# Machine learning algorithms ## Recent Publications in mechanochemistry Download 3 citations download- [BibTeX](/bibcite/export?pager_style=no_pager&number_of_items=6&sort_field=bibcite_year--desc&taxonomy_filters%5Bfield_hwp_c_topic%5D%5B0%5D%5Btarget_id%5D=14361&&&format=bibtex) - [EndNote X3 XML](/bibcite/export?pager_style=no_pager&number_of_items=6&sort_field=bibcite_year--desc&taxonomy_filters%5Bfield_hwp_c_topic%5D%5B0%5D%5Btarget_id%5D=14361&&&format=endnote8) - [EndNote 7 XML](/bibcite/export?pager_style=no_pager&number_of_items=6&sort_field=bibcite_year--desc&taxonomy_filters%5Bfield_hwp_c_topic%5D%5B0%5D%5Btarget_id%5D=14361&&&format=endnote7) - [Endnote tagged](/bibcite/export?pager_style=no_pager&number_of_items=6&sort_field=bibcite_year--desc&taxonomy_filters%5Bfield_hwp_c_topic%5D%5B0%5D%5Btarget_id%5D=14361&&&format=tagged) - [Marc](/bibcite/export?pager_style=no_pager&number_of_items=6&sort_field=bibcite_year--desc&taxonomy_filters%5Bfield_hwp_c_topic%5D%5B0%5D%5Btarget_id%5D=14361&&&format=marc) - [PubMedId](/bibcite/export?pager_style=no_pager&number_of_items=6&sort_field=bibcite_year--desc&taxonomy_filters%5Bfield_hwp_c_topic%5D%5B0%5D%5Btarget_id%5D=14361&&&format=pubmed_id) - [RIS](/bibcite/export?pager_style=no_pager&number_of_items=6&sort_field=bibcite_year--desc&taxonomy_filters%5Bfield_hwp_c_topic%5D%5B0%5D%5Btarget_id%5D=14361&&&format=ris) ### 2015 Cubuk, S. S. Schoenholz, Rieser, Malone, Rottler, Durian, Kaxiras, Liu. [Identifying Structural Flow Defects in Disordered Solids Using Machine-Learning Methods](/publications/identifying-structural-flow-defects-disordered-solids-using-machine). 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](/publications/identifying-structural-flow-defects-disordered-solids-using-machine). Physical Review Letters. 2015;114:108001. - add\_circle do\_not\_disturb\_on Abstract - [ picture\_as\_pdf2015\_physrevlett.114.1080...](/sites/g/files/omnuum11321/files/efthimios_kaxiras/files/2015_physrevlett.114.108001.pdf) We use machine-learning methods on local structure to identify flow defects—or particles susceptible to rearrangement—in jammed and glassy systems. We apply this method successfully to two very different systems: a two-dimensional experimental realization... - [ picture\_as\_pdf2015\_physrevlett.114.1080...](/sites/g/files/omnuum11321/files/efthimios_kaxiras/files/2015_physrevlett.114.108001.pdf) 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](/publications/stress-effects-initial-lithiation-crystalline-silicon-nanowires). 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](/publications/stress-effects-initial-lithiation-crystalline-silicon-nanowires). Physical Chemistry Chemical Physics. 2015;17:3832–3840. - add\_circle do\_not\_disturb\_on Abstract - [ picture\_as\_pdf2015\_pccp\_17\_3832-3840.pd...](/sites/g/files/omnuum11321/files/efthimios_kaxiras/files/2015_pccp_17_3832-3840.pdf) Silicon (Si) has been recognized as a promising anode material for the next-generation high-capacity lithium (Li)-ion batteries because of its high theoretical energy density. Recent in situ transmission electron microscopy (TEM) revealed that the... - [ picture\_as\_pdf2015\_pccp\_17\_3832-3840.pd...](/sites/g/files/omnuum11321/files/efthimios_kaxiras/files/2015_pccp_17_3832-3840.pdf) ### 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](/publications/reactive-flow-silicon-electrodes-assisted-insertion-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](/publications/reactive-flow-silicon-electrodes-assisted-insertion-lithium). NanoLetters. 2012;12:4397–4403. - add\_circle do\_not\_disturb\_on Abstract - [ picture\_as\_pdfpdf](/sites/g/files/omnuum11321/files/efthimios_kaxiras/files/nanolett_12_4397-4403_2012.pdf) In the search for high-energy density materials for Li-ion batteries, silicon has emerged as a promising candidate for anodes due to its ability to absorb a large number of Li atoms. Lithiation of Si leads to large deformation and concurrent changes in... - [ picture\_as\_pdfpdf](/sites/g/files/omnuum11321/files/efthimios_kaxiras/files/nanolett_12_4397-4403_2012.pdf) [Back to Research... ](/new-research) [Back to Research v2...](/researchv2) ## OUR WORK ![brain.jpg](/sites/g/files/omnuum11321/files/styles/hwp_1_1__360x360_scale/public/efthimios_kaxiras/files/brian.jpg?itok=1hSmqZ2A) Mechanochemistry and more will be here. 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.