Giovanni M. Pavan

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!!!

Our collaborative work "The #Martini3 #Lipidome: Expanded and Refined Parameters Improve Lipid Phase Behavior" is now published in #ACSCentralScience! 🎉 📄 Read: pubs.acs.org/doi/10.1021/ac… 💾 GitHub: github.com/Martini-Force-… #MolecularDynamics #Biophysics #Simulations #Lipids

A true community effort ! The Martini 3 Lipidome: Expanded and Refined Parameters Improve Lipid Phase Behavior | ACS Central Science pubs.acs.org/doi/10.1021/ac…

Great to see this finally out!! Congrats to all coauthors!🍾

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🚀 pubs.aip.org/aip/jcp/articl…

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!🚀 nature.com/articles/s4146…

#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!🤩 academic.oup.com/pnasnexus/arti…

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: arxiv.org/abs/2412.09412… 🚀

@LabPavan @MatteoCioniMC @PoliTOnews Congrats @MatteoCioniMC!! 🥳🍾

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! arxiv.org/abs/2411.12570 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!!🤩🥳 pnas.org/doi/10.1073/pn…

@Hermanslab @ampowerflower Congratulations!!!

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! onlinelibrary.wiley.com/doi/full/10.10…

@TUeindhoven Congratulations!!

@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.

Yesterday my promotor and dear friend Roeland Nolte passed away, fully unexpectedly. More than an iconic scientist, he was one of the most sincere, friendly, and supportive persons I have ever met. He will be genuinely missed by everyone.

@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.

I am very sad to hear that my postdoc supervisor, gentleman and friend, Prof. Roeland Nolte, Nijmegen, The Netherlands, passed away. #RoelandNolte the #Supramolecular & Physical Organic Chemistry communities across the globe will miss you, but always remember your achievements.

😎: 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!🚀🤯 arxiv.org/abs/2402.07786

chaired by @UlijnGroup and @Hermanslab, vice-chairs @RoxanneKieltyka and @LabPavan

📢📢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 = 🩷