Daniel Hexner
Title
Cited by
Cited by
Year
Amorphous topological insulators constructed from random point sets
NP Mitchell, LM Nash, D Hexner, AM Turner, WTM Irvine
Nature Physics 14 (4), 380-385, 2018
1282018
Hyperuniformity of critical absorbing states
D Hexner, D Levine
Physical review letters 114 (11), 110602, 2015
1202015
Enhanced hyperuniformity from random reorganization
D Hexner, PM Chaikin, D Levine
Proceedings of the National Academy of Sciences 114 (17), 4294-4299, 2017
352017
Role of local response in manipulating the elastic properties of disordered solids by bond removal
D Hexner, AJ Liu, SR Nagel
Soft matter 14 (2), 312-318, 2018
252018
Noise, diffusion, and hyperuniformity
D Hexner, D Levine
Physical review letters 118 (2), 020601, 2017
252017
Two Diverging Length Scales in the Structure of Jammed Packings
D Hexner, AJ Liu, SR Nagel
Physical review letters 121 (11), 115501, 2018
242018
Tug of war in motility assay experiments
D Hexner, Y Kafri
Physical biology 6 (3), 036016, 2009
222009
Linking microscopic and macroscopic response in disordered solids
D Hexner, AJ Liu, SR Nagel
Physical Review E 97 (6), 063001, 2018
192018
Directed aging, memory, and natureós greed
N Pashine, D Hexner, AJ Liu, SR Nagel
Science Advances 5 (12), eaax4215, 2019
152019
Can a large packing be assembled from smaller ones?
D Hexner, P Urbani, F Zamponi
Phys. Rev. Lett. 123, 068003 2019, 2019
102019
Periodic training of creeping solids
D Hexner, AJ Liu, SR Nagel
Proceedings of the National Academy of Sciences 117 (50), 31690-31695, 2020
72020
Effect of directed aging on nonlinear elasticity and memory formation in a material
D Hexner, N Pashine, AJ Liu, SR Nagel
Physical Review Research 2 (4), 043231, 2020
5*2020
Entropic commensurate-incommensurate transition
N Nikola, D Hexner, D Levine
Physical review letters 110 (12), 125701, 2013
42013
A diverging length scale in the structure of jammed systems
D Hexner, A Liu, S Nagel
APS March Meeting Abstracts 2018, C47. 013, 2018
32018
Supervised learning in physical networks: From machine learning to learning machines
M Stern, D Hexner, JW Rocks, AJ Liu
arXiv preprint arXiv:2011.03861, 2020
12020
Reply to the íComment on “Spatial structure of states of self stress in jammed systems”óby E. Lerner, Soft Matter, 2017, 13
DM Sussman, D Hexner, CP Goodrich, AJ Liu
Soft matter 13 (8), 1532-1533, 2017
12017
Self-organization and self-avoiding limit cycles
D Hexner, D Levine
EPL (Europhysics Letters) 109 (3), 30004, 2015
12015
Encoding, retrieving and erasing mechanical memories in a crumpled sheet
D Shohat, D Hexner, Y Lahini
Bulletin of the American Physical Society, 2021
2021
Adaptable materials via retraining
D Hexner
arXiv preprint arXiv:2103.08235, 2021
2021
Training nonlinear elastic functions: nonmonotonic, sequence dependent and bifurcating
D Hexner
Soft Matter, 2021
2021
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Articles 1–20