@ComplexAndBio

Center for Complexity & Biosystems

 University of Milan
complexity.unimi.it
Joined May 2015
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  • Followers395
292Media
. @SZapperi and colleagues discuss the recent advances in the computational design of mechanical metamaterials. @Complexandbio @LaStatale @UniFAU nature.com/articles/s43588-0… ➡️rdcu.be/dR9E9 🧵(9/11)
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Our latest newsletter is now available at complexitybiosystems.it/en/n…
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New preprint by @CAMLaPorta @SZapperi
bioRxiv@biorxivpreprint13 Jun 2023
Gene regulatory programs in the life history of Salpingoeca rosetta biorxiv.org/cgi/content/shor… #bioRxiv
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New preprint @CAMLaPorta @SZapperi
bioRxiv@biorxivpreprint13 Jun 2023
Gene regulatory programs in the life history of Salpingoeca rosetta biorxiv.org/cgi/content/shor… #bioRxiv
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I am hiring! Looking for a postdoctoral fellow interested in computational design of mechanical #metamaterials
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Virtual seminars on complexity are back tomorrow (Oct 11) at 2PM (CET) with Alessandro Pluchino who will talk about "Talent or luck: The role of chance in everyday life and in scientific careers" sites.google.com/view/virtua…

Virtual Seminars - Calendar

January 18, 2023

sites.google.com
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The webinar will be streamed on our youtube channel youtube.com/channel/UC1l6ERT…

CC&B Unimi

Here you find scientific videos produced by the Center for Complexity and Biosystems of the University of Milan. More videos can be found at: http://complexitybiosystems.it/en/videos

youtube.com
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and on zoom if you register to get the link...
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Su @SciReports, studio del @ComplexAndBio Centro Complessità e Biosistemi @LaStatale, ha dimostrato che #ARIADNE è in grado di identificare i pazienti ad alto rischio di metastasi per i quali la strategia immunologica fornisce risultati incerti #tumoreseno bit.ly/3OJ780H
Tumore al seno triplo negativo: un algoritmo riesce a far luce sul rischio di metastasi

ALT Tumore al seno triplo negativo: un algoritmo riesce a far luce sul rischio di metastasi

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Fresh from the press: All you wanted to know about Crackling Noise with Oxford University Press @OUPAcademic Order here: global.oup.com/academic/prod…
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In this paper, we show that #AI algorithms can predict with great accuracy the failure strain and location of 2D silica glasses under tensile loading. But why?
Nature Communications@NatureComms20 May 2022
Shear number of parameters in #deeplearning makes the physical interpretation of #failureprediction difficult. @francescfont @SZapperi & colleagues @UniFAU & @LaStatale use Grad-CAM to reveal the role of topological defects in failure predictions. nature.com/articles/s41467-0…

Predicting the failure of two-dimensional silica glasses

Nature Communications - The sheer number of parameters in deep learning makes the physical interpretation of failure predictions in glasses challenging. Here the authors use Grad-CAM to reveal the...

nature.com
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L'AI può prevedere quando e dove si romperanno i vetri a base di silice | La Statale News lastatalenews.unimi.it/lai-p…
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According to the latest research evaluation, our department @LaStatale was ranked first among all the physics departments of Italy. Congratulations to all my colleagues for this achievement!
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We established the validity of the omega^4 universal law of the density of quasilocalized modes in a realistic model of silica glass at finite temperature.
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In collaboration with Itamar Procaccia from @WeizmannScience
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Our new paper is on the universal density of low-frequency states in silica glass at finite temperatures is out in Phys. Rev. E 105, 054104 (2022) - journals.aps.org/pre/abstrac… @ComplexAndBio @LaStatale

Universal density of low-frequency states in silica glass at finite temperatures

The theoretical understanding of the low-frequency modes in amorphous solids at finite temperature is still incomplete. The study of the relevant modes is obscured by the dressing of interparticle...

journals.aps.org
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Postdoctoral position available (microfluidics, microscopy & cell biology) in @CamLaPorta group @ComplexAndBio linkedin.com/feed/update/urn…
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Our virtual seminars on complexity are back! The new season starts with Miguel A. Muñoz on Jan 31. sites.google.com/view/virtua…

Virtual Seminars

The present world situation lead to the cancellation of all the major conferences and meetings. The Center for Complexity and Biosystems of the University of Milan responds to this situation by...

sites.google.com
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Our virtual seminars on complexity are back! The new season starts with Miguel A. Muñoz on Jan 31. sites.google.com/view/virtua…

Virtual Seminars

The present world situation lead to the cancellation of all the major conferences and meetings. The Center for Complexity and Biosystems of the University of Milan responds to this situation by...

sites.google.com
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