activity
20132026
most citedLearning data driven discretizations for partial differential equations

558 citations · 1.1k across the 22 of their papers we have counts for

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Showing cond-mat.softShow all

7 papers · 1 filter

cond-mat.soft2025

Machine Learning the Entropy to Estimate Free Energy Differences without Sampling Transitions

Yamin Ben-Shimon, Barak Hirshberg, Yohai Bar-Sinai

Thermodynamic phase transitions, a central concept in physics and chemistry, are typically controlled by an interplay of enthalpic and entropic contributions. In most cases, the es…

cond-mat.soft2023★ 6 cited

Hidden Markov modeling of single particle diffusion with stochastic tethering

Amit Federbush, Amit Moscovich, Yohai Bar-Sinai

The statistics of the diffusive motion of particles often serve as an experimental proxy for their interaction with the environment. However, inferring the physical properties from…

cond-mat.soft2020★ 6 cited

Beyond Quality and Quantity: Contact Distribution Encodes Frictional Strength

Sam Dillavou, Yohai Bar Sinai, Michael P Brenner +1

Classically, the quantity of contact area between two bodies is considered a proxy for the force of friction. However, bond density across the interface - quality of contact…

cond-mat.soft2019★ 39 cited

Geometric charges and nonlinear elasticity of soft metamaterials

Yohai Bar-Sinai, Gabriele Librandi, Katia Bertoldi +1

Problems of flexible mechanical metamaterials, and highly deformable porous solids in general, are rich and complex due to nonlinear mechanics and nontrivial geometrical effects. W…

cond-mat.soft2019

Spatiotemporal dynamics of frictional systems: The interplay of interfacial friction and bulk elasticity

Yohai Bar-Sinai, Michael Aldam, Robert Spatschek +2

Frictional interfaces are abundant in natural and engineering systems, and predicting their behavior still poses challenges of prime scientific and technological importance. At the…

cond-mat.soft2018★ 73 cited

Machine Learning in a data-limited regime: Augmenting experiments with synthetic data uncovers order in crumpled sheets

Jordan Hoffmann, Yohai Bar-Sinai, Lisa Lee +4

Machine learning has gained widespread attention as a powerful tool to identify structure in complex, high-dimensional data. However, these techniques are ostensibly inapplicable f…

cond-mat.soft2017★ 82 cited

Local thermal energy as a structural indicator in glasses

Jacques Zylberg, Edan Lerner, Yohai Bar-Sinai +1

Identifying heterogeneous structures in glasses --- such as localized soft spots --- and understanding structure-dynamics relations in these systems remain major scientific challen…