Zobrazeno 1 - 10
of 149
pro vyhledávání: '"Giovanni M. Pavan"'
Autor:
Matteo Cioni, Massimo Delle Piane, Daniela Polino, Daniele Rapetti, Martina Crippa, Ece Arslan Irmak, Sandra Van Aert, Sara Bals, Giovanni M. Pavan
Publikováno v:
Advanced Science, Vol 11, Iss 25, Pp n/a-n/a (2024)
Abstract Even at low temperatures, metal nanoparticles (NPs) possess atomic dynamics that are key for their properties but challenging to elucidate. Recent experimental advances allow obtaining atomic‐resolution snapshots of the NPs in realistic re
Externí odkaz:
https://doaj.org/article/6cf27369cfcc452987a0f9b5989efa3c
Autor:
Daniele Rapetti, Massimo Delle Piane, Matteo Cioni, Daniela Polino, Riccardo Ferrando, Giovanni M. Pavan
Publikováno v:
Communications Chemistry, Vol 6, Iss 1, Pp 1-13 (2023)
Abstract It is known that metal nanoparticles (NPs) may be dynamic and atoms may move within them even at fairly low temperatures. Characterizing such complex dynamics is key for understanding NPs’ properties in realistic regimes, but detailed info
Externí odkaz:
https://doaj.org/article/d1b040bdda00487cb3d764ae5b9a80fa
Autor:
Noriyuki Uchida, Ai Kohata, Kou Okuro, Annalisa Cardellini, Chiara Lionello, Eric A. Zizzi, Marco A. Deriu, Giovanni M. Pavan, Michio Tomishige, Takaaki Hikima, Takuzo Aida
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-11 (2022)
GTP-triggered release from drug carriers has huge potential in cancer therapy but current carriers suffers from off target release due to ATP also acting as a trigger. Here, the authors report on the development of a microtubule capsule which is engi
Externí odkaz:
https://doaj.org/article/da809c3acdb14cfc8f11a2fb3a04f9df
Publikováno v:
Communications Chemistry, Vol 5, Iss 1, Pp 1-15 (2022)
Defects and disordered local domains in soft, self-assembled aggregates determine their dynamic and adaptive properties, and enable communication between entities, but characterizing and classifying such intricate dynamic behaviors is highly complex.
Externí odkaz:
https://doaj.org/article/5db5f517e4804d2d9e765c8ba9c9a800
Publikováno v:
CHIMIA, Vol 77, Iss 4 (2023)
Externí odkaz:
https://doaj.org/article/d769bcafcc804a37917f89c8af91e245
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-12 (2022)
The dynamic structure of supramolecular polymers is challenging to determine both in experiments and in simulations. Here the authors use coarse-grained molecular models to provide a comprehensive analysis of the molecular communication in these comp
Externí odkaz:
https://doaj.org/article/6c8fdee5fe564fdbaf1ba851d9a4c831
Autor:
Elisabeth Weyandt, Luigi Leanza, Riccardo Capelli, Giovanni M. Pavan, Ghislaine Vantomme, E. W. Meijer
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-9 (2022)
Controlling multicomponent systems is difficult due to convoluted behavior, pathway complexity, and coupled equilibria. Here the authors showed modulation of aggregate morphology in a zinc porphyrin-based supramolecular system via judicious capping w
Externí odkaz:
https://doaj.org/article/a1f7b7e18dd74df49fc6524a4a230b13
Autor:
Oleksandr Shyshov, Shyamkumar Vadakket Haridas, Luca Pesce, Haoyuan Qi, Andrea Gardin, Davide Bochicchio, Ute Kaiser, Giovanni M. Pavan, Max von Delius
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-11 (2021)
Living supramolecular polymerization can produce precise covalent polymers, but the scope of monomers is still narrow. Here the authors show a molecular platform for living supramolecular polymerization that is based on the unique structure of all-ci
Externí odkaz:
https://doaj.org/article/8f8bf435b7ae4e9b825de4653c821621
Autor:
Charly Empereur-Mot, Luca Pesce, Giovanni Doni, Davide Bochicchio, Riccardo Capelli, Claudio Perego, Giovanni M. Pavan
Publikováno v:
ACS Omega, Vol 5, Iss 50, Pp 32823-32843 (2020)
Externí odkaz:
https://doaj.org/article/67cce85f6c684f7d8e6283be25eb351b
Publikováno v:
Machine Learning: Science and Technology, Vol 4, Iss 4, p 045044 (2023)
In many complex molecular systems, the macroscopic ensemble’s properties are controlled by microscopic dynamic events (or fluctuations) that are often difficult to detect via pattern-recognition approaches. Discovering the relationships between loc
Externí odkaz:
https://doaj.org/article/3f32965c7678473dac93245b53f54cb0