Publications

2025

Journal Articles

Hierarchical self-assembly for high-yield addressable complexity at fixed conditions

M. Holmes‐Cerfon; M. Wyart 

Proceedings of the National Academy of Sciences. 2025. Vol. 122, num. 43. DOI : 10.1073/pnas.2500245122.

Probing the latent hierarchical structure of data via diffusion models

A. Sclocchi; A. Favero; N. Itzhak Levi; M. Wyart 

Journal of Statistical Mechanics: Theory and Experiment. 2025. Vol. 2025, num. 8, p. 084005. DOI : 10.1088/1742-5468/aded6c.

Investigating Criticality in Rock Failure Using Fiber-Optic Strain Sensing

H. Chen; P. A. Selvadurai; T. de Geus; A. F. Salazar Vásquez; P. Bianchi et al. 

Geophysical Research Letters. 2025. Vol. 52, num. 14, p. e2025GL115010. DOI : 10.1029/2025GL115010.

Thermal Avalanches Drive Logarithmic Creep in Disordered Media

D. J. Korchinski; D. Shohat; Y. Lahini; M. Wyart 

PHYSICAL REVIEW X. 2025. Vol. 15, num. 3. DOI : 10.1103/x7rr-vxnr.

The role of excitations in supercooled liquids: Density, geometry, and relaxation dynamics

W. Ji; M. P. Ciamarra; M. Wyart 

Proceedings of the National Academy of Sciences of the United States of America. 2025. Vol. 122, num. 11. DOI : 10.1073/pnas.2416800122.

A phase transition in diffusion models reveals the hierarchical nature of data

A. Sclocchi; A. Favero; M. Wyart 

Proceedings of the National Academy of Sciences of the United States of America. 2025. Vol. 122, num. 1. DOI : 10.1073/pnas.2408799121.

Dynamical heterogeneities of thermal creep in pinned interfaces

T. W. De Geus; A. Rosso; M. Wyart 

Physical Review E. 2025. Vol. 111, num. 1, p. L013503. DOI : 10.1103/PhysRevE.111.L013503.

Theses

How data structures affect generalization in Kernel Methods and Deep Learning

U. M. Tomasini / M. Wyart (Dir.)  

Lausanne, EPFL, 2025. 

The Physics of Data and Tasks: Theories of Locality and Compositionality in Deep Learning

A. Favero / M. Wyart; P. Frossard (Dir.)  

Lausanne, EPFL, 2025. 

2024

Journal Articles

What can be learnt with wide convolutional neural networks?

F. Cagnetta; A. Favero; M. Wyart 

Journal of Statistical Mechanics: Theory and Experiment. 2024. Vol. 2024, num. 10, p. 104020. DOI : 10.1088/1742-5468/ad65df.

Computational complexity of deep learning: fundamental limitations and empirical phenomena

B. Barak; A. Carrell; A. Favero; W. Li; L. Stephan et al. 

Journal of Statistical Mechanics: Theory and Experiment. 2024. Vol. 2024, num. 10, p. 104008. DOI : 10.1088/1742-5468/ad3a5b.

Kernels, data & physics

F. Cagnetta; D. Oliveira; M. Sabanayagam; N. Tsilivis; J. Kempe 

Journal of Statistical Mechanics: Theory and Experiment. 2024. Vol. 2024, num. 10, p. 104013. DOI : 10.1088/1742-5468/ad292c.

Armouring of a Frictional Interface by Mechanical Noise

E. El Sergany; M. Wyart; T. W. de Geus 

Journal of Statistical Physics. 2024. Vol. 191, num. 10, p. 134. DOI : 10.1007/s10955-024-03339-z.

How Deep Neural Networks Learn Compositional Data: The Random Hierarchy Model

F. Cagnetta; L. Petrini; U. M. Tomasini; A. Favero; M. Wyart 

Physical Review X (PRX). 2024. Vol. 14, num. 3, p. 031001. DOI : 10.1103/PhysRevX.14.031001.

Testing Theories of the Glass Transition with the Same Liquid but Many Kinetic Rules

C. Gavazzoni; C. Brito; M. Wyart 

Physical Review Letters. 2024. Vol. 132, num. 24, p. 248201. DOI : 10.1103/PhysRevLett.132.248201.

Local vs. cooperative: Unraveling glass transition mechanisms with SEER

M. P. Ciamarra; W. Ji; M. Wyart 

Proceedings Of The National Academy Of Sciences Of The United States Of America (PNAS). 2024. Vol. 121, num. 22, p. e2400611121. DOI : 10.1073/pnas.2400611121.

On the different regimes of stochastic gradient descent

A. Sclocchi; M. Wyart 

Proceedings of the National Academy of Sciences of the United States of America. 2024. Vol. 121, num. 9. DOI : 10.1073/pnas.2316301121.

2023

Journal Articles

How deep convolutional neural networks lose spatial information with training

U. M. Tomasini; L. Petrini; F. Cagnetta; M. Wyart 

Machine Learning-Science And Technology. 2023. Vol. 4, num. 4, p. 045026. DOI : 10.1088/2632-2153/ad092c.

Learning sparse features can lead to overfitting in neural networks

L. Petrini; F. Cagnetta; E. Vanden-Eijnden; M. Wyart 

Journal Of Statistical Mechanics-Theory And Experiment. 2023. Vol. 2023, num. 11, p. 114003. DOI : 10.1088/1742-5468/ad01b9.

Scaling Description of Dynamical Heterogeneity and Avalanches of Relaxation in Glass-Forming Liquids

A. Tahaei; G. Biroli; M. Ozawa; M. Popovi; M. Wyart 

Physical Review X (PRX). 2023. Vol. 13, num. 3, p. 031034. DOI : 10.1103/PhysRevX.13.031034.

A recipe for cracking the quantum scaling limit with machine learned electron densities

J. A. Rackers; L. Tecot; M. Geiger; T. E. Smidt 

Machine Learning-Science And Technology. 2023. Vol. 4, num. 1, p. 015027. DOI : 10.1088/2632-2153/acb314.

Theses

Breaking the Curse of Dimensionality in Deep Neural Networks by Learning Invariant Representations

L. Petrini / M. Wyart (Dir.)  

Lausanne, EPFL, 2023. 

2022

Journal Articles

Scaling theory for the statistics of slip at frictional interfaces

T. W. J. de Geus; M. Wyart 

Physical Review E. 2022. Vol. 106, num. 6, p. 065001. DOI : 10.1103/PhysRevE.106.065001.

Scaling Description of Creep Flow in Amorphous Solids

M. Popovic; T. W. J. de Geus; W. Ji; A. Rosso; M. Wyart 

Physical Review Letters. 2022. Vol. 129, num. 20, p. 208001. DOI : 10.1103/PhysRevLett.129.208001.

Relative stability toward diffeomorphisms indicates performance in deep nets

L. Petrini; A. Favero; M. Geiger; M. Wyart 

Journal Of Statistical Mechanics-Theory And Experiment. 2022. Vol. 2022, num. 11, p. 114013. DOI : 10.1088/1742-5468/ac98ac.

Locality defeats the curse of dimensionality in convolutional teacher-student scenarios*

A. Favero; F. Cagnetta; M. Wyart 

Journal Of Statistical Mechanics-Theory And Experiment. 2022. Vol. 2022, num. 11, p. 114012. DOI : 10.1088/1742-5468/ac98ab.

E(3)-equivariant graph neural networks for data-efficient and accurate interatomic potentials

S. Batzner; A. Musaelian; L. Sun; M. Geiger; J. P. Mailoa et al. 

Nature Communications. 2022. Vol. 13, num. 1, p. 2453. DOI : 10.1038/s41467-022-29939-5.

Microscopic interplay of temperature and disorder of a one-dimensional elastic interface

N. Caballero; T. Giamarchi; V. Lecomte; E. Agoritsas 

Physical Review E. 2022. Vol. 105, p. 044138. DOI : 10.1103/PhysRevE.105.044138.

Bottlenecks, Modularity, and the Neural Control of Behavior

A. Nande; V. Dubinkina; R. Ravasio; G. H. Zhang; G. J. Berman 

Frontiers In Behavioral Neuroscience. 2022. Vol. 16, p. 835753. DOI : 10.3389/fnbeh.2022.835753.

Mean-field description for the architecture of low-energy excitations in glasses

W. Ji; T. de Geus; E. Agoritsas; M. Wyart 

Physical Review E. 2022. Vol. 105, p. 044601. DOI : 10.1103/PhysRevE.105.044601.

High-dimensional optimization under nonconvex excluded volume constraints

A. Sclocchi; P. Urbani 

Physical Review E. 2022. Vol. 105, num. 2, p. 024134. DOI : 10.1103/PhysRevE.105.024134.

Conference Papers

Failure and success of the spectral bias prediction for Laplace Kernel Ridge Regression: the case of low-dimensional data

U. M. Tomasini; A. Sclocchi; M. Wyart 

2022. 38th International Conference on Machine Learning (ICML), Baltimore, MD, Jul 17-23, 2022.

Posters

Learning sparse features can lead to overfitting in neural networks

L. Petrini; F. Cagnetta; E. Vanden-Eijnden; M. Wyart 

36th Conference on Neural Information Processing Systems (NeurIPS 2022), New Orleans, USA, Nov 28-Dec 3, 2022.

2021

Journal Articles

Work fluctuations in the active Ornstein-Uhlenbeck particle model

M. Semeraro; A. Suma; I. Petrelli; F. Cagnetta; G. Gonnella 

Journal Of Statistical Mechanics-Theory And Experiment. 2021. Vol. 2021, num. 12, p. 123202. DOI : 10.1088/1742-5468/ac3d37.

Supersymmetries in nonequilibrium Langevin dynamics

B. Marguet; E. Agoritsas; L. Canet; V. Lecomte 

Physical Review E. 2021. Vol. 104, p. 044120. DOI : 10.1103/PhysRevE.104.044120.

Field-dependent roughness of moving domain walls in a Pt/Co/Pt magnetic thin film

M. J. Cortés Burgos; P. C. Guruciaga; D. Jordán; C. P. Quinteros; E. Agoritsas et al. 

Physical Review. 2021. Vol. B104, num. 14, p. 144202. DOI : 10.1103/PhysRevB.104.144202.

Thermally activated flow in models of amorphous solids

M. Popovic; T. W. J. de Geus; W. Ji; M. Wyart 

Physical Review E. 2021. Vol. 104, num. 2, p. 025010. DOI : 10.1103/PhysRevE.104.025010.

A numerical study of the statistics of roughness parameters for fluctuating interfaces

S. Bustingorry; J. Guyonnet; P. Paruch; E. Agoritsas 

Journal of Physics: Condensed Matter. 2021. Vol. 33, num. 34, p. 345001. DOI : 10.1088/1361-648X/ac0b20.

Predictors and predictands of linear response in spatially extended systems

U. M. Tomasini; V. Lucarini 

European Physical Journal-Special Topics. 2021. Vol. 230, p. 2813 – 2832. DOI : 10.1140/epjs/s11734-021-00158-1.

Nonlocal Effects Reflect the Jamming Criticality in Frictionless Granular Flows Down Inclines

H. Perrin; M. Wyart; B. Metzger; Y. Forterre 

Physical Review Letters. 2021. Vol. 126, num. 22, p. 228002. DOI : 10.1103/PhysRevLett.126.228002.

How isotropic kernels perform on simple invariants

J. Paccolat; S. Spigler; M. Wyart 

Machine Learning-Science And Technology. 2021. Vol. 2, num. 2, p. 025020. DOI : 10.1088/2632-2153/abd485.

Landscape and training regimes in deep learning

M. Geiger; L. Petrini; M. Wyart 

Physics Reports. 2021. Vol. 924, p. 1 – 18. DOI : 10.1016/j.physrep.2021.04.001.

Geometric compression of invariant manifolds in neural networks

J. Paccolat; L. Petrini; M. Geiger; K. Tyloo; M. Wyart 

Journal Of Statistical Mechanics-Theory And Experiment. 2021. Vol. 2021, num. 4, p. 044001. DOI : 10.1088/1742-5468/abf1f3.

Self-organized patterning of cell morphology via mechanosensitive feedback

N. A. Dye; M. Popovic; K. V. Iyer; J. F. Fuhrmann; R. Piscitello-Gomez et al. 

Elife. 2021. Vol. 10, p. e57964. DOI : 10.7554/eLife.57964.

Mean-field dynamics of infinite-dimensional particle systems: global shear versus random local forcing

E. Agoritsas 

Journal of Statistical Mechanics: Theory and Experiment. 2021. Vol. 2021, p. 033501. DOI : 10.1088/1742-5468/abdd18.

Inferring the flow properties of epithelial tissues from their geometry

M. Popovic; V. Druelle; N. A. Dye; F. Juelicher; M. Wyart 

New Journal Of Physics. 2021. Vol. 23, num. 3, p. 033004. DOI : 10.1088/1367-2630/abcbc7.

Hydrodynamic-driven morphogenesis of karst draperies: spatio-temporal analysis of the two-dimensional impulse response

P. G. Ledda; G. Balestra; G. Lerisson; B. Scheid; M. Wyart et al. 

Journal of Fluid Mechanics. 2021. Vol. 910, p. A53. DOI : 10.1017/jfm.2020.1010.

Finding symmetry breaking order parameters with Euclidean neural networks

T. E. Smidt; M. Geiger; B. K. Miller 

Physical Review Research. 2021. Vol. 3, num. 1, p. L012002. DOI : 10.1103/PhysRevResearch.3.L012002.

A direct link between active matter and sheared granular systems

P. K. Morse; S. Roy; E. Agoritsas; E. Stanifer; E. I. Corwin et al. 

Proceedings Of The National Academy Of Sciences Of The United States Of America (PNAS). 2021. Vol. 118, num. 18, p. e2019909118. DOI : 10.1073/pnas.2019909118.

Theses

Local excitations in amorphous solids

W. Ji / M. Wyart (Dir.)  

Lausanne, EPFL, 2021. 

Loss landscape and symmetries in Neural Networks

M. Geiger / M. Wyart (Dir.)  

Lausanne, EPFL, 2021. 

Posters

Relative stability toward diffeomorphisms indicates performance in deep nets

L. Petrini; A. Favero; M. Geiger; M. Wyart 

35th Conference on Neural Information Processing Systems (NeurIPS 2021), Online, Decembre 6-14, 2021.

Locality defeats the curse of dimensionality in convolutional teacher-student scenarios

A. Favero; F. Cagnetta; M. Wyart 

35th Conference on Neural Information Processing Systems (NeurIPS 2021), Online, Decembre 6-14, 2021.

2020

Journal Articles

Thermal origin of quasilocalized excitations in glasses

W. Ji; T. W. J. de Geus; M. Popovic; E. Agoritsas; M. Wyart 

Physical Review E. 2020. Vol. 102, num. 6, p. 062110. DOI : 10.1103/PhysRevE.102.062110.

Asymptotic learning curves of kernel methods: empirical data versus teacher-student paradigm

S. Spigler; M. Geiger; M. Wyart 

Journal Of Statistical Mechanics-Theory And Experiment. 2020. Vol. 2020, num. 12, p. 124001. DOI : 10.1088/1742-5468/abc61d.

Disentangling feature and lazy training in deep neural networks

M. Geiger; S. Spigler; A. Jacot; M. Wyart 

Journal Of Statistical Mechanics-Theory And Experiment. 2020. Vol. 2020, num. 11, p. 113301. DOI : 10.1088/1742-5468/abc4de.

Improving the initial guess for the Newton-Raphson protocol in time-dependent simulations

J. C. Volmer; T. W. J. de Geus; R. H. J. Peerlings 

Journal Of Computational Physics. 2020. Vol. 420, p. 109721. DOI : 10.1016/j.jcp.2020.109721.

From bulk descriptions to emergent interfaces: Connecting the Ginzburg-Landau and elastic-line models

N. Caballero; E. Agoritsas; V. Lecomte; T. Giamarchi 

Physical Review B. 2020. Vol. 102, num. 10, p. 104204. DOI : 10.1103/PhysRevB.102.104204.

Energy-based comparison between the Fourier-Galerkin method and the finite element method

J. Vondrejc; T. W. J. de Geus 

Journal Of Computational And Applied Mathematics. 2020. Vol. 374, p. 112585. DOI : 10.1016/j.cam.2019.112585.

Systematic model reduction captures the dynamics of extrinsic noise in biochemical subnetworks

B. Bravi; K. J. Rubin; P. Sollich 

Journal Of Chemical Physics. 2020. Vol. 153, num. 2, p. 025101. DOI : 10.1063/5.0008304.

Jamming with Tunable Roughness

H. Ikeda; C. Brito; M. Wyart; F. Zamponi 

Physical Review Letters. 2020. Vol. 124, num. 20, p. 208001. DOI : 10.1103/PhysRevLett.124.208001.

Direct coupling analysis of epistasis in allosteric materials

B. Bravi; R. Ravasio; C. Brito; M. Wyart 

Plos Computational Biology. 2020. Vol. 16, num. 3, p. e1007630. DOI : 10.1371/journal.pcbi.1007630.

Infinitesimal asphericity changes the universality of the jamming transition

H. Ikeda; C. Brito; M. Wyart 

Journal Of Statistical Mechanics-Theory And Experiment. 2020. Vol. 2020, num. 3, p. 033302. DOI : 10.1088/1742-5468/ab74cb.

Scaling description of generalization with number of parameters in deep learning

M. Geiger; A. Jacot; S. Spigler; F. Gabriel; L. Sagun et al. 

Journal Of Statistical Mechanics-Theory And Experiment. 2020. Vol. 2020, num. 2, p. 023401. DOI : 10.1088/1742-5468/ab633c.

Theses

Mechanics and co-evolution of allosteric materials and proteins

R. Ravasio / M. Wyart (Dir.)  

Lausanne, EPFL, 2020. 

2019

Journal Articles

Comparing dynamics: deep neural networks versus glassy systems

M. Baity-Jesi; L. Sagun; M. Geiger; S. Spigler; G. Ben Arpus et al. 

Journal Of Statistical Mechanics-Theory And Experiment. 2019. Vol. 2019, num. 12, p. 124013. DOI : 10.1088/1742-5468/ab3281.

How collective asperity detachments nucleate slip at frictional interfaces

T. W. J. de Geus; M. Popovic; W. Ji; A. Rosso; M. Wyart 

Proceedings Of The National Academy Of Sciences Of The United States Of America (PNAS). 2019. Vol. 116, num. 48, p. 23977 – 23983. DOI : 10.1073/pnas.1906551116.

A jamming transition from under- to over-parametrization affects generalization in deep learning

S. Spigler; M. Geiger; S. d’Ascoli; L. Sagun; G. Biroli et al. 

Journal Of Physics A-Mathematical And Theoretical. 2019. Vol. 52, num. 47, p. 474001. DOI : 10.1088/1751-8121/ab4c8b.

Mechanics of Allostery: Contrasting the Induced Fit and Population Shift Scenarios

R. Ravasio; S. M. Flatt; L. Yan; S. Zamuner; C. Brito et al. 

Biophysical Journal. 2019. Vol. 117, num. 10, p. 1954 – 1962. DOI : 10.1016/j.bpj.2019.10.002.

Maximum-energy records in glassy energy landscapes

I. Hartarsky; M. Baity-Jesi; R. Ravasio; A. Billoire; G. Biroli 

Journal Of Statistical Mechanics-Theory And Experiment. 2019.  p. 093302. DOI : 10.1088/1742-5468/ab38bf.

Interparticle Friction Leads to Nonmonotonic Flow Curves and Hysteresis in Viscous Suspensions

H. Perrin; C. Clavaud; M. Wyart; B. Metzger; Y. Forterre 

Physical Review X (PRX). 2019. Vol. 9, num. 3, p. 031027. DOI : 10.1103/PhysRevX.9.031027.

Out-of-equilibrium dynamical equations of infinite-dimensional particle systems. II. The anisotropic case under shear strain

E. Agoritsas; T. Maimbourg; F. Zamponi 

Journal Of Physics A-Mathematical And Theoretical. 2019. Vol. 52, num. 33, p. 334001. DOI : 10.1088/1751-8121/ab2b68.

Jamming transition as a paradigm to understand the loss landscape of deep neural networks

M. Geiger; S. Spigler; S. d’Ascoli; L. Sagun; M. Baity-Jesi et al. 

Physical Review E. 2019. Vol. 100, num. 1, p. 012115. DOI : 10.1103/PhysRevE.100.012115.

Out-of-equilibrium dynamical equations of infinite-dimensional particle systems I. The isotropic case

E. Agoritsas; T. Maimbourg; F. Zamponi 

Journal Of Physics A-Mathematical And Theoretical. 2019. Vol. 52, num. 14, p. 144002. DOI : 10.1088/1751-8121/ab099d.

Theory for the density of interacting quasilocalized modes in amorphous solids

W. Ji; M. Popovic; T. W. J. de Geus; E. Lerner; M. Wyart 

Physical Review E. 2019. Vol. 99, num. 2, p. 023003. DOI : 10.1103/PhysRevE.99.023003.

Fast generation of ultrastable computer glasses by minimization of an augmented potential energy

G. Kapteijns; W. Ji; C. Brito; M. Wyart; E. Lerner 

Physical Review E. 2019. Vol. 99, num. 1, p. 012106. DOI : 10.1103/PhysRevE.99.012106.

Conference Papers

A General Theory of Equivariant CNNs on Homogeneous Spaces

T. S. Cohen; M. Geiger; M. Weiler 

2019. 33rd Conference on Neural Information Processing Systems (NeurIPS), Vancouver, CANADA, Dec 08-14, 2019.

Reviews

Allostery in Its Many Disguises: From Theory to Applications

S. J. Wodak; E. Paci; N. V. Dokholyan; I. N. Berezovsky; A. Horovitz et al. 

Structure. 2019. Vol. 27, num. 4, p. 566 – 578. DOI : 10.1016/j.str.2019.01.003.

2018

Journal Articles

Spatial structure of quasilocalized vibrations in nearly jammed amorphous solids

M. Shimada; H. Mizuno; M. Wyart; A. Ikeda 

Physical Review E. 2018. Vol. 98, num. 6, p. 060901. DOI : 10.1103/PhysRevE.98.060901.

Universality of jamming of nonspherical particles

C. Brito; H. Ikeda; P. Urbani; M. Wyart; F. Zamponi 

Proceedings Of The National Academy Of Sciences Of The United States Of America (PNAS). 2018. Vol. 115, num. 46, p. 11736 – 11741. DOI : 10.1073/pnas.1812457115.

Elastoplastic description of sudden failure in athermal amorphous materials during quasistatic loading

M. Popovic; T. W. J. de Geus; M. Wyart 

Physical Review E. 2018. Vol. 98, num. 4, p. 040901. DOI : 10.1103/PhysRevE.98.040901.

Theory for Swap Acceleration near the Glass and Jamming Transitions for Continuously Polydisperse Particles

C. Brito; E. Lerner; M. Wyart 

Physical Review X (PRX). 2018. Vol. 8, num. 3, p. 031050. DOI : 10.1103/PhysRevX.8.031050.

Principles for Optimal Cooperativity in Allosteric Materials

L. Yan; R. Ravasio; C. Brito; M. Wyart 

Biophysical Journal. 2018. Vol. 114, num. 12, p. 2787 – 2798. DOI : 10.1016/j.bpj.2018.05.015.

Shear fronts in shear-thickening suspensions

E. Han; M. Wyart; I. Peters; H. Jaeger 

Physical Review Fluids. 2018. Vol. 3, num. 7, p. 073301. DOI : 10.1103/PhysRevFluids.3.073301.

Microscopic processes controlling the Herschel-Bulkley exponent

J. Lin; M. Wyart 

Physical Review E. 2018. Vol. 97, num. 1, p. 012603. DOI : 10.1103/PhysRevE.97.012603.

Conference Papers

3D Steerable CNNs: Learning Rotationally Equivariant Features in Volumetric Data

M. Weiler; M. Geiger; M. Welling; W. Boomsma; T. Cohen 

2018. 32nd Conference on Neural Information Processing Systems (NIPS), Montreal, CANADA, Dec 02-08, 2018.

Comparing Dynamics: Deep Neural Networks versus Glassy Systems

M. Baity-Jesi; L. D. Sagun; M. Geiger; S. Spigler; G. Ben Arous et al. 

2018. 35th International Conference on Machine Learning (ICML), Stockholm, Sweden, July 10-15, 2018. p. 314 – 323.

2017

Journal Articles

Statistical physics approaches to subnetwork dynamics in biochemical systems

B. Bravi; P. Sollich 

Physical Biology. 2017. Vol. 14, num. 4, p. 045010. DOI : 10.1088/1478-3975/aa7363.

Does a Growing Static Length Scale Control the Glass Transition?

M. Wyart; M. E. Cates 

Physical Review Letters. 2017. Vol. 119, num. 19, p. 195501. DOI : 10.1103/PhysRevLett.119.195501.

Finite strain FFT-based non-linear solvers made simple

T. W. J. De Geus; J. Vondrejc; J. Zeman; R. H. J. Peerlings; M. G. D. Geers 

Computer Methods In Applied Mechanics And Engineering. 2017. Vol. 318, p. 412 – 430. DOI : 10.1016/j.cma.2016.12.032.

Architecture and coevolution of allosteric materials

L. Yan; R. Ravasio; C. Brito; M. Wyart 

Proceedings Of The National Academy Of Sciences Of The United States Of America (PNAS). 2017. Vol. 114, num. 10, p. 2526 – 2531. DOI : 10.1073/pnas.1615536114.

Scaling description of non-local rheology

T. Gueudre; J. Lin; A. Rosso; M. Wyart 

Soft Matter. 2017. Vol. 13, num. 20, p. 3794 – 3801. DOI : 10.1039/c7sm00434f.

Effect of friction on dense suspension flows of hard particles

M. Trulsson; E. Degiuli; M. Wyart 

Physical Review E. 2017. Vol. 95, num. 1, p. 012605. DOI : 10.1103/PhysRevE.95.012605.

Friction law and hysteresis in granular materials

E. Degiuli; M. Wyart 

Proceedings Of The National Academy Of Sciences Of The United States Of America (PNAS). 2017. Vol. 114, num. 35, p. 9284 – 9289. DOI : 10.1073/pnas.1706105114.

2016

Journal Articles

Evidence for Marginal Stability in Emulsions

J. Lin; I. Jorjadze; L-L. Pontani; M. Wyart; J. Brujic 

Physical Review Letters. 2016. Vol. 117, num. 20, p. 208001. DOI : 10.1103/PhysRevLett.117.208001.

Model for the erosion onset of a granular bed sheared by a viscous fluid

L. Yan; A. Barizien; M. Wyart 

Physical Review E. 2016. Vol. 93, num. 1, p. 012903. DOI : 10.1103/PhysRevE.93.012903.

On variational arguments for vibrational modes near jamming

L. Yan; E. Degiuli; M. Wyart 

Europhysics Letters – European Physical Society Letters (EPL). 2016. Vol. 114, num. 2, p. 26003. DOI : 10.1209/0295-5075/114/26003.

Comment on “What Determines the Static Force Chains in Stressed Granular Media?”

E. Degiuli; J. N. Mcelwaine 

Physical Review Letters. 2016. Vol. 117, num. 15, p. 159801. DOI : 10.1103/PhysRevLett.117.159801.

Scaling for hard-sphere colloidal glasses near jamming

R. Zargar; E. Degiuli; D. Bonn 

Europhysics Letters – European Physical Society Letters (EPL). 2016. Vol. 116, num. 6, p. 68004. DOI : 10.1209/0295-5075/116/68004.

On variational arguments for vibrational modes near jamming (vol 114, 26003, 2016)

L. Yan; E. Degiuli; M. Wyart 

Europhysics Letters – European Physical Society Letters (EPL). 2016. Vol. 114, num. 3, p. 39901. DOI : 10.1209/0295-5075/114/39901.

Phase diagram for inertial granular flows

E. Degiuli; J. N. Mcelwaine; M. Wyart 

Physical Review E. 2016. Vol. 94, num. 1, p. 012904. DOI : 10.1103/PhysRevE.94.012904.

Unsteady flow and particle migration in dense, non-Brownian suspensions

M. Hermes; B. M. Guy; W. C. K. Poon; G. Poy; M. E. Cates et al. 

Journal of Rheology. 2016. Vol. 60, num. 5, p. 905 – 916. DOI : 10.1122/1.4953814.

Effect of particle collisions in dense suspension flows

G. During; E. Lerner; M. Wyart 

Physical Review E. 2016. Vol. 94, num. 2, p. 022601. DOI : 10.1103/PhysRevE.94.022601.

Scale-free channeling patterns near the onset of erosion of sheared granular beds

P. Aussillous; Z. Zou; É. Guazzelli; L. Yan; M. Wyart 

Proceedings Of The National Academy Of Sciences Of The United States Of America (PNAS). 2016. Vol. 113, num. 42, p. 11788 – 11793. DOI : 10.1073/pnas.1609023113.

Mean-Field Description of Plastic Flow in Amorphous Solids

J. Lin; M. Wyart 

Physical Review X (PRX). 2016. Vol. 6, num. 1, p. 011005. DOI : 10.1103/PhysRevX.6.011005.

2015

Journal Articles

Dynamics and Correlations among Soft Excitations in Marginally Stable Glasses

L. Yan; M. Baity-Jesi; M. Müller; M. Wyart 

Physical Review Letters. 2015. Vol. 114, num. 24, p. 247208. DOI : 10.1103/PhysRevLett.114.247208.

Unified theory of inertial granular flows and non-Brownian suspensions

E. Degiuli; G. Düring; E. Lerner; M. Wyart 

Physical Review E. 2015. Vol. 91, num. 6, p. 062206. DOI : 10.1103/PhysRevE.91.062206.

Theory of the jamming transition at finite temperature

E. Degiuli; E. Lerner; M. Wyart 

The Journal of Chemical Physics. 2015. Vol. 142, num. 16, p. 164503. DOI : 10.1063/1.4918737.

Marginal Stability in Structural, Spin, and Electron Glasses

M. Müller; M. Wyart 

Annual Review of Condensed Matter Physics. 2015. Vol. 6, num. 1, p. 177 – 200. DOI : 10.1146/annurev-conmatphys-031214-014614.

Adaptive elastic networks as models of supercooled liquids

L. Yan; M. Wyart 

Physical Review E. 2015. Vol. 92, num. 2, p. 022310. DOI : 10.1103/PhysRevE.92.022310.

Criticality in the Approach to Failure in Amorphous Solids

J. Lin; T. Gueudre; A. Rosso; M. Wyart 

Physical Review Letters. 2015. Vol. 115, num. 16, p. 168001. DOI : 10.1103/PhysRevLett.115.168001.

2014

Journal Articles

Scaling description of the yielding transition in soft amorphous solids at zero temperature

J. Lin; E. Lerner; A. Rosso; M. Wyart 

Proceedings Of The National Academy Of Sciences Of The United States Of America (PNAS). 2014. Vol. 111, num. 40, p. 14382 – 14387. DOI : 10.1073/pnas.1406391111.

Granulation and bistability in non-Brownian suspensions

M. E. Cates; M. Wyart 

Rheologica Acta. 2014. Vol. 53, num. 10-11, p. 755 – 764. DOI : 10.1007/s00397-014-0795-x.

Length scales and self-organization in dense suspension flows

G. Düring; E. Lerner; M. Wyart 

Physical Review E. 2014. Vol. 89, num. 2, p. 022305. DOI : 10.1103/PhysRevE.89.022305.

Discontinuous Shear Thickening without Inertia in Dense Non-Brownian Suspensions

M. Wyart; M. Cates 

Physical Review Letters. 2014. Vol. 112, num. 9, p. 098302. DOI : 10.1103/PhysRevLett.112.098302.

Force distribution affects vibrational properties in hard-sphere glasses

E. Degiuli; E. Lerner; C. Brito; M. Wyart 

Proceedings Of The National Academy Of Sciences Of The United States Of America (PNAS). 2014. Vol. 111, num. 48, p. 17054 – 17059. DOI : 10.1073/pnas.1415298111.

Evolution of Covalent Networks under Cooling: Contrasting the Rigidity Window and Jamming Scenarios

L. Yan; M. Wyart 

Physical Review Letters. 2014. Vol. 113, num. 21, p. 215504. DOI : 10.1103/PhysRevLett.113.215504.

Breakdown of continuum elasticity in amorphous solids

E. Lerner; E. Degiuli; G. Düring; M. Wyart 

Soft Matter. 2014. Vol. 10, num. 28, p. 5085. DOI : 10.1039/c4sm00311j.

On the density of shear transformations in amorphous solids

J. Lin; A. Saade; E. Lerner; A. Rosso; M. Wyart 

Europhysics Letters – European Physical Society Letters (EPL). 2014. Vol. 105, num. 2, p. 26003. DOI : 10.1209/0295-5075/105/26003.

Effects of coordination and pressure on sound attenuation, boson peak and elasticity in amorphous solids

E. Degiuli; A. Laversanne-Finot; G. Düring; E. Lerner; M. Wyart 

Soft Matter. 2014. Vol. 10, num. 30, p. 5628. DOI : 10.1039/C4SM00561A.

2013

Journal Articles

Why glass elasticity affects the thermodynamics and fragility of supercooled liquids

L. Yan; G. During; M. Wyart 

Proceedings Of The National Academy Of Sciences Of The United States Of America (PNAS). 2013. Vol. 110, num. 16, p. 6307 – 6312. DOI : 10.1073/pnas.1300534110.

Low-energy non-linear excitations in sphere packings

E. Lerner; G. Düring; M. Wyart 

Soft Matter. 2013. Vol. 9, num. 34, p. 8252. DOI : 10.1039/c3sm50515d.

Simulations of driven overdamped frictionless hard spheres

E. Lerner; G. Düring; M. Wyart 

Computer Physics Communications. 2013. Vol. 184, num. 3, p. 628 – 637. DOI : 10.1016/j.cpc.2012.10.020.

Phonon gap and localization lengths in floppy materials

G. Düring; E. Lerner; M. Wyart 

Soft Matter. 2013. Vol. 9, num. 1, p. 146 – 154. DOI : 10.1039/C2SM25878A.

2012

Journal Articles

Marginal Stability Constrains Force and Pair Distributions at Random Close Packing

M. Wyart 

Physical Review Letters. 2012. Vol. 109, num. 12, p. 125502. DOI : 10.1103/PhysRevLett.109.125502.

Proprioceptive Coupling within Motor Neurons Drives C. elegans Forward Locomotion

Q. Wen; M. D. Po; E. Hulme; S. Chen; X. Liu et al. 

Neuron. 2012. Vol. 76, num. 4, p. 750 – 761. DOI : 10.1016/j.neuron.2012.08.039.

Toward a microscopic description of flow near the jamming threshold

E. Lerner; G. Düring; M. Wyart 

Europhysics Letters – European Physical Society Letters (EPL). 2012. Vol. 99, num. 5, p. 58003. DOI : 10.1209/0295-5075/99/58003.

A unified framework for non-Brownian suspension flows and soft amorphous solids

E. Lerner; G. During; M. Wyart 

Proceedings Of The National Academy Of Sciences Of The United States Of America (PNAS). 2012. Vol. 109, num. 13, p. 4798 – 4803. DOI : 10.1073/pnas.1120215109.

2011

Journal Articles

Curling instability induced by swelling

S. Douezan; M. Wyart; F. Brochard-Wyart; D. Cuvelier 

Soft Matter. 2011. Vol. 7, num. 4, p. 1506. DOI : 10.1039/c0sm00189a.

Book Chapters

The jamming scenario—an introduction and outlook

A. Liu; S. Nagel; W. van Saarloos; M. Wyart 

Dynamical Heterogeneities in Glasses, Colloids, and Granular Media; Oxford, 2011.

2010

Journal Articles

Scaling of phononic transport with connectivity in amorphous solids

M. Wyart 

Europhysics Letters – European Physical Society Letters (EPL). 2010. Vol. 89, num. 6, p. 64001. DOI : 10.1209/0295-5075/89/64001.

Biomechanical analysis of gait adaptation in the nematode Caenorhabditis elegans

C. Fang-Yen; M. Wyart; J. Xie; R. Kawai; T. Kodger et al. 

Proceedings Of The National Academy Of Sciences Of The United States Of America (PNAS). 2010. Vol. 107, num. 47, p. 20323 – 20328. DOI : 10.1073/pnas.1003016107.

Evaluating Gene Expression Dynamics Using Pairwise RNA FISH Data

M. Wyart; D. Botstein; N. S. Wingreen 

PLoS Computational Biology. 2010. Vol. 6, num. 11, p. e1000979. DOI : 10.1371/journal.pcbi.1000979.

Erratum: Correlations between Vibrational Entropy and Dynamics in Liquids [Phys. Rev. Lett

M. Wyart 

Physical Review Letters. 2010. Vol. 105, num. 7, p. 079902. DOI : 10.1103/PhysRevLett.105.079902.

Correlations between Vibrational Entropy and Dynamics in Liquids

M. Wyart 

Physical Review Letters. 2010. Vol. 104, num. 9, p. 095901. DOI : 10.1103/PhysRevLett.104.095901.

Heat transport in model jammed solids

V. Vitelli; N. Xu; M. Wyart; A. J. Liu; S. R. Nagel 

Physical Review E. 2010. Vol. 81, num. 2, p. 021301. DOI : 10.1103/PhysRevE.81.021301.

2009

Journal Articles

Geometric interpretation of previtrification in hard sphere liquids

C. Brito; M. Wyart 

The Journal of Chemical Physics. 2009. Vol. 131, num. 2, p. 024504. DOI : 10.1063/1.3157261.

Energy Transport in Jammed Sphere Packings

N. Xu; V. Vitelli; M. Wyart; A. J. Liu; S. R. Nagel 

Physical Review Letters. 2009. Vol. 102, num. 3, p. 038001. DOI : 10.1103/PhysRevLett.102.038001.

On the dependence of the avalanche angle on the granular layer thickness

M. Wyart 

Europhysics Letters – European Physical Society Letters (EPL). 2009. Vol. 85, num. 2, p. 24003. DOI : 10.1209/0295-5075/85/24003.

2008

Journal Articles

Relation between bid–ask spread, impact and volatility in order-driven markets

M. Wyart; J-P. Bouchaud; J. Kockelkoren; M. Potters; M. Vettorazzo 

Quantitative Finance. 2008. Vol. 8, num. 1, p. 41 – 57. DOI : 10.1080/14697680701344515.

Elasticity of Floppy and Stiff Random Networks

M. Wyart; H. Liang; A. Kabla; L. Mahadevan 

Physical Review Letters. 2008. Vol. 101, num. 21, p. 215501. DOI : 10.1103/PhysRevLett.101.215501.

2007

Journal Articles

Heterogeneous dynamics, marginal stability and soft modes in hard sphere glasses

C. Brito; M. Wyart 

Journal of Statistical Mechanics: Theory and Experiment. 2007. Vol. 2007, num. 08, p. L08003 – L08003. DOI : 10.1088/1742-5468/2007/08/L08003.

On the rigidity of a hard-sphere glass near random close packing

C. Brito; M. Wyart 

Europhysics Letters – European Physical Society Letters (EPL). 2007. Vol. 76, num. 1, p. 149 – 155. DOI : 10.1209/epl/i2006-10238-x.

Self-referential behaviour, overreaction and conventions in financial markets

M. Wyart; J-P. Bouchaud 

Journal of Economic Behavior & Organization. 2007. Vol. 63, num. 1, p. 1 – 24. DOI : 10.1016/j.jebo.2004.11.016.

Geometric origin of excess low-frequency vibrational modes in weakly connected amorphous solids

M. Wyart; S. R. Nagel; T. A. Witten 

Europhysics Letters – European Physical Society Letters (EPL). 2007. Vol. 72, num. 3, p. 486 – 492. DOI : 10.1209/epl/i2005-10245-5.

Erratum: On the rigidity of a hard-sphere glass near random close packing (Europhysics Letters (2006) 76:1 (149-155))

C. Brito; M. Wyart 

Europhysics Letters – European Physical Society Letters (EPL). 2007. Vol. 76, num. 5, p. 986 – 986. DOI : 10.1209/epl/i2006-10412-2.

Excess Vibrational Modes and the Boson Peak in Model Glasses

N. Xu; M. Wyart; A. J. Liu; S. R. Nagel 

Physical Review Letters. 2007. Vol. 98, num. 17, p. 175502. DOI : 10.1103/PhysRevLett.98.175502.

2005

Journal Articles

Effects of compression on the vibrational modes of marginally jammed solids

M. Wyart; L. E. Silbert; S. R. Nagel; T. A. Witten 

Physical Review E. 2005. Vol. 72, num. 5, p. 051306. DOI : 10.1103/PhysRevE.72.051306.

On the rigidity of amorphous solids

M. Wyart 

Annales de Physique. 2005. Vol. 30, num. 3, p. 1 – 96. DOI : 10.1051/anphys:2006003.

Dynamical susceptibility of glass formers: Contrasting the predictions of theoretical scenarios

C. Toninelli; M. Wyart; L. Berthier; G. Biroli; J-P. Bouchaud 

Physical Review E. 2005. Vol. 71, num. 4, p. 041505. DOI : 10.1103/PhysRevE.71.041505.

2004

Journal Articles

Fluctuations and response in financial markets: the subtle nature of ‘random’ price changes

J-P. Bouchaud; Y. Gefen; M. Potters; M. Wyart 

Quantitative Finance. 2004. Vol. 4, num. 2, p. 176 – 190. DOI : 10.1088/1469-7688/4/2/007.

2003

Journal Articles

Statistical models for company growth

M. Wyart; J-P. Bouchaud 

Physica A: Statistical Mechanics and its Applications. 2003. Vol. 326, num. 1-2, p. 241 – 255. DOI : 10.1016/S0378-4371(03)00267-X.