Publications

2021


Huang B, von Lilienfeld OA. Ab Initio Machine Learning in Chemical Compound Space. Chemical Reviews. 2021 Aug 25;121(16):10001-10036. doi: 10.1021/acs.chemrev.0c01303

Ceriotti M, Clementi C, von Lilienfeld OA. Introduction: Machine Learning at the Atomic Scale. Chemical Reviews. 2021 Aug 25;121(16):9719-9721. doi: 10.1021/acs.chemrev.1c00598

Heinen S, von Rudorff GF, von Lilienfeld OA. Toward the design of chemical reactions: Machine learning barriers of competing mechanisms in reactant space. Journal of Chemical Physics. 2021 Aug 14;155(6):064105. doi: 10.1063/5.0059742

Ebad-Allah J, Rojewski S, Vöst M, Eickerling G, Scherer W, Uykur E et al. Pressure-Induced Excitations in the Out-of-Plane Optical Response of the Nodal-Line Semimetal ZrSiS. Physical Review Letters. 2021 Aug 11;127(7):076402. doi: 10.1103/PhysRevLett.127.076402

Lemm D, von Rudorff GF, von Lilienfeld OA. Machine learning based energy-free structure predictions of molecules, transition states, and solids. Nature Communications. 2021 Jul 22;12(1):4468. doi: 10.1038/s41467-021-24525-7

Averyanov DV, Liu P, Sokolov IS, Parfenov OE, Karateev IA, Di Sante D et al. Nanoscale synthesis of ionic analogues of bilayer silicene with high carrier mobility. Journal of Materials Chemistry C. 2021 Jul 21;9(27):8545-8551 . Epub 2021 May 24. doi: 10.1039/d1tc01951a

Varrassi L, Liu P, Ergönenc Yavas Z, Bokdam M, Kresse G, Franchini C. Optical and excitonic properties of transition metal oxide perovskites by the Bethe-Salpeter equation. Physical Review Materials. 2021 Jul 9;5(7):074601. doi: 10.1103/PhysRevMaterials.5.074601

Franchini C, Reticcioli M, Setvín M, Diebold U. Polarons in materials. Nature Reviews Materials. 2021 Jul;6(7):560–586. Epub 2021 Mar 19. doi: 10.1038/s41578-021-00289-w

Tapavicza E, von Rudorff GF, De Haan DO, Contin M, George C, Riva M et al. Elucidating an Atmospheric Brown Carbon Species-Toward Supplanting Chemical Intuition with Exhaustive Enumeration and Machine Learning. Environmental Science & Technology. 2021 Jun 15;55(12):8447-8457. doi: 10.1021/acs.est.1c00885

Liu P, Verdi C, Karsai F, Kresse G. α−β phase transition of zirconium predicted by on-the-fly machine-learned force field. Physical Review Materials. 2021 May 24;5(5):053804. doi: 10.1103/PhysRevMaterials.5.053804

Veliz JCSV, Koner D, Schwilk M, Bemish RJ, Meuwly M. The C( 3P) + O 2( 3Σ g -) → CO 2↔ CO( 1Σ +) + O( 1D)/O( 3P) reaction: thermal and vibrational relaxation rates from 15 K to 20 000 K. Physical Chemistry Chemical Physics. 2021 May 21;23(19):11251–11263. Epub 2021 Apr 12. doi: 10.1039/d1cp01101d

von Rudorff GF, von Lilienfeld OA. Simplifying inverse materials design problems for fixed lattices with alchemical chirality. Science Advances. 2021 May 19;7(21). doi: 10.1126/sciadv.abf1173

Ceriotti M, Clementi C, Anatole von Lilienfeld O. Machine learning meets chemical physics. Journal of Chemical Physics. 2021 Apr 28;154(16):160401. Epub 2021 Apr 23. doi: 10.1063/5.0051418

Förg M, Baimuratov AS, Kruchinin SY, Vovk IA, Scherzer J, Förste J et al. Moiré excitons in MoSe2-WSe2 heterobilayers and heterotrilayers. Nature Communications. 2021 Mar 12;12(1):1656. doi: 10.1038/s41467-021-21822-z