232 citations · 877 across the 30 of their papers we have counts for
30 papers
A perspective on fluid mechanical environments for challenges in reinforcement learning
Shruti Mishra, Michael Chang, Vamsi Spandan +1
We consider the challenge of developing agents that efficiently interact with high-dimensional, evolving environments, towards a view of practical reinforcement learning (RL) agent…
Air Drag Controls the Finite-Time Singularity of Euler's Disk
Benjamin G. Thorne, Ahmad Zareei, Kausalya Mahadevan +2
The motion of a disk spinning to rest after being tipped on its side is a classic example of a finite-time singularity, yet the dominant dissipation mechanism governing this proces…
Harnessing intuitive local evolution rules for physical learning
Roie Ezraty, Menachem Stern, Shmuel M. Rubinstein
Machine Learning, however popular and accessible, is computationally intensive and highly power-consuming, prompting interest in alternative physical implementations of learning ta…
A Universal Localized Failure Mechanism for Real Cylindrical Shells
Nicholas L. Cuccia, Marec Serlin, Kshitij K. Yadav +3
From cell development to space rockets, the mechanical stability of thin shells is crucial across many industrial and natural processes. However, predicting shells' failure propert…
How Material Heterogeneity Creates Rough Fractures
Will Steinhardt, Shmuel M. Rubinstein
Fractures are a critical process in how materials wear, weaken, and fail whose unpredictable behavior can have dire consequences. While the behavior of smooth cracks in ideal mater…
Energy transfer and vortex structures: Visualizing the incompressible turbulent energy cascade
Ryan McKeown, Alain Pumir, Shmuel M. Rubinstein +2
The transfer of kinetic energy from large to small scales is a hallmark of turbulent flows. Yet, a precise mechanistic description of this transfer, which is expected to occur via…