Giovanni M. Pavan
@giovannipavan.bsky.social
Scientist | Full Professor at Politecnico di Torino (IT) | ERC Consolidator grantee | Head of CPC Lab: http://www.gmpavanlab.polito.it | Self-assembly, chemical physics, materials science, soft matter, complex systems, emergent properties
Congratulations!
September 3, 2025 at 12:52 PM
Congratulations!
Great to see this finally out!! Congrats to all coauthors!!🍾
August 1, 2025 at 12:50 PM
Great to see this finally out!! Congrats to all coauthors!!🍾
Congratulations Grace! And best luck for the new adventure!
July 2, 2025 at 6:19 AM
Congratulations Grace! And best luck for the new adventure!
Congratulations to all coauthors @mattia-perrone.bsky.social Matteo Cioni & @massimodellepiane.bsky.social!!🙌🥳👏
Work supported by @erc.europa.eu @cineca.bsky.social & DISAT & Politecnico di Torino 🙏🙏
Work supported by @erc.europa.eu @cineca.bsky.social & DISAT & Politecnico di Torino 🙏🙏
June 19, 2025 at 4:11 PM
Congratulations to all coauthors @mattia-perrone.bsky.social Matteo Cioni & @massimodellepiane.bsky.social!!🙌🥳👏
Work supported by @erc.europa.eu @cineca.bsky.social & DISAT & Politecnico di Torino 🙏🙏
Work supported by @erc.europa.eu @cineca.bsky.social & DISAT & Politecnico di Torino 🙏🙏
This provides a general data-driven approach for studying the internal physical behavior of metallic (but also other types of) systems just by building on the abstract concepts of fluctuations & spatiotemporal fluctuations' correlations. 🤯🤩
June 19, 2025 at 4:11 PM
This provides a general data-driven approach for studying the internal physical behavior of metallic (but also other types of) systems just by building on the abstract concepts of fluctuations & spatiotemporal fluctuations' correlations. 🤯🤩
Our analyses demonstrate, in a completely unsupervised & abstract way, how metal lattices transition from the elastic to the plastic phase when new local defects/fluctuations cannot avoid emerging as correlated in space & simultaneous in time, leading to the early emergence of dislocations! 🤓
June 19, 2025 at 4:11 PM
Our analyses demonstrate, in a completely unsupervised & abstract way, how metal lattices transition from the elastic to the plastic phase when new local defects/fluctuations cannot avoid emerging as correlated in space & simultaneous in time, leading to the early emergence of dislocations! 🤓
Congratulations to all coauthors!👏🙌🚀
🙏 @erc.europa.eu, @cscsch.bsky.social, DISAT, Politecnico di Torino, SUPSI🙏
🙏 @erc.europa.eu, @cscsch.bsky.social, DISAT, Politecnico di Torino, SUPSI🙏
June 18, 2025 at 9:55 AM
Congratulations to all coauthors!👏🙌🚀
🙏 @erc.europa.eu, @cscsch.bsky.social, DISAT, Politecnico di Torino, SUPSI🙏
🙏 @erc.europa.eu, @cscsch.bsky.social, DISAT, Politecnico di Torino, SUPSI🙏
In non-cooperative systems, all entities populating them suffer comparably from external perturbations.
In cooperative systems (with internal "interactions-avidity"), the stronger units survive at the expense of the weaker ones!🤯
In cooperative systems (with internal "interactions-avidity"), the stronger units survive at the expense of the weaker ones!🤯
June 18, 2025 at 9:54 AM
In non-cooperative systems, all entities populating them suffer comparably from external perturbations.
In cooperative systems (with internal "interactions-avidity"), the stronger units survive at the expense of the weaker ones!🤯
In cooperative systems (with internal "interactions-avidity"), the stronger units survive at the expense of the weaker ones!🤯
Reposted by Giovanni M. Pavan
A free version of the paper is available:
doi.org/10.26434/che...
doi.org/10.26434/che...
When Theory Came First: A Review of Theoretical Chemical Predictions Ahead of Experiments
For decades, computational theoretical chemistry has provided critical insights into molecular behavior, often anticipating experimental discoveries. This review surveys twenty notable examples from t...
doi.org
May 31, 2025 at 2:45 PM
A free version of the paper is available:
doi.org/10.26434/che...
doi.org/10.26434/che...
Nice work @mbarbatti.bsky.social!
Glad to see a section on our 2017 work www.nature.com/articles/s41... explaining via models/simulations how the dynamics of supramolecular polymers is controlled by defects, later observed by experiments @fluorenzo.bsky.social in 2024 (pubs.acs.org/doi/10.1021/...)!
Glad to see a section on our 2017 work www.nature.com/articles/s41... explaining via models/simulations how the dynamics of supramolecular polymers is controlled by defects, later observed by experiments @fluorenzo.bsky.social in 2024 (pubs.acs.org/doi/10.1021/...)!
Into the Dynamics of a Supramolecular Polymer at Submolecular Resolution - Nature Communications
Accessing the dynamics of soft self-assembled materials at high resolution is very difficult. Here the authors show atomistic and coarse-grained modelling combined with enhanced sampling to characteri...
www.nature.com
March 14, 2025 at 10:02 AM
Nice work @mbarbatti.bsky.social!
Glad to see a section on our 2017 work www.nature.com/articles/s41... explaining via models/simulations how the dynamics of supramolecular polymers is controlled by defects, later observed by experiments @fluorenzo.bsky.social in 2024 (pubs.acs.org/doi/10.1021/...)!
Glad to see a section on our 2017 work www.nature.com/articles/s41... explaining via models/simulations how the dynamics of supramolecular polymers is controlled by defects, later observed by experiments @fluorenzo.bsky.social in 2024 (pubs.acs.org/doi/10.1021/...)!
Great initiative! Could you please add me! Many thanks!
March 4, 2025 at 6:53 AM
Great initiative! Could you please add me! Many thanks!
February 19, 2025 at 3:21 PM
This work required the support of many people!
Congratulations to Cristina Caruso for the massive effort!👏
Congrats to all other coauthors - Martina Crippa, Annalisa Cardellini, Matteo Cioni, Mattia Perrone, @massimodellepiane.bsky.social l - for the huge work!
🙏 @erc.europa.eu for the support 🙏
Congratulations to Cristina Caruso for the massive effort!👏
Congrats to all other coauthors - Martina Crippa, Annalisa Cardellini, Matteo Cioni, Mattia Perrone, @massimodellepiane.bsky.social l - for the huge work!
🙏 @erc.europa.eu for the support 🙏
February 19, 2025 at 10:19 AM
This work required the support of many people!
Congratulations to Cristina Caruso for the massive effort!👏
Congrats to all other coauthors - Martina Crippa, Annalisa Cardellini, Matteo Cioni, Mattia Perrone, @massimodellepiane.bsky.social l - for the huge work!
🙏 @erc.europa.eu for the support 🙏
Congratulations to Cristina Caruso for the massive effort!👏
Congrats to all other coauthors - Martina Crippa, Annalisa Cardellini, Matteo Cioni, Mattia Perrone, @massimodellepiane.bsky.social l - for the huge work!
🙏 @erc.europa.eu for the support 🙏
Complete details & LEAP analysis code available at:
github.com/GMPavanLab/L...
and at:
doi.org/10.5281/zeno...
github.com/GMPavanLab/L...
and at:
doi.org/10.5281/zeno...
GitHub - GMPavanLab/LEAP
Contribute to GMPavanLab/LEAP development by creating an account on GitHub.
github.com
February 19, 2025 at 10:03 AM
Complete details & LEAP analysis code available at:
github.com/GMPavanLab/L...
and at:
doi.org/10.5281/zeno...
github.com/GMPavanLab/L...
and at:
doi.org/10.5281/zeno...
#LEAP analyses are agnostic & require just that a trajectory of the building blocks constituting the complex dynamical system is available.
Particularly useful to explore complex dynamical systems whose physics is unknown a priori, as well as to revisit wel-known phenomena under a new perspective.🤯
Particularly useful to explore complex dynamical systems whose physics is unknown a priori, as well as to revisit wel-known phenomena under a new perspective.🤯
February 19, 2025 at 10:03 AM
#LEAP analyses are agnostic & require just that a trajectory of the building blocks constituting the complex dynamical system is available.
Particularly useful to explore complex dynamical systems whose physics is unknown a priori, as well as to revisit wel-known phenomena under a new perspective.🤯
Particularly useful to explore complex dynamical systems whose physics is unknown a priori, as well as to revisit wel-known phenomena under a new perspective.🤯
#LEAP analyses allow to:
1) Detect relevant fluctuations from noise in trajectories
2) Classify fluctuations in types based on their physics
3) Identifying correlations in space & time between fluctuations
4) Unveil local & collective events, their correlations, causal relationships, etc.
1) Detect relevant fluctuations from noise in trajectories
2) Classify fluctuations in types based on their physics
3) Identifying correlations in space & time between fluctuations
4) Unveil local & collective events, their correlations, causal relationships, etc.
February 19, 2025 at 10:03 AM
#LEAP analyses allow to:
1) Detect relevant fluctuations from noise in trajectories
2) Classify fluctuations in types based on their physics
3) Identifying correlations in space & time between fluctuations
4) Unveil local & collective events, their correlations, causal relationships, etc.
1) Detect relevant fluctuations from noise in trajectories
2) Classify fluctuations in types based on their physics
3) Identifying correlations in space & time between fluctuations
4) Unveil local & collective events, their correlations, causal relationships, etc.