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Dominik Schildknecht
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Engineering relaxation pathways in building blocks of artificial spin ice for computation
H Arava, N Leo, D Schildknecht, J Cui, J Vijayakumar, PM Derlet, ...
Physical Review Applied 11 (5), 054086, 2019
652019
Collective magnetism in an artificial 2D XY spin system
N Leo, S Holenstein, D Schildknecht, O Sendetskyi, H Luetkens, ...
Nature communications 9 (1), 2850, 2018
532018
Phase diagram of dipolar-coupled XY moments on disordered square lattices
D Schildknecht, LJ Heyderman, PM Derlet
Physical Review B 98 (6), 064420, 2018
162018
Continuous ground-state degeneracy of classical dipoles on regular lattices
D Schildknecht, M Schütt, LJ Heyderman, PM Derlet
Physical Review B 100 (1), 014426, 2019
142019
Persistent fluid flows defined by active matter boundaries
Z Qu, D Schildknecht, S Shadkhoo, E Amaya, J Jiang, HJ Lee, D Larios, ...
Communications Physics 4 (198), 2021
102021
Phenomenological model of motility by spatiotemporal modulation of active interactions
D Schildknecht, M Thomson
New Journal of Physics 23, 083001, 2021
32021
Reinforcement learning reveals fundamental limits on the mixing of active particles
D Schildknecht, AN Popova, J Stellwagen, M Thomson
Soft Matter 18 (3), 617-625, 2022
22022
Linear Transformations in Autoencoder Latent Space Predict Time Translations in Active Matter System
E Amaya, S Shadkhoo, D Schildknecht, M Thomson
NeurIPS 2021 AI for Science Workshop, 2021
2021
Continuous dipolar moments on regular lattices: a combined Monte Carlo and group theoretical treatment
D Schildknecht
ETH Zurich, 2019
2019
Electronic Supplemental Information for “Reinforcement Learning reveals fundamental limits on the mixing of active particles”
D Schildknecht, AN Popova, J Stellwagen, M Thomson
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Articles 1–10