450 citations · 5.2k across the 104 of their papers we have counts for
103 papers
Structural aging of a cohesive and amorphous granular solid under cyclic loading
William Hobson-Rhoades, Douglas J Durian, Yue Fan +1
We investigate how cyclic loading evolves the structure and deformation behaviors of a granular raft composed of particles floating at an air-oil interface. The raft has a disorder…
Analog Physical Systems Can Exhibit Double Descent
Sam Dillavou, Jason W Rocks, Jacob F Wycoff +2
An important component of the success of large AI models is double descent, in which networks avoid overfitting as they grow relative to the amount of training data, instead improv…
Solving the compute crisis with physics-based ASICs
Maxwell Aifer, Zach Belateche, Suraj Bramhavar +11
Escalating artificial intelligence (AI) demands expose a critical "compute crisis" characterized by unsustainable energy consumption, prohibitive training costs, and the approachin…
Understanding and Embracing Imperfection in Physical Learning Networks
Sam Dillavou, Marcelo Guzman, Andrea J. Liu +1
Performing machine learning with analog signals offers advantages in speed and energy efficiency, but sensitivity to component and measurement imperfections often foils training wi…
Collective Behavior and Memory States in Flow Networks with Tunable Bistability
Lauren E. Altman, Nadia Aguilar, Douglas J. Durian +2
Multistability-induced hysteresis has been widely studied in mechanical systems, but such behavior has proven more difficult to reproduce experimentally in flow networks. Natural f…
Disorder Enhances the Fracture Toughness of Mechanical Metamaterials
Sage Fulco, Michal K. Budzik, Hongyi Xiao +2
Mechanical metamaterials with engineered failure properties typically rely on periodic unit cell geometries or bespoke microstructures to achieve their unique properties. We demons…