APS March Meeting 2020
Volume 65, Number 1
Monday–Friday, March 2–6, 2020;
Denver, Colorado
Session Index
Session R45: Computational Methods for Statistical Mechanics: Advances and Applications I
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Sponsoring Units: DCOMP GSNP
Chair: Markus Eisenbach, Oak Ridge National Lab
Room: 706
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R45.00001: Efficient Simulation of Self-Avoiding Walks
Invited Speaker:
Nathan Clisby
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R45.00002: Smart random walks for accelerated Monte Carlo simulations
Ying Wai Li, Alfred C.K. Farris, Markus Eisenbach
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R45.00003: Replica-Exchange Wang-Landau Simulations of Lattice Peptide Aggregation
Matthew Wilson, Guangjie Shi, Thomas Wuest, David P Landau, Friederike Schmid
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R45.00004: A Combinatorial Perspective on Ising Model Hysteresis
Yuling Guan, Ang Li, Stephan Wolfgang Haas, Satish Kumar Thittamaranahalli, Sven Koenig
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R45.00005: Steering a solute between coexisting solvation states: calculation of free energy differences in the adaptive resolution method
Maziar Heidari, Robinson Cortes Huerto, Raffaello Potestio, Kurt Kremer
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R45.00006: Effects of Lattice Constraints in Coarse-Grained Protein Models: A Wang-Landau Study
Alfred Farris, Daniel T Seaton, David P Landau
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R45.00007: The self-consistent multi scale simulation of complex fluids
Hideki Kobayashi, Paul Rohrbach, Robert Scheichl, Nigel B. Wilding, Robert L Jack
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R45.00008: Equilibrium density calculation of generalized Muttalib-Borodin ensembles.
Swapnil Yadav, Kazi Alam, Khandker A Muttalib, Dong Wang
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R45.00009: Enhanced sampling of cylindrical microphase separation via shell-averaged bond-orientational order parameter
Min Young Ha, Bumjoon Seo, Won Bo Lee
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R45.00010: Probing predictions due to the nonlocal interface Hamiltonian: Monte Carlo simulations of interfacial fluctuations in Ising films
Lijun Pang, David P Landau, Kurt Binder
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R45.00011: Integer lattice gases, Molecular Dynamics Lattice Gas and an alternative derivation of the lattice Boltzmann method
Alexander Wagner, Noah Seekins, Reza Parsa, Aleksandra Pachalieva
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R45.00012: Machine-learning approach to real-space renormalization of the 2D Potts model
Chak Ming Chan, Liang Tian, Lei-Han Tang
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