77 citations · 107 across the 6 of their papers we have counts for
6 papers
Reinforcement Learning reveals fundamental limits on the mixing of active particles
Dominik Schildknecht, Anastasia N. Popova, Jack Stellwagen +1
The control of far-from-equilibrium physical systems, including active materials, has emerged as an important area for the application of reinforcement learning (RL) strategies to…
Persistent fluid flows defined by active matter boundaries
Zijie Qu, Dominik Schildknecht, Shahriar Shadkhoo +5
Biological systems achieve precise control over ambient fluids through the self-organization of active protein structures including flagella, cilia, and cytoskeletal networks. In a…
Phenomenological model of motility by spatiotemporal modulation of active interactions
Dominik Schildknecht, Matt Thomson
Transport at microscopic length scales is essential in biological systems and various technologies, including microfluidics. Recent experiments achieved self-organized transport ph…
Continuous ground-state degeneracy of classical dipoles on regular lattices
Dominik Schildknecht, Michael Schütt, Laura J. Heyderman +1
Dipolar interactions are crucial in the modeling of many complex magnetic systems, such as the pyrochlores and artificial spin systems. Remarkably, many classical dipolar coupled s…
Engineering Relaxation Pathways in Building Blocks of Artificial Spin Ice for Computation
Hanu Arava, Naemi Leo, Dominik Schildknecht +5
Nanomagnetic logic, which makes use of arrays of dipolar-coupled single domain nanomagnets for computation, holds promise as a low power alternative to traditional computation with…
Phase diagram of dipolar-coupled XY moments on disordered square lattices
Dominik Schildknecht, Laura J. Heyderman, Peter M. Derlet
The effects of dilution disorder and random-displacement disorder are analyzed for dipolar-coupled magnetic moments confined in a plane, which were originally placed on the square…