ARCIDIACONO, AMANDA Statistiche
ARCIDIACONO, AMANDA
DIPARTIMENTO DI CHIMICA E CHIMICA INDUSTRIALE
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Atomistic simulations reveal the photoactivation mechanism of a carotenoid-binding photoreceptor
2026-01-01 Arcidiacono, Amanda; Bondanza, Mattia; Cupellini, Lorenzo; Mennucci, Benedetta
Electrostatic embedding machine learning for ground and excited state molecular dynamics of solvated molecules
2024-01-01 Mazzeo, Patrizia; Cignoni, Edoardo; Arcidiacono, Amanda; Cupellini, Lorenzo; Mennucci, Benedetta
Predicting Solvatochromism of Chromophores in Proteins through QM/MM and Machine Learning
2024-01-01 Arcidiacono, A.; Cignoni, E.; Mazzeo, P.; Cupellini, L.; Mennucci, B.
How orange carotenoid protein controls the excited state dynamics of canthaxanthin
2023-01-01 Arcidiacono, A.; Accomasso, D.; Cupellini, L.; Mennucci, B.
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| Atomistic simulations reveal the photoactivation mechanism of a carotenoid-binding photoreceptor | 1-gen-2026 | Arcidiacono, Amanda; Bondanza, Mattia; Cupellini, Lorenzo; Mennucci, Benedetta | |
| Electrostatic embedding machine learning for ground and excited state molecular dynamics of solvated molecules | 1-gen-2024 | Mazzeo, Patrizia; Cignoni, Edoardo; Arcidiacono, Amanda; Cupellini, Lorenzo; Mennucci, Benedetta | |
| Predicting Solvatochromism of Chromophores in Proteins through QM/MM and Machine Learning | 1-gen-2024 | Arcidiacono, A.; Cignoni, E.; Mazzeo, P.; Cupellini, L.; Mennucci, B. | |
| How orange carotenoid protein controls the excited state dynamics of canthaxanthin | 1-gen-2023 | Arcidiacono, A.; Accomasso, D.; Cupellini, L.; Mennucci, B. |