Machine learning algorithms
Recent Publications in mechanochemistry
2015
Cubuk, S. S. Schoenholz, Rieser, Malone, Rottler, Durian, Kaxiras, Liu. Identifying Structural Flow Defects in Disordered Solids Using Machine-Learning Methods. Physical Review Letters. 2015;114:108001.
Cubuk, S. S. Schoenholz, Rieser, Malone, Rottler, Durian, Kaxiras, Liu. Identifying Structural Flow Defects in Disordered Solids Using Machine-Learning Methods. Physical Review Letters. 2015;114:108001.
Ostadhossein A, Cubuk ED, Tritsaris GA, Kaxiras E, Zhang S, Duin ACT. Stress effects on the initial lithiation of crystalline silicon nanowires: reactive molecular dynamics simulations using ReaxFF. Physical Chemistry Chemical Physics. 2015;17:3832–3840.
Ostadhossein A, Cubuk ED, Tritsaris GA, Kaxiras E, Zhang S, Duin ACT. Stress effects on the initial lithiation of crystalline silicon nanowires: reactive molecular dynamics simulations using ReaxFF. Physical Chemistry Chemical Physics. 2015;17:3832–3840.
2012
Zhao K, Tritsaris G, Pharr M, Wang W, Okeke O, Suo Z, Vlassak J, Kaxiras E. Reactive Flow in Silicon Electrodes Assisted by the Insertion of Lithium. NanoLetters. 2012;12:4397–4403.
Zhao K, Tritsaris G, Pharr M, Wang W, Okeke O, Suo Z, Vlassak J, Kaxiras E. Reactive Flow in Silicon Electrodes Assisted by the Insertion of Lithium. NanoLetters. 2012;12:4397–4403.
OUR WORK
We have worked on the effects that chemical impurities have on the large-scale mechanical behavior of solids; these may include significant changes like a transition from brittle to ductile response to external load.