%0 Journal Article %1 mortazavi2020exploring %A Mortazavi, Bohayra %A Novikov, Ivan S. %A Podryabinkin, Evgeny V. %A Roche, Stephan %A Rabczuk, Timon %A Shapeev, Alexander V. %A Zhuang, Xiaoying %D 2020 %I Elsevier %J Applied materials today %K ubs_10003 ubs_20003 ubs_30032 unibibliografie wos %N September %P 100685 %R 10.1016/j.apmt.2020.100685 %T Exploring phononic properties of two-dimensional materials using machine learning interatomic potentials %V 20

@article{mortazavi2020exploring, added-at = {2022-02-04T17:01:22.000+0100}, affiliation = {Mortazavi, B (Corresponding Author), Leibniz Univ Hannover, Dept Math & Phys, Chair Computat Sci & Simulat Technol, Appelstr 11, D-30157 Hannover, Germany. Shapeev, AV (Corresponding Author), Skolkovo Innovat Ctr, Skolkovo Inst Sci & Technol, Nobel St 3, Moscow 143026, Russia. Mortazavi, Bohayra; Zhuang, Xiaoying, Leibniz Univ Hannover, Dept Math & Phys, Chair Computat Sci & Simulat Technol, Appelstr 11, D-30157 Hannover, Germany. Mortazavi, Bohayra, Leibniz Univ Hannover, Cluster Excellence PhoenixD, Photon Opt & Engn Innovat Disciplines, Hannover, Germany. Novikov, Ivan S.; Podryabinkin, Evgeny V.; Shapeev, Alexander V., Skolkovo Innovat Ctr, Skolkovo Inst Sci & Technol, Nobel St 3, Moscow 143026, Russia. Novikov, Ivan S., Univ Stuttgart, Inst Mat Sci, Pfaffenwaldring 55, D-70569 Stuttgart, Germany. Roche, Stephan, CSIC, Catalan Inst Nanosci & Nanotechnol ICN2, Campus UAB, Barcelona 08193, Spain. Roche, Stephan, BIST, Campus UAB, Barcelona 08193, Spain. Roche, Stephan, ICREA Inst Catalana Recerca & Estudis Avancats, Barcelona 08010, Spain. Rabczuk, Timon; Zhuang, Xiaoying, Tongji Univ, Dept Geotech Engn, Coll Civil Engn, Shanghai, Peoples R China.}, author = {Mortazavi, Bohayra and Novikov, Ivan S. and Podryabinkin, Evgeny V. and Roche, Stephan and Rabczuk, Timon and Shapeev, Alexander V. and Zhuang, Xiaoying}, biburl = {https://puma.ub.uni-stuttgart.de/bibtex/234cc21d22df21b84ebc19ab6d6c82a89/unibiblio}, doi = {10.1016/j.apmt.2020.100685}, interhash = {4af0175b829b8352ceabb05118ff10b6}, intrahash = {34cc21d22df21b84ebc19ab6d6c82a89}, issn = {2352-9407}, journal = {Applied materials today}, keywords = {ubs_10003 ubs_20003 ubs_30032 unibibliografie wos}, language = {eng}, number = {September}, pages = 100685, publisher = {Elsevier}, research-areas = {Materials Science}, timestamp = {2022-02-04T16:01:22.000+0100}, title = {Exploring phononic properties of two-dimensional materials using machine learning interatomic potentials}, unique-id = {ISI:000598354800006}, volume = 20, year = 2020 }