@masterthesis{Schmiedel2013, type = {Bachelor Thesis}, author = {Schmiedel, Jessica}, title = {Singul{\"a}rwertzerlegung mit Zufallsalgorithmen}, year = {2013}, language = {de} } @masterthesis{Toudic2013, type = {Bachelor Thesis}, author = {Toudic, Remi}, title = {Confjump: A method for biomolecular sampling}, year = {2013}, language = {de} } @misc{Pommer2013, type = {Master Thesis}, author = {Pommer, Daniel}, title = {Konditionsverbesserung von Markov-Modellen}, year = {2013}, language = {de} } @misc{Lie2012, type = {Master Thesis}, author = {Lie, Han Cheng}, title = {A Meshless Method for Conformational Analysis}, year = {2012}, language = {en} } @misc{SchuetteDeuflhardNoeetal.2014, author = {Sch{\"u}tte, Christof and Deuflhard, Peter and No{\´e}, Frank and Weber, Marcus}, title = {Design of functional molecules}, volume = {1}, journal = {MATHEON-Mathematics for Key Technologies}, editor = {Deuflhard, Peter and Gr{\"o}tschel, Martin and H{\"o}mberg, Dietmar and Horst, Ulrich and Kramer, J{\"u}rg and Mehrmann, Volker and Polthier, Konrad and Schmidt, Frank and Sch{\"u}tte, Christof and Skutella, Martin and Sprekels, J{\"u}rgen}, publisher = {European Mathematical Society}, pages = {49 -- 65}, year = {2014}, language = {en} } @phdthesis{Bujotzek2013, author = {Bujotzek, Alexander}, title = {Molecular Simulation of Multivalent Ligand-Receptor Systems}, year = {2013}, language = {en} } @article{BujotzekSchuettNielsenetal.2014, author = {Bujotzek, Alexander and Sch{\"u}tt, Ole and Nielsen, Adam and Fackeldey, Konstantin and Weber, Marcus}, title = {ZIBgridfree: Efficient Conformational Analysis by Partition-of-Unity Coupling}, volume = {52}, journal = {Journal of Mathematical Chemistry}, number = {3}, doi = {10.1007/s10910-013-0265-1}, pages = {781 -- 804}, year = {2014}, language = {de} } @article{WeberFackeldey2014, author = {Weber, Marcus and Fackeldey, Konstantin}, title = {Local Refinements in Classical Molecular Dynamics Simulations}, volume = {490}, journal = {J. Phys. Conf. Ser.}, pages = {012016}, year = {2014}, language = {en} } @article{Weber2013, author = {Weber, Marcus}, title = {Adaptive Spectral Clustering in Molecular Simulation. In: Studies in Classification, Data Analysis, and Knowledge Organization}, journal = {XIV: Classification and Data Mining, A. Giusti, G. Ritter, M. Vichi (Eds.), Springer Series}, pages = {147 -- 157}, year = {2013}, language = {de} } @article{KrebekvonAchaziSollederetal.2016, author = {Krebek, von, Larissa K. S. and Achazi, Andreas J. and Solleder, Marthe and Weber, Marcus and Paulus, Beate and Schalley, Christoph A.}, title = {Allosteric and Chelate Cooperativity in Divalent Crown Ether-Ammonium Complexes with Strong Binding Enhancements}, volume = {22}, journal = {Chem. Eur. J.}, number = {43}, doi = {10.1002/chem.201603098}, pages = {15475 -- 15484}, year = {2016}, language = {en} } @phdthesis{Fackeldey2015, author = {Fackeldey, Konstantin}, title = {Crossing the Scales in Structural Mechanics and Molecular Research}, year = {2015}, language = {en} } @article{GorgullaGarzaKapiletal.2025, author = {Gorgulla, Christoph and Garza, Alejandro J. and Kapil, Venkat and Fackeldey, Konstantin}, title = {QUASAR: A Flexible QM-MM Method for Biomolecular Systems based on Restraining Spheres}, volume = {320}, journal = {Computer Physics Communications}, issn = {0010-4655}, doi = {10.1016/j.cpc.2025.109949}, year = {2025}, abstract = {Quantum mechanical models of molecules theoretically offer unprecedented accuracy in predicting values associated with these systems, including the free energy of interaction between two molecules. However, high-accuracy quantum mechanical methods are computationally too expensive to be applied to larger systems, including most biomolecular systems such as proteins. To circumvent this challenge, the hybrid quantum mechanics/molecular mechanics (QM/MM) method was developed, allowing one to treat only the most important part of the system on the quantum mechanical level and the remaining part on the classical level. To date, QM/MM simulations for biomolecular systems have been carried out almost exclusively on the electronic structure level, neglecting nuclear quantum effects (NQEs). Yet NQEs can play a major role in biomolecular systems [1]. Here, we present i-QI, a QM/MM client for the path integral molecular dynamics (PIMD) software i-PI [2, 3, 4]. i-QI allows for carrying out QM/MM simulations simultaneously, allowing for the inclusion of electronic as well as nuclear quantum effects. i-QI implements a new QM/MM scheme based on constraining potentials called QUASAR, which allows handling diffusive systems, such as biomolecules solvated in water solvent. The QUASAR method is suitable in particular when the properties of interest are equilibrium properties, such as the free energy of binding. i-QI is freely available and open source, and we demonstrate it on a test system.}, language = {en} }