Thorben Fröhlking

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	All	Since 2019
Citations	147	147
h-index	5	5
i10-index	4	4

202020212022202320246 25 31 59 26

Co-authors

Giovanni BussiScuola Internazionale Superiore di Studi Avanzati, Trieste, ItalyVerified email at sissa.it
Mattia BernettiIIT & UniboVerified email at unibo.it
Nicola CalonaciPost-doc @ Cancer Data Science Lab, Università di TriesteVerified email at sissa.it
Vojtech MlynskyInstitute of Biophysics of the Czech Academy of Sciences, Brno, Czech RepublicVerified email at ibp.cz
Petra KührováRegional Center of Advanced Technologies and Materials, The Czech Advanced Technology and ResearchVerified email at upol.cz
Pavel BanášCzech Advanced Technology and Research Institute CATRIN, Palacky University OlomoucVerified email at upol.cz
Michal OtyepkaCATRIN, Palacký University; IT4Innovations, VŠB Technical University of OstravaVerified email at upol.cz
Christoph BurgstallerTransfercenter für Kunststofftechnik GmbH & Fachhochschule OberösterreichVerified email at fh-wels.at
Jörg MüssigHochschule Bremen, City University of Applied Sciences, Biomimetics, The Biological Materials GroupVerified email at bionik.hs-bremen.de
Nina GraupnerHochschule BremenVerified email at hs-Bremen.de
Valerio PiomponiArea Science Park

Thorben Fröhlking

PostDoc, UniGE

Verified email at unige.ch - Homepage

Molecular Dynamics RNA Proteins Machine Learning


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Toward empirical force fields that match experimental observables T Fröhlking, M Bernetti, N Calonaci, G Bussi The Journal of chemical physics 152 (23), 2020	70	2020
Toward convergence in folding simulations of RNA tetraloops: Comparison of enhanced sampling techniques and effects of force field modifications V Mlynsky, M Janeček, P Kuhrova, T Frohlking, M Otyepka, G Bussi, ... Journal of Chemical Theory and Computation 18 (4), 2642-2656, 2022	26	2022
Automatic learning of hydrogen-bond fixes in the AMBER RNA force field T Frohlking, V Mlýnský, M Janeček, P Kührová, M Krepl, P Banáš, ... Journal of Chemical Theory and Computation 18 (7), 4490-4502, 2022	20	2022
Copy paper as a source of reinforcement for biodegradable composites–Influence of fibre loading, processing method and layer arrangement–An overview N Graupner, M Prambauer, T Fröhlking, C Graf, JM Becker, K Meyer, ... Composites Part A: Applied Science and Manufacturing 120, 161-171, 2019	17	2019
Molecular Simulations Matching Denaturation Experiments for N⁶-Methyladenosine V Piomponi, T Fröhlking, M Bernetti, G Bussi ACS Central Science 8 (8), 1218-1228, 2022	7	2022
Simultaneous refinement of molecular dynamics ensembles and forward models using experimental data T Fröhlking, M Bernetti, G Bussi The Journal of Chemical Physics 158 (21), 2023	3	2023
Boosting Ensemble Refinement with Transferable Force-Field Corrections: Synergistic Optimization for Molecular Simulations I Gilardoni, T Fröhlking, G Bussi The Journal of Physical Chemistry Letters 15, 1204-1210, 2024	2	2024
Deep learning path-like collective variable for enhanced sampling molecular dynamics T Fröhlking, L Bonati, V Rizzi, FL Gervasio arXiv preprint arXiv:2402.01508, 2024	1	2024
Towards empirical force fields that reproduce experimental observables T Fröhlking, M Bernetti, N Calonaci, G Bussi arXiv, arXiv: 2004.01630, 2020	1	2020
Refinement of molecular dynamics ensembles using experimental data and flexible forward models T Fröhlking, M Bernetti, G Bussi arXiv preprint arXiv:2303.09372, 2023		2023
Machine learning RNA force fields from experimental data T Froehlking SISSA, 2022		2022

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