Extermely happy to have been appointed Full Professor at the Politecnico di Torino!! @PoliTOnews#PoliTo
I am super-excited to start a new research group in Italy!
News on multiple open positions at various levels in my group will follow very soon!!!
A true community effort ! The Martini 3 Lipidome: Expanded and Refined Parameters Improve Lipid Phase Behavior | ACS Central Science https://t.co/IubUxR8I6Q
Metals owe their properties to how local defects emerge & amplify in collective dislocations under stress.🛠️
👉We show how tracking local atomic fluctuations & their space&⏱️correlations allows tracking metals' behavior through the elastic&plastic phases🚀
https://t.co/XgdUosXWU0
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 @NatureComms our work on the collective resilience of supramolecular polymers!🚀
https://t.co/iQGTgj0vQW
#LEAP is out @PNASNexus!🚀
Building on abstract concepts of local fluctuations & their correlations in space & ⏱️, #LEAP provides info on the physics of complex dynamical systems from the atomic- to the macro-scale in agnostic & purely data-driven way!🤩
https://t.co/Rs7HtD5IRv
When studying complex systems, 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.😵💫
Now @arxiv we challenge this assumption:
https://t.co/NZEGnB8VU0 🚀
Big congrats to @MatteoCioniMC on his PhD defense! 🎉✨
After years of hard work @PoliTOnews, Matteo's brilliant research in molecular dynamics & complex systems has pushed boundaries. 🌌💻
We're proud to celebrate this huge milestone with him! 🚀👨🎓
#PhDDefense#Science
The choice of descriptors is key for extracting information from data.🧐
Look at @SimoneM118 work!
https://t.co/PsSeIMMNe5
While advanced descriptors may rely on higher signal-to-noise, we show how even the simplest descriptor may become super efficient upon local denoising! 🚀
Finally out in @PNASNews “Onion 🧅 Clustering” 🚀: an efficient & essentially parameter-free unsupervised clustering method that can classify statistically relevant fluctuations & microscopic dynamical domains in noisy timeseries data of any kind!!🤩🥳
https://t.co/fWH10JFATr
Recent simulations showed non-trivial dynamics in metals. But these often remain hard to prove experimentally.
Here we combine for the 1st time experimentally-resolved Au-NP structures with MD simulations & #ML, proving their real-time atomic dynamics!
https://t.co/FpN2OcCNMi
@Dr_Bernhard I am very sorry to hear this. We will miss him a lot. He was an inspirational scientist and a great man. My condolences to all friends and to the family.
@PalliThordarson@Radboud_Uni What a sad news. He was really a great man, and a passionate and creative scientist. We will miss him a lot. Condolences to the family and all friends.
😎: Onion Clustering does not attempt to fit all data in a time-series into clusters! Depending on the resolution, dt, it classifies all the information that can be classified in statistically robust way & store the "undetermined" information in the ENV0 cluster! 🚀🤯🔥
Tracking statistically-relevant fluctuations in noisy time-series data is key in many fields, from #MachineLearning, to the study of signals & complex systems!
Use Onion #Clustering🧅: easy, unsupervised, physically-interpretable, statistically-robust!🚀🤯
https://t.co/2x5dBCkkUQ
📢📢Mark your calendar! SupraGRC will be 11-16 May 2025 in Switzerland! This meeting gets oversubscribed often, so make sure to register early. More updates will follow, so make sure to follow this account @SupraGRC. RT = 🩷