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J Rottler

Showing results (1-10 of 6) with videos related to

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Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|December 12, 2001
Yield conditions for deformation of amorphous polymer glassesJ Rottler, M O Robbins
Physical Review. E|October 15, 2016
Plastic response and correlations in athermally sheared amorphous solidsF Puosi, J Rottler, J-L Barrat
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|May 16, 2014
Time-dependent elastic response to a local shear transformation in amorphous solidsF Puosi, J Rottler, J-L Barrat
The Journal of Chemical Physics|October 23, 2020
Energy barriers and cooperative motion at the surface of freestanding glassy polystyrene filmsD Fujimoto, W A MacFarlane, J Rottler
Klinische Monatsblatter Fur Augenheilkunde|March 11, 2010
[Reduced availability of potential cornea donors: reasons and suggestions]K Rosenbaum, J Rottler, R Steinbach, et al.
Physical Review Letters|March 28, 2015
Identifying structural flow defects in disordered solids using machine-learning methodsE D Cubuk, S S Schoenholz, J M Rieser, et al.
Pageof 1

Showing results (1-10 of 6) with videos related to

Sort By:
Pageof 1
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|December 12, 2001
Yield conditions for deformation of amorphous polymer glassesJ Rottler, M O Robbins
Physical Review. E|October 15, 2016
Plastic response and correlations in athermally sheared amorphous solidsF Puosi, J Rottler, J-L Barrat
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|May 16, 2014
Time-dependent elastic response to a local shear transformation in amorphous solidsF Puosi, J Rottler, J-L Barrat
The Journal of Chemical Physics|October 23, 2020
Energy barriers and cooperative motion at the surface of freestanding glassy polystyrene filmsD Fujimoto, W A MacFarlane, J Rottler
Klinische Monatsblatter Fur Augenheilkunde|March 11, 2010
[Reduced availability of potential cornea donors: reasons and suggestions]K Rosenbaum, J Rottler, R Steinbach, et al.
Physical Review Letters|March 28, 2015
Identifying structural flow defects in disordered solids using machine-learning methodsE D Cubuk, S S Schoenholz, J M Rieser, et al.
Pageof 1