Top Tweets for #Statphys
Water confined in molecular crystals: structure and dynamics. Glad to see our study published for the Festschrift in honor of Christoph Dellago! Congrats Filippo and @M_Severi_96 #dynamics #water #softmatter #statphys @Ciamician_unibo @nielsenlab_qmul
https://t.co/zmupoC9vMe
Check out our new prepint! Superfun project with Ot & Adria (grad students in the group) and Matthias Carosi (recently defended his thesis PhD on QFT). Learned a lot along the way! #activematter #statphys
New preprint 👉 We charcaterize how non-Hermitian forces break time-reversibility in field theories: Entropy prod. (EPR) and FDT violations are set by anti-Hermitian terms+EPR localises at interfaces.
@demian_levis M Carosi O Garces, A Garces @UB_ICS
https://t.co/bcqygJNStm
Memory matters in non-equilibrium dynamics.
We observe a Kovacs effect in the electro-orientation of nanoparticle suspensions and use it to design faster relaxation protocols.
https://t.co/8dACMsjK6k
#SoftMatter #StatPhys
Happy to share our latest work on modeling the extinction times of bacterial population in the presence of antibacterial agents. https://t.co/aHDnKMOkD3 Congratulations to Nafisa, Shivangi and Aishani @chm_iiserb @iiserbhopal @niser_official @DBTIndia #statphys #compbio
Statistical Mechanics for Physicists and Mathematicians by Professor Fabien Paillusson
Provides a mathematically rigorous treatment of statistical mechanics, suitable for students and researchers in physics and mathematics.
📚 https://t.co/bqclQx8W92
#StatPhys #NetworkSci
🎉 The Topical Collection of MPAG “The Ising model at 100: some modern perspectives” is now complete!
👉 Read the collection here: https://t.co/D03po52a38
#Isingmodel #statphys #probabilitytheory #mpag
Nonequilibrium Statistical Physics by Professor Roberto Livi and Professor Paolo Politi
This second edition provides a modern and accessible overview of the foundations and applications of nonequilibrium statistical physics.
📚 https://t.co/yQmWSRZrcs
#StatPhys #NetworkSci
🔊 Don’t miss this insightful conversation with Mehran Kardar, 2025 Boltzmann Medal co-recipient & Associate Editor of Journal of Statistical Physics!
https://t.co/hHclem27Rs
#statphys #Boltzmannmedal2025 #jsp #meettheboard
As a theorist, it's amazing to see that statistical physics works firsthand! I truly enjoyed building an experiment from scratch with brilliant students like JPCarrillo AGarces. @CUCA_labo @FisicaUB #statphys #activematter
First experimental results with self-propelled robots are out!! Activity vs. external drive => depinning transition + exact calculations in quantitative agreement with experiments! Fantastic PhD work JPCarrillo and @AdriaGarces @UB_ICS #activematter
https://t.co/tj4kTT0Kun
How do you model agents' decision-making in a continuum framework for a complex system? Can you derive an interpretable framework that can be effectively used for control? Read more in our latest work #complexsystems #controltheory #statphys
👉 https://t.co/H0Urn8mi4I
Bridging #controltheory & #statphys to model decision-making in complex systems! Proud of the incredible work by @_lamandrea @SSMeridionale & our collaboration with Sabine Klapp @TUBerlin. #ComplexSystems #FieldTheory #shepherding #controltheory
👉 https://t.co/1755lj7Lpg
Networks in Venice again! Come!
#StatPhys Satellite #NetSci
https://t.co/PjyMbJNS2x
@GuidoCaldarelli
Great new work by @hashimotostring et al @univkyoto - @osaka_univ_e '#Neuralnetwork representation of #quantum systems' - https://t.co/BvGLPmQXBn #machinelearning #QFT #fieldtheory #stringtheory #statphys #quantummechanics #cosmology
'Nobel prize in Physics 2024', a new blog by Bernhard Mehlig, author of MACHINE LEARNING WITH NEURAL NETWORKS.
📚 https://t.co/j7L1fJjJLV
#StatPhys #NetworkSci
Great new work by @marceldotsci @spozdn @MicheleCeriotti @lab_COSMO @nccr_marvel @EPFL_en - 'Probing the effects of broken symmetries in #machinelearning' - https://t.co/K16ax5Y31q #compchem #materials #statphys #molecules #compphys #simulation #atomistic
'Nobel prize in Physics 2024', a new blog by Bernhard Mehlig, author of MACHINE LEARNING WITH NEURAL NETWORKS.
📚 https://t.co/j7L1fJjJLV
#StatPhys #NetworkSci
Great new work by Filippo Bigi @SanggyuChong @MicheleCeriotti @FedericoGrass @lab_COSMO @EPFL_en @UNIMORE_univ - 'A prediction rigidity formalism for low-cost uncertainties in trained #neuralnetworks' - https://t.co/eBvxxBvhm0 #machinelearning #statphys #Bayesian #compchem #AI
Great new work by Olivier Pierre-Louis, Francesco Montalenti et al @iLM_RECHERCHE @UnivLyon1 @unimib-'Extreme time extrapolation capabilities....#physics-inspired #neuralnetworks for the 3D #microstructure....'- https://t.co/IbSjaiDioj #machinelearning #materials #PINNs #statphys
Great new work by Stefan Meinecke, Malte Selig, Felix Köster, Andreas Knorr and Kathy Lüdge @TUBerlin @TU_Ilmenau - '#Datadriven acceleration of multi-physics #simulations' - https://t.co/2vePLjgPFA #machinelearning #PINNs #complexsystems #statphys #lasers #AI #photonics
Great new work by Samuel T Wauthier, Tim Verbelen, Bart Dhoedt and Bram Vanhecke @IDLabResearch @ResearchUGent @VERSESAI @imecVlaanderen @univienna - 'Planning with #tensornetworks based on active inference' - https://t.co/9mvEu0UGnE #machinelearning #quantum #statphys #manybody
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