiredda, Matteo MariaBarletta, GiulioDe Angelis, PaoloAlghamdi, NadaTrezza, GiovanniProvenzano, MarinaFasano, MatteoChiavazzo, Eliodoro | 1-s2.0-S2214157X26001759-main.pdf |
| Charting the Landscape of Bardeen-Cooper-Schrieffer Superconductors in Experimentally Known Compounds / Bercx, M., Poncé, S., Zhang, Y., Trezza, G., Ghezeljehmeidan, A.G., Bastonero, L., Qiao, J., Von Rohr, F.O., Pizzi, G., Chiavazzo, E., Marzari, N.. - In: PRX ENERGY. - ISSN 2768-5608. - 4:3(2025). [10.1103/sb28-fjc9] | 1-gen-2025 | Trezza, GiovanniChiavazzo, Eliodoro + | sb28-fjc9.pdf |
| Classification-Based Detection and Quantification of Cross-Domain Data Bias in Materials Discovery / Trezza, G., Chiavazzo, E.. - In: JOURNAL OF CHEMICAL INFORMATION AND MODELING. - ISSN 1549-9596. - (2025). [10.1021/acs.jcim.4c01766] | 1-gen-2025 | Trezza, GiovanniChiavazzo, Eliodoro | trezza-chiavazzo-2024-classification-based-detection-and-quantification-of-cross-domain-data-bias-in-materials-discovery.pdf |
| Energy-GNoME: A living database of selected materials for energy applications / De Angelis, P., Barletta, G., Trezza, G., Asinari, P., Chiavazzo, E.. - In: ENERGY AND AI. - ISSN 2666-5468. - (2025). [10.1016/j.egyai.2025.100605] | 1-gen-2025 | De Angelis, PaoloBarletta, GiulioTrezza, GiovanniAsinari, PietroChiavazzo, Eliodoro | EnergyGNoME-main.pdf |
| Learning Effective Good Variables from Physical Data / Barletta, G., Trezza, G., Chiavazzo, E.. - 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, S.A., Trezza, G., Bergamasco, L., Song, H., Rodríguez-Jiménez, S., Hammarström, L., Chiavazzo, E., Reisner, E.. - 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 |
| Leveraging composition-based energy material descriptors for machine learning models / Trezza, G., Chiavazzo, E.. - 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, G., Bergamasco, L., Fasano, M., Chiavazzo, E.. - 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 |