476 citations · 1.7k across the 31 of their papers we have counts for
6 papers · 1 filter
Learning to learn: Non-equilibrium design protocols for adaptable materials
Martin J. Falk, Jiayi Wu, Ayanna Matthews +5
Evolution in time-varying environments naturally leads to adaptable biological systems that can easily switch functionalities. Advances in the synthesis of environmentally-responsi…
Curiosity-driven search for novel non-equilibrium behaviors
Martin J. Falk, Finnegan D. Roach, William Gilpin +1
Exploring the spectrum of novel behaviors a physical system can produce can be a labor-intensive task. Active learning is a collection of iterative sampling techniques developed in…
Pattern recognition in the nucleation kinetics of non-equilibrium self-assembly
Constantine Glen Evans, Jackson O'Brien, Erik Winfree +1
Inspired by biology's most sophisticated computer, the brain, neural networks constitute a profound reformulation of computational principles. Remarkably, analogous high-dimensiona…
Non-Convex Optimization by Hamiltonian Alternation
Anuj Apte, Kunal Marwaha, Arvind Murugan
A major obstacle to non-convex optimization is the problem of getting stuck in local minima. We introduce a novel metaheuristic to handle this issue, creating an alternate Hamilton…
Learning to self-fold at a bifurcation
Chukwunonso Arinze, Menachem Stern, Sidney R. Nagel +1
Disordered mechanical systems can deform along a network of pathways that branch and recombine at special configurations called bifurcation points. Multiple pathways are accessible…
Learning without neurons in physical systems
Menachem Stern, Arvind Murugan
Learning is traditionally studied in biological or computational systems. The power of learning frameworks in solving hard inverse-problems provides an appealing case for the devel…