Massimo Delle Piane
@massimodellepiane.bsky.social
Assistant professor (RTDb) in Theoretical Physics of Matter
Department of Applied Science and Technology (DISAT)
Politecnico di Torino, Italy
https://www.gmpavanlab.com
Department of Applied Science and Technology (DISAT)
Politecnico di Torino, Italy
https://www.gmpavanlab.com
Reposted by Massimo Delle Piane
How much complexity is needed in self-assembling molecular systems to observe non-trivial emergent behaviors typical of more complex, higher-scale systems?🤯
Not much!😲
See @natcomms.nature.com our work on the collective resilience of dynamical supramolecular polymers!🚀
www.nature.com/articles/s41...
Not much!😲
See @natcomms.nature.com our work on the collective resilience of dynamical supramolecular polymers!🚀
www.nature.com/articles/s41...
Non-trivial stimuli-responsive collective behaviours emerging from microscopic dynamic complexity in supramolecular polymer systems - Nature Communications
Supramolecular polymers possess features typical of complex systems, but the mechanisms that lead to the emergence of collective properties inside them are often difficult to ascertain. Here the autho...
www.nature.com
June 18, 2025 at 9:53 AM
How much complexity is needed in self-assembling molecular systems to observe non-trivial emergent behaviors typical of more complex, higher-scale systems?🤯
Not much!😲
See @natcomms.nature.com our work on the collective resilience of dynamical supramolecular polymers!🚀
www.nature.com/articles/s41...
Not much!😲
See @natcomms.nature.com our work on the collective resilience of dynamical supramolecular polymers!🚀
www.nature.com/articles/s41...
This was quite a gigantic endeavor, demonstrating the power of this bivariate analysis on a range of dynamic systems, from water to metals, going up to real experimental movies (!!). Happy to have contributed! And kudos to Cristina Caruso for the amazing work! 🎉
#LEAP is out @pnasnexus.org!🚀
Building on abstract concepts of local fluctuations & their correlations in space & ⏱️, #LEAP provides, in agnostic & purely data-driven way, info on the internal physics of complex dynamical systems from the atomic- to the macro-scale!🤩
academic.oup.com/pnasnexus/ad...
Building on abstract concepts of local fluctuations & their correlations in space & ⏱️, #LEAP provides, in agnostic & purely data-driven way, info on the internal physics of complex dynamical systems from the atomic- to the macro-scale!🤩
academic.oup.com/pnasnexus/ad...
Classification and spatiotemporal correlation of dominant fluctuations in complex dynamical systems
Abstract. The behaviors of many complex systems, from nanostructured materials to animal colonies, are governed by local events/rearrangements that, while
academic.oup.com
February 19, 2025 at 10:14 AM
This was quite a gigantic endeavor, demonstrating the power of this bivariate analysis on a range of dynamic systems, from water to metals, going up to real experimental movies (!!). Happy to have contributed! And kudos to Cristina Caruso for the amazing work! 🎉
Reposted by Massimo Delle Piane
Excited to announce the release of our preprint, "The Martini 3 Lipidome: Expanded and Refined Parameters Improve Lipid Phase Behavior", now available on @chemrxiv.bsky.social
👉 Read the full preprint here: chemrxiv.org/engage/chemr...
👉 Read the full preprint here: chemrxiv.org/engage/chemr...
December 26, 2024 at 1:47 PM
Excited to announce the release of our preprint, "The Martini 3 Lipidome: Expanded and Refined Parameters Improve Lipid Phase Behavior", now available on @chemrxiv.bsky.social
👉 Read the full preprint here: chemrxiv.org/engage/chemr...
👉 Read the full preprint here: chemrxiv.org/engage/chemr...
Reposted by Massimo Delle Piane
#compchem #chemsky #data-analysis #machinelearning #AI folks 📣
In #ArXiv we propose the concept of “optimal spatiotemporal resolutions”!🤯
We demonstrate how any system/data has its own to be best studied/characterised & how to learn these directly from the system’s data!🚀
arxiv.org/abs/2412.13741
In #ArXiv we propose the concept of “optimal spatiotemporal resolutions”!🤯
We demonstrate how any system/data has its own to be best studied/characterised & how to learn these directly from the system’s data!🚀
arxiv.org/abs/2412.13741
Optimal Spatiotemporal Resolutions
In general, the comprehension of any type of complex system depends on the resolution used to look at the phenomena occurring within it. But identifying a priori, for example, the best time frequencie...
arxiv.org
December 20, 2024 at 8:25 AM
#compchem #chemsky #data-analysis #machinelearning #AI folks 📣
In #ArXiv we propose the concept of “optimal spatiotemporal resolutions”!🤯
We demonstrate how any system/data has its own to be best studied/characterised & how to learn these directly from the system’s data!🚀
arxiv.org/abs/2412.13741
In #ArXiv we propose the concept of “optimal spatiotemporal resolutions”!🤯
We demonstrate how any system/data has its own to be best studied/characterised & how to learn these directly from the system’s data!🚀
arxiv.org/abs/2412.13741
👏
Finally out my last work! If you are dealing with high dimensional data, you should definitely take a look! 😉
When studying complex systems, a common belief is that high-dimensional analyses are desirable to prevent losing important information... but to what extent this is really needed/beneficial remains often unclear.😵💫
In our last Arxiv preprint we challenge this assumption:
arxiv.org/abs/2412.094... 🚀🤩
In our last Arxiv preprint we challenge this assumption:
arxiv.org/abs/2412.094... 🚀🤩
December 19, 2024 at 3:10 PM
👏
Reposted by Massimo Delle Piane
You don't need to finish and submit your paper before the end of the year. You won't gain time if you do as nobody is going to review it over the holidays. And you know what, your paper is going to be so much better when you read through it with a well-rested brain in the new year.
#AcademicSky
#AcademicSky
December 17, 2024 at 2:48 PM
You don't need to finish and submit your paper before the end of the year. You won't gain time if you do as nobody is going to review it over the holidays. And you know what, your paper is going to be so much better when you read through it with a well-rested brain in the new year.
#AcademicSky
#AcademicSky
Reposted by Massimo Delle Piane
When studying complex systems, a common belief is that high-dimensional analyses are desirable to prevent losing important information... but to what extent this is really needed/beneficial remains often unclear.😵💫
In our last Arxiv preprint we challenge this assumption:
arxiv.org/abs/2412.094... 🚀🤩
In our last Arxiv preprint we challenge this assumption:
arxiv.org/abs/2412.094... 🚀🤩
Relevant, hidden, and frustrated information in high-dimensional analyses of complex dynamical systems with internal noise
Extracting from trajectory data meaningful information to understand complex systems might be non-trivial. High-dimensional analyses are typically assumed to be desirable, if not required, to prevent ...
arxiv.org
December 19, 2024 at 2:41 PM
When studying complex systems, a common belief is that high-dimensional analyses are desirable to prevent losing important information... but to what extent this is really needed/beneficial remains often unclear.😵💫
In our last Arxiv preprint we challenge this assumption:
arxiv.org/abs/2412.094... 🚀🤩
In our last Arxiv preprint we challenge this assumption:
arxiv.org/abs/2412.094... 🚀🤩
Great interdisciplinary work in collaboration with Prof. @kay-severin.bsky.social's group at EPFL! Our computational work (with Luigi Leanza and Giovanni M. Pavan) provided key insights into the self-assembly mechanisms behind these fascinating structures! 🧅
💥RSC CNN Paper of the Week💥
Nano onions based on an amphiphilic Au3(pyrazolate)3 complex
Severin* (EPFL)
Solea et al, Nanoscale, 10.1039/D4NR03901G
#ChemSky #Science #NanoSky
Nano onions based on an amphiphilic Au3(pyrazolate)3 complex
Severin* (EPFL)
Solea et al, Nanoscale, 10.1039/D4NR03901G
#ChemSky #Science #NanoSky
Nano onions based on an amphiphilic Au3(pyrazolate)3 complex
Multilayer vesicles with an onion-like architecture can form by self-assembly of organic amphiphiles such as dendrimers, small-molecule surfactants, and block copolymers. Thus far, there are limited r...
doi.org
December 19, 2024 at 2:00 PM
Great interdisciplinary work in collaboration with Prof. @kay-severin.bsky.social's group at EPFL! Our computational work (with Luigi Leanza and Giovanni M. Pavan) provided key insights into the self-assembly mechanisms behind these fascinating structures! 🧅