Publications

Showing entries 1 - 20 out of 625

2024


Speckmann C, Angeletti A, Kývala L, Lamprecht D, Herterich F, Mangler C et al. Electron-Beam-Induced Adatom-Vacancy-Complexes in Mono- and Bilayer Phosphorene. Advanced Materials Interfaces. 2024 Dec 13;2400784. Epub 2024 Dec 13. doi: 10.48550/arXiv.2409.11102, 10.1002/admi.202400784

Alexander A, Reticcioli M, Albons L, Redondo J, Corrias M, Píš I et al. Atomic-Scale View at the Segregation of Alkali Metals toward the KTaO3(001) Perovskite Surface. ACS Applied Materials and Interfaces. 2024 Dec 10;16(50):70010-70019. Epub 2024 Dec 10. doi: 10.1021/acsami.4c13795

Faller C, Kaltak M, Kresse G. Density-based long-range electrostatic descriptors for machine learning force fields. Journal of Chemical Physics. 2024 Dec 7;161(21):214701. doi: 10.48550/arXiv.2406.17595, 10.1063/5.0245615

Gutowska S, Górnicka K, Wójcik P, Klimczuk T, Wiendlocha B. Anisotropic, multiband, and strong-coupling superconductivity of the Pb0.64Bi0.36 alloy. Physical Review B. 2024 Dec 1;110(21):214510. doi: 10.48550/arXiv.2411.18315, 10.1103/PhysRevB.110.214510

Rakotonirina VD, Bragato M, Heinen S, von Lilienfeld OA. Combining Hammett σ constants for Δ-machine learning and catalyst discovery. Digital Discovery. 2024 Dec 1;3(12):2487-2496. Epub 2024 Oct 23. doi: 10.48550/arXiv.2405.07747, 10.1039/d4dd00228h

Weinreich J, Probst D. Learning on compressed molecular representations. Digital Discovery. 2024 Nov 9. Epub 2024 Nov 9. doi: 10.1039/d4dd00162a

Świątek H, Gutowska S, Winiarski MJ, Wiendlocha B, Klimczuk T. Superconductivity in Ternary Mg4Pd7As6. Advanced Electronic Materials. 2024 Nov 3;2400284. Epub 2024 Nov 3. doi: 10.1002/aelm.202400284

Redondo J, Reticcioli M, Gabriel V, Wrana D, Ellinger F, Riva M et al. Real-space investigation of polarons in hematite Fe2O3. Science Advances. 2024 Nov;10(44):eadp7833. doi: https://arxiv.org/abs/2303.17945, 10.1126/sciadv.adp7833

Ryan PTP, Sombut P, Rafsanjani-Abbasi A, Wang C, Eratam F, Goto F et al. Quantitative Measurement of Cooperative Binding in Partially Dissociated Water Dimers at the Hematite “R-Cut” Surface. Journal of Physical Chemistry C. 2024 Oct 10;128(40):16977-16985. doi: 10.48550/arXiv.2406.18264, 10.1021/acs.jpcc.4c04537

Ranalli L, Verdi C, Zacharias M, Even J, Giustino F, Franchini C. Electron mobilities in SrTiO3 and KTaO3: Role of phonon anharmonicity, mass renormalization, and disorder. Physical Review Materials. 2024 Oct;8(10):104603. doi: 10.48550/arXiv.2407.18771, 10.1103/PhysRevMaterials.8.104603

Wang C, Sombut P, Puntscher L, Ulreich M, Pavelec J, Rath D et al. A Multitechnique Study of C2H4 Adsorption on a Model Single-Atom Rh1 Catalyst. Journal of Physical Chemistry C. 2024 Sept 19;128(37):15404-15411. doi: 10.1021/acs.jpcc.4c03588

Hütner JI, Conti A, Kugler D, Mittendorfer F, Kresse G, Schmid M et al. Stoichiometric reconstruction of the Al2O3(0001) surface. Science. 2024 Sept 13;385(6714):1241-1244. doi: 10.1126/science.adq4744

Klimin SN, Tempere J, Houtput M, Ragni S, Hahn T, Franchini C et al. Analytic method for quadratic polarons in nonparabolic bands. Physical Review B. 2024 Aug 15;110(7):075107. doi: 10.48550/arXiv.2403.18019, 10.1103/PhysRevB.110.075107

Tresca C, Forcella PM, Angeletti A, Ranalli L, Franchini C, Reticcioli M et al. Molecular hydrogen in the N-doped LuH3 system as a possible path to superconductivity. Nature Communications. 2024 Aug;15(1):7283. doi: 10.1038/s41467-024-51348-z

Leoni L, Franchini C. Global sampling of Feynman's diagrams through normalizing flow. Physical Review Research. 2024 Jul;6(3):033041. doi: 10.48550/arXiv.2402.00736, 10.1103/PhysRevResearch.6.033041

Li Z, Varrassi L, Yang Y, Franchini C, Bellaiche L, He J. Ultrastrong Coupling between Polar Distortion and Optical Properties in Ferroelectric MoBr2O2. Journal of the American Chemical Society. 2024 Jun 5;146(22):15411–15419. Epub 2024 May 23. doi: 10.48550/arXiv.2402.15949, 10.1021/jacs.4c03296

Sukurma Z, Schlipf M, Humer M, Taheridehkordi A, Kresse G. Toward Large-Scale AFQMC Calculations: Large Time Step Auxiliary-Field Quantum Monte Carlo. Journal of Chemical Theory and Computation. 2024 May 28;20(10):4205–4217. Epub 2024 May 15. doi: 10.48550/arXiv.2403.02542, 10.1021/acs.jctc.4c00304

Jinnouchi R, Karsai F, Kresse G. Machine learning-aided first-principles calculations of redox potentials. npj Computational Materials. 2024 May 20;10(1):107. doi: 10.48550/arXiv.2309.13217, 10.1038/s41524-024-01295-6

Showing entries 1 - 20 out of 625