Inorganic nanoparticles are excellent tools to create smart bioinorganic nanodevices for drug delivery, targeting and imaging. To investigate these complex systems, we use multiscale approaches ranging from first-principles calculations to atomistic molecular dynamics simulations, metadynamics, umbrella sampling and machine learning.

Di Valentin, C. (2023). Computational modeling of complex nanosystems for drug delivery, targeting and imaging. In 2023 IEEE Nanotechnology Materials and Devices Conference, NMDC 2023 (pp.574-575). IEEE [10.1109/NMDC57951.2023.10344218].

Computational modeling of complex nanosystems for drug delivery, targeting and imaging

Di Valentin, C
2023

Abstract

Inorganic nanoparticles are excellent tools to create smart bioinorganic nanodevices for drug delivery, targeting and imaging. To investigate these complex systems, we use multiscale approaches ranging from first-principles calculations to atomistic molecular dynamics simulations, metadynamics, umbrella sampling and machine learning.
paper
nanomedicine, nanoparticles, drug delivery, imaging
English
18th IEEE Nanotechnology Materials and Devices Conference, NMDC 2023 - 22 October 2023 through 25 October 2023
2023
2023 IEEE Nanotechnology Materials and Devices Conference, NMDC 2023
9798350335460
2023
574
575
none
Di Valentin, C. (2023). Computational modeling of complex nanosystems for drug delivery, targeting and imaging. In 2023 IEEE Nanotechnology Materials and Devices Conference, NMDC 2023 (pp.574-575). IEEE [10.1109/NMDC57951.2023.10344218].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/485763
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