Publications


Showing entries 21 - 40 out of 99

2024


Malagarriga Pérez M, González L. Binding modes of a flexible ruthenium polypyridyl complex to DNA. Physical Chemistry Chemical Physics. 2024 Oct 11;26(42):27116-27130. doi: 10.1039/d4cp02782e

Montero de Hijes P, Dellago C, Jinnouchi R, Kresse G. Density isobar of water and melting temperature of ice: Assessing common density functionals. Journal of Chemical Physics. 2024 Oct 7;161(13):131102 . doi: 10.1063/5.0227514

Pitesa T, Polonius S, González L, Mai S. Excitonic Configuration Interaction: Going Beyond the Frenkel Exciton Model. Journal of Chemical Theory and Computation. 2024 Jul 9;20(13):5609-5634. Epub 2024. doi: 10.1021/acs.jctc.4c00157

Hernández-Castillo D, Eder I, González L. Guidelines to calculate non-radiative deactivation mechanisms of ruthenium tris(bipyridine) derivatives. Coordination Chemistry Reviews. 2024 Jul 1;510:215819. doi: 10.1016/j.ccr.2024.215819

Gorfer A, Abart R, Dellago C. Structure and thermodynamics of defects in Na-feldspar from a neural network potential. Physical Review Materials. 2024 Jul;8(7):073602. doi: 10.48550/arXiv.2402.14640, 10.1103/PhysRevMaterials.8.073602

Polonius S, Lehrner D, González L, Mai S. Resolving Photoinduced Femtosecond Three-Dimensional Solute-Solvent Dynamics through Surface Hopping Simulations. Journal of Chemical Theory and Computation. 2024 Jun 11;20(11):4738-4750. Epub 2024. doi: 10.1021/acs.jctc.4c00169

Omranpour A, Montero De Hijes P, Behler J, Dellago C. Perspective: Atomistic simulations of water and aqueous systems with machine learning potentials. Journal of Chemical Physics. 2024 May 7;160(17):170901. doi: 10.48550/arXiv.2401.17875, 10.1063/5.0201241

Jacobi R, González L. Resonance energy transfer in orthogonally arranged chromophores: a question of molecular representation. Physical Chemistry Chemical Physics. 2024 Apr 28;26(16):12299-12305. Epub 2024 Apr 4. doi: 10.1039/d4cp00420e

González L, Reiher M, Rice J. Tribute to Roland Lindh. The journal of physical chemistry. A. 2024 Apr 25;128(16):3047-3048. doi: 10.1021/acs.jpca.4c01499

Franz J, Oelschlegel M, Zobel JP, Hua SA, Borter JH, Schmid L et al. Bifurcation of Excited-State Population Leads to Anti-Kasha Luminescence in a Disulfide-Decorated Organometallic Rhenium Photosensitizer. Journal of the American Chemical Society. 2024 Apr;146(16):11272–11288. doi: 10.1021/jacs.4c00548

Falkner S, Coretti A, Dellago C. Enhanced Sampling of Configuration and Path Space in a Generalized Ensemble by Shooting Point Exchange. Physical Review Letters. 2024 Mar 22;132(12):128001. doi: 10.48550/arXiv.2302.08757, 10.1103/PhysRevLett.132.128001

Montero de Hijes P, Dellago C, Jinnouchi R, Schmiedmayer B, Kresse G. Comparing machine learning potentials for water: Kernel-based regression and Behler-Parrinello neural networks. Journal of Chemical Physics. 2024 Mar 21;160(11):114107. doi: 10.1063/5.0197105

Coretti A, Falkner S, Weinreich J, Dellago C, von Lilienfeld-Toal OA. Boltzmann Generators and the New Frontier of Computational Sampling in Many-Body Systems. KIM Review. 2024;2:3. doi: 10.25950/bfa99422

2023


Kyvala L, Angeletti A, Franchini C, Dellago C. Diffusion and Coalescence of Phosphorene Monovacancies Studied Using High-Dimensional Neural Network Potentials. Journal of Physical Chemistry C. 2023 Dec 14;127(49):23743-23751. doi: 10.1021/acs.jpcc.3c05713

Singer NK, González L, Monari A. Molecular Photoswitches Regulating the Activity of the Human Serotonin Transporter. The Journal of Physical Chemistry Letters. 2023 Nov 23;14(46):10333-10339. doi: 10.1021/acs.jpclett.3c02655

Polonius S, Zhuravel O, Bachmair B, Mai S. LVC/MM: A Hybrid Linear Vibronic Coupling/Molecular Mechanics Model with Distributed Multipole-Based Electrostatic Embedding for Highly Efficient Surface Hopping Dynamics in Solution. Journal of Chemical Theory and Computation. 2023 Oct 24;19(20):7171-7186. doi: 10.1021/acs.jctc.3c00805

Kývala L, Dellago C. Optimizing the architecture of Behler-Parrinello neural network potentials. Journal of Chemical Physics. 2023 Sept 7;159(9):094105. doi: 10.1063/5.0167260

Falkner S, Coretti A, Romano S, Geissler PL, Dellago C. Conditioning Boltzmann generators for rare event sampling. Machine Learning: Science and Technology. 2023 Sept;4(3):035050. doi: 10.1088/2632-2153/acf55c

Montero de Hijes P, Romano S, Gorfer A, Dellago C. The kinetics of the ice-water interface from ab initio machine learning simulations. Journal of Chemical Physics. 2023 May 28;158(20):204706. doi: 10.48550/arXiv.2303.11092, 10.1063/5.0151011

Showing entries 21 - 40 out of 99