Joe Banana

[Andrea Bonaceto @andreabonac]

I want to express my deepest gratitude to everyone who joined and supported my solo exhibition FRAGMENTS at Valuart in Lugano. Meeting so many wonderful people and engaging in meaningful conversations made the event truly unforgettable.

A heartfelt thank you to the amazing team at Valuart for hosting the exhibition and providing a platform to share my work with a wider audience. Your dedication, expertise, and passion were essential in bringing this vision to life. From the initial planning to the final execution, your commitment ensured everything came together seamlessly.

I’m deeply appreciative of the viewers and collectors whose engagement and support have been instrumental throughout my journey. Your interest, encouragement, and patronage have been a constant source of inspiration, enabling me to continue exploring and evolving my artistic practice.

A special thanks to the dedicated team who worked tirelessly behind the scenes, bringing their talents and passion to every aspect of the project. Your efforts in organizing, promoting, and managing the exhibition were invaluable.

Finally, I want to express my profound gratitude to my family and friends for their support and belief in my work. Your encouragement, understanding, and love have been the foundation that allows me to pursue my creative endeavors. I couldn’t have embarked on this journey without you by my side.

FRAGMENTS was conceived as a reflection on how we navigate the intersections of the digital and physical realms, and how these experiences shape our perceptions of self and others. Seeing these ideas resonate with so many of you reinforces my belief in art’s ability to connect us on a deeper level.

Thank you all for being part of this journey and for contributing to the dialogue that FRAGMENTS aims to inspire.

[Giovanni M. Pavan Lab @LabPavan]

Just out #openaccess @JCIM_JCTC our new work:
"Automatic Optimization of Lipid Models in the Martini Force Field using SwarmCG"!🧐🤯✌️���🍾

https://t.co/u1A2gkHrwv

Massive effort @CEmpereurMot !🏋️‍♂️👏
Great collaboration with K. Pedersen @SouzaPauloCT & the @CG_Martini group!🤝🙌

[Giovanni M. Pavan Lab @LabPavan]

Now #OpenAccess @ChemicalScience a computational approach that allows studying the dynamics of rotaxanes & molecular shuttles at atomistic resolution!🤯
Congrats @LeanzaLuigi @Clanzow @JoeBanana_LP @mvdelius @matteoslvlgl @pamara54 for this masterpiece!🙌
https://t.co/fnrWZoGnB5

[matthieu Chavent @Matth_Chavent]

Second of #GGMM23 conference. First speaker C Empereur-Mot talking about automatic optimization of CG lipid models using SwarmCG

[Giovanni M. Pavan Lab @LabPavan]

Just out @ChemRxiv our new work:
"On the Automatic Optimization of Lipid Models in the Martini Force Field using SwarmCG"🚀🔥🥳

https://t.co/MSqjcTS4Gs

We demonstrate how SwarmCG multi-objective optimization may be useful to improve the accuracy of Martini 3 lipid models!!🧐✌️

[Giovanni M. Pavan Lab @LabPavan]

Studying the dynamics of rotaxanes @ submolecular resolution & on experimentally-relevant timescales is key for rational design, but difficult experimentally & computationally.🤯
Now @ChemRxiv "Into the Dynamics of Rotaxanes at Atomistic Resolution"!🧐🚀🥳
https://t.co/u0w1XU5K2R

[Giovanni M. Pavan Lab @LabPavan]

#OpenAccess @J_A_C_S our last collaborative work with the Nitschke group @Cambridge_Uni!🥳✌️
https://t.co/4aTn6WvyOI
🙏Jonathan for involving us in this nice research!🙌
It also contains simulations by @JoeBanana_LP exploring the stability & interconversions of cage conformers!🧐

[Giovanni M. Pavan Lab @LabPavan]

Now @softmatter our collaboration w/ Cristian Micheletti: "Density-tunable pathway complexity in a minimalistic self-assembly model".🥳
We simulated a system where complexity clearly emerges from crowding!🧐
Nice work Matteo Becchi @ric_capelli @Clanzow!🙌
https://t.co/r77FRCZ37B

[Joe Banana @JoeBanana_LP]

Just two weeks old, and I enjoy every minute of you! Thank a lot Ulysse for becoming a fundamental part of my life #abinfinite1

[Giovanni M. Pavan Lab @LabPavan]

Check this out! Fresh @ChemRxiv:

“Reconstructing Reactivity in Dynamic Host-Guest Systems at Atomistic Resolution: Amide Hydrolysis Under Confinement in the Cavity of a Coordination Cage”

https://t.co/9b8lfKA8GB

Huge effort by @MaxDellePiane @JoeBanana_LP @MatteoCioniMC!

[Nature Chemistry @NatureChemistry]

Porous covalent organic nanotubes and their assembly into toroidal structures https://t.co/Ye0iP6V8oM ($)

[Giovanni M. Pavan Lab @LabPavan]

Finally out & #openaccess in @JPhysChem!
A dimensionality reduction approach based on SOAP metrics to compare & classify lipid force fields.
Versatile & not restricted to lipids!
Useful to compare a variety of dynamic systems! #compchem #machinelearning
https://t.co/rcTfiTkNTi

[Giovanni M. Pavan Lab @LabPavan]

Our great collaboration with @mvdelius on Living Polymerization of Fluorinated Cyclohexanes is out in @NatureComms!
Congrats to all authors!
Nice simulations, @JoeBanana_LP @AndreaGardin2!
@ERC_Research @snsf_ch @cscsch @Cineca1969 @PoliTOnews @supsi_ch
https://t.co/2nNJhInaHe

[Giovanni M. Pavan Lab @LabPavan]

Finally published and open accessible in @ACS_Omega!
We bet you will find Swarm-CG useful to build CG models of simple-to-complex molecules in automatic way.
Code available at: https://t.co/eAqn1d7nHq.
Massive work by @CEmpereurMot!
@ERC_Research @snsf_ch @cscsch @Cineca1969

[Giovanni M. Pavan Lab @LabPavan]

Interested in fuel-driven supramolecular polymerization?
Check out our new preprint! We used multiscale molecular modeling to study ATP-driven self-assembly & disassembly of biomimetic dynamic supramolecular polymers! Great work @Clanzow @georgelabJNCASR! @ERC_Research @snsf_ch

[Giovanni M. Pavan Lab @LabPavan]

Sick of manually refining & optimizing coarse-grained models? Check this out!
Swarm-CG automatically & efficiently optimizes bonded terms in CG models of simple-to-complex molecules. Versatile, easy to use, works perfectly with e.g. MARTINI & Gromacs. Great work @CEmpereurMot!

[Giovanni M. Pavan Lab @LabPavan]

Our new @J_A_C_S paper on cages and azobenzenes looks even better in its final form, with the nice TOC made by Luca @JoeBana75396481 from our group!
Have a look!
Thanks again @rafalklajn @pamara54 @AngelaGrommet @Clanzow @ERC_Research @snsf_ch @cscsch

https://t.co/OZ3RjPGDl8