Articles with public access mandates - Douglas J. DurianLearn more
Available somewhere: 43
Identifying structural flow defects in disordered solids using machine-learning methods
ED Cubuk, SS Schoenholz, JM Rieser, BD Malone, J Rottler, DJ Durian, ...
Physical review letters 114 (10), 108001, 2015
Mandates: US Department of Energy
Structure-property relationships from universal signatures of plasticity in disordered solids
ED Cubuk, RJS Ivancic, SS Schoenholz, DJ Strickland, A Basu, ...
Science 358 (6366), 1033-1037, 2017
Mandates: US National Science Foundation, US National Institutes of Health, US …
Demonstration of decentralized physics-driven learning
S Dillavou, M Stern, AJ Liu, DJ Durian
Physical Review Applied 18 (1), 014040, 2022
Mandates: US National Science Foundation, US Department of Energy
Rheology of sediment transported by a laminar flow
M Houssais, CP Ortiz, DJ Durian, DJ Jerolmack
Physical Review E 94 (6), 062609, 2016
Mandates: US National Science Foundation, US National Institutes of Health
Divergence of Voronoi cell anisotropy vector: a threshold-free characterization of local structure in amorphous materials
JM Rieser, CP Goodrich, AJ Liu, DJ Durian
Physical review letters 116 (8), 088001, 2016
Mandates: US National Science Foundation
Effect of interstitial fluid on the fraction of flow microstates that precede clogging in granular hoppers
J Koivisto, DJ Durian
Physical Review E 95 (3), 032904, 2017
Mandates: US National Science Foundation
The sands of time run faster near the end
J Koivisto, DJ Durian
Nature communications 8 (1), 15551, 2017
Mandates: US National Science Foundation
Intermittency and velocity fluctuations in hopper flows prone to clogging
CC Thomas, DJ Durian
Physical Review E 94 (2), 022901, 2016
Mandates: US National Science Foundation
Friction controls even submerged granular flows
J Koivisto, M Korhonen, M Alava, CP Ortiz, DJ Durian, A Puisto
Soft Matter 13 (41), 7657-7664, 2017
Mandates: US National Science Foundation, Academy of Finland
Desynchronous learning in a physics-driven learning network
JF Wycoff, S Dillavou, M Stern, AJ Liu, DJ Durian
The Journal of Chemical Physics 156 (14), 2022
Mandates: US National Science Foundation
Machine learning characterization of structural defects in amorphous packings of dimers and ellipses
M Harrington, AJ Liu, DJ Durian
Physical Review E 99 (2), 022903, 2019
Mandates: US National Science Foundation
Dynamics and thermodynamics of air-driven active spinners
S Farhadi, S Machaca, J Aird, BOT Maldonado, S Davis, PE Arratia, ...
Soft matter 14 (27), 5588-5594, 2018
Mandates: US National Science Foundation
Physical learning beyond the quasistatic limit
M Stern, S Dillavou, MZ Miskin, DJ Durian, AJ Liu
Physical Review Research 4 (2), L022037, 2022
Mandates: US National Science Foundation, US Department of Energy, US Department of …
Border-crossing model for the diffusive coarsening of two-dimensional and quasi-two-dimensional wet foams
CD Schimming, DJ Durian
Physical Review E 96 (3), 032805, 2017
Mandates: US National Aeronautics and Space Administration
Strain localization and failure of disordered particle rafts with tunable ductility during tensile deformation
H Xiao, RJS Ivancic, DJ Durian
Soft Matter 16 (35), 8226-8236, 2020
Mandates: US National Science Foundation
Note: Eliminating stripe artifacts in light-sheet fluorescence imaging
SM Salili, M Harrington, DJ Durian
Review of Scientific Instruments 89 (3), 2018
Mandates: US National Science Foundation
Anisotropic particles strengthen granular pillars under compression
M Harrington, DJ Durian
Physical Review E 97 (1), 012904, 2018
Mandates: US National Science Foundation
Structuro-elasto-plasticity model for large deformation of disordered solids
G Zhang, H Xiao, E Yang, RJS Ivancic, SA Ridout, RA Riggleman, ...
Physical Review Research 4 (4), 043026, 2022
Mandates: US National Science Foundation
Probing Gardner physics in an active quasithermal pressure-controlled granular system of noncircular particles
H Xiao, AJ Liu, DJ Durian
Physical Review Letters 128 (24), 248001, 2022
Mandates: US National Science Foundation
Soft matter dynamics: A versatile microgravity platform to study dynamics in soft matter
P Born, M Braibanti, L Cristofolini, S Cohen-Addad, DJ Durian, ...
Review of Scientific Instruments 92 (12), 2021
Mandates: US National Aeronautics and Space Administration
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