Stefan Schnabel - Publications

	Veröffentlichungen
[1]	S. Schnabel, M. Bachmann, and W. Janke Two-State Folding, Folding through Intermediates, and Metastability in a Minimalistic Hydrophobic-Polar Model for Proteins Phys. Rev. Lett. 98, 048103(1-4) (2007).
[2]	S. Mitternacht, S. Schnabel, M. Bachmann, W. Janke, and A. Irbäck Differences in Solution Behavior among Four Semiconductor-Binding Peptides J. Phys. Chem. B 111, 4355-4360 (2007).
[3]	S. Schnabel, M. Bachmann, and W. Janke Identification of Characteristic Protein Folding Channels in a Coarse-Grained Hydrophobic-Polar Peptide Model J. Chem. Phys. 126, 105102(1-6) (2007).
[4]	S. Schnabel, M. Bachmann, and W. Janke Different Types of Protein Folding Identified with a Coarse-Grained Heteropolymer Model in: Proceedings of the NIC Workshop 2008 From Computational Biophysics to Systems Biology, NIC Series vol. 40, ed. by U. H. E. Hansmann, J. H. Meinke, S. Mohanty, W. Nadler, O. Zimmermann (NIC, Jülich, 2008), pp. 369-371.
[5]	S. Schnabel, T. Vogel, M. Bachmann, and W. Janke Surface Effects in the Crystallization Process of Elastic Flexible Polymers Chem. Phys. Lett. 476, 201-204 (2009).
[6]	S. Schnabel, M. Bachmann, and W. Janke Elastic Lennard-Jones Polymers Meet Clusters: Differences and Similarities J. Chem. Phys. 131, 124904(1-9) (2009).
[7]	S. Schnabel, W. Janke, and M. Bachmann Advanced Multicanonical Monte Carlo Methods for Efficient Simulations of Nucleation Processes of Polymers J. Comput. Phys. 230, 4454-4465 (2011).
[8]	S. Schnabel, D. T. Seaton, D. P. Landau, and M. Bachmann Microcanonical Entropy Inflection Points: Key to Systematic Understanding of Transitions in Finite Systems Phys. Rev. E 84, 011127(1-4) (2011).
[9]	S. Schnabel and D. P. Landau Fictitious excitations in the classical Heisenberg antiferromagnet on the kagome lattice Phys. Rev. B 86, 014413(1-10) (2012).
[10]	S. Schnabel and D. P. Landau Spin waves in the classical Heisenberg antiferromagnet on the kagome lattice J. Phys.: Conf. Series 402, 012022(1-9) (2012).
[11]	D. T. Seaton, S. Schnabel, M. Bachmann, and D. P. Landau Effects of Stiffness on Short, Semiflexible Homopolymer Chains Int. J. Mod. Phys. C 23 1240004(1-7) (2012).
[12]	D. T. Seaton, S. Schnabel, D. P. Landau, and M. Bachmann From Flexible to Stiff: Systematic Analysis of Structural Phases for Single Semiflexible Polymers Phys. Rev. Lett. 110, 028103(1-5) (2013).
[13]	J. C. S. Rocha, S. Schnabel, D. P. Landau, and M. Bachmann Identifying Transitions in Finite Systems by Means of Partition Function Zeros and Microcanonical Inflection-Point Analysis: A Comparison for Elastic Flexible Polymers Phys. Rev. E 90, 022601(1-10) (2014).
[14]	J. C. S. Rocha, S. Schnabel, D. P. Landau, and M. Bachmann Leading Fisher Partition Function Zeros as Indicators of Structural Transitions in Macromolecules Phys. Proc. 57, 94-98 (2014).
[15]	Zheng Zhu, Andrew J. Ochoa, Stefan Schnabel, Firas Hamze, and Helmut G. Katzgraber Best-case performance of quantum annealers on native spin-glass benchmarks: How chaos can affect success probabilities Phys. Rev. A, 93, 012317(1-8) (2016).
[16]	S. Schnabel and W. Janke Dynamic greedy algorithms for the Edwards-Anderson model Comput. Phys. Commun, 220, 74-80 (2017).
[17]	S. Schnabel and W. Janke Distribution of metastable states of Ising spin glasses Phys. Rev. B, 97, 174204(1-10) (2018).
[18]	S. Schnabel and W. Janke Distribution of metastable states of spin glasses J. Phys.: Conf. Ser., 1252, 012001(1-6) (2019).
[19]	S. Schnabel and W. Janke Counting metastable states of Ising spin glasses on hypercubic lattices Eur. Phys. J. B, 93, 53(1-7) (2020).
[20]	S. Schnabel and W. Janke Accelerating polymer simulation by means of tree data-structures and a parsimonious Metropolis algorithm Comput. Phys. Commun, 256, 107414(1-10) (2020).
[21]	S. Schnabel and W. Janke Wang-Landau simulations with non-flat distributions Comput. Phys. Commun, 267, 108071(1-5) (2021).
[22]	S. Schnabel and W. Janke Fast simulation of a large polymer with untruncated interaction near the collapse J. Phys. Conf. Ser., 2241, 012005(1-8) (2022).
[23]	S. Schnabel and W. Janke Monte Carlo Simulation of Long Hard-Sphere Polymer Chains in Two to Five Dimensions Macromol. Theory. Simul., 2200080 (2023).
[24]	F. Müller, H. Christiansen, S. Schnabel and W. Janke Fast, hierarchical, and adaptive algorithm for Metropolis Monte Carlo simulations of long-range interacting systems Phys.Rev. X, 13, 031006(1-17) (2023).

Veröffentlichungen