Advances in Computational Methods for Statistical Physics and Their Applications II
FOCUS · F21 ·
Presentations
-
Sampling large deviations of mobility and its application to glassy dynamics
Invited
–
Presenters
-
Thomas Speck
- Johannes Gutenberg University Mainz
Authors
-
Francesco Turci
- University of Bristol
-
Paddy Royall
- HH Wills Physics Laboratory, University of Bristol
- University of Bristol
-
Thomas Speck
- Johannes Gutenberg University Mainz
-
-
Data-Free Deep Neural Networks for Solving Partial Differential Equations in Nanobiophysics
ORAL
–
Presenters
-
Martin Magill
- University of Ontario Institute of Technology
Authors
-
Martin Magill
- University of Ontario Institute of Technology
-
Andrew Nagel
- University of Ontario Institute of Technology
-
Hendrick W de Haan
- University of Ontario Institute of Technology
- Science, University of Ontario Institute of Technology
- Modelling and Computattional Science, University of Ontario Institute of Technology
-
-
Machine Learning Surrogate Models to Accelerate Monte-Carlo Calculation
ORAL
–
Presenters
-
Markus Eisenbach
- National Center for Computational Sciences, Oak Ridge National Laboratory
- Oak Ridge National Laboratory
- National Center of Computational Sciences, Oak Ridge National Laboratory
- Oak Ridge Natioinal Laboratory
Authors
-
Markus Eisenbach
- National Center for Computational Sciences, Oak Ridge National Laboratory
- Oak Ridge National Laboratory
- National Center of Computational Sciences, Oak Ridge National Laboratory
- Oak Ridge Natioinal Laboratory
-
Jiaxin Zhang
- Oak Ridge National Laboratory
-
Zongrui Pei
- Oak Ridge National Laboratory
-
Massimiliano Lupo Pasini
- Oak Ridge National Laboratory
-
Ying Wai Li
- National Center for Computational Sciences, Oak Ridge National Laboratory
- Oak Ridge National Laboratory
- National Center of Computational Sciences, Oak Ridge National Laboratory
-
Junqi Yin
- Oak Ridge National Laboratory
-
-
Reinforcement Learning and the Scientific Method
ORAL
–
Presenters
-
Isaac Tamblyn
- University of Ontario Institute of Technology, University of Ottawa, and National Research Council of Canada
- University of Ontario Institute of Technology, National Research Council of Canada
- National Research Council of Canada
Authors
-
Rory Coles
- University of Ontario, Institute of Technology
- University of Ontario Institute of Technology
-
Isaac Tamblyn
- University of Ontario Institute of Technology, University of Ottawa, and National Research Council of Canada
- University of Ontario Institute of Technology, National Research Council of Canada
- National Research Council of Canada
-
-
Statistical Precision Annealing Method for Deep Learning
ORAL
–
Presenters
-
Zheng Fang
- Department of Physics, University of California, San Diego
Authors
-
Zheng Fang
- Department of Physics, University of California, San Diego
-
Henry D. I. Abarbanel
- University of California, San Diego
- Department of Physics, University of California, San Diego
-
-
Training Classifiers With a Multi-Grid DMRG Algorithm
ORAL
–
Presenters
-
Justin Reyes
- University of Central Florida
Authors
-
Justin Reyes
- University of Central Florida
-
Edwin M Stoudenmire
- Physics, University of California- Irvine
-
-
Expanded Wang-Landau simulations: Towards a partition function-based prediction of properties for single component systems, mixtures and adsorbed phases
ORAL
–
Presenters
-
Jerome Delhommelle
- University of North Dakota
Authors
-
Caroline Desgranges
- University of North Dakota
-
Jerome Delhommelle
- University of North Dakota
-
-
Relaxation Augmented Free Energy Perturbation
ORAL
–
Presenters
-
Ying-Chih Chiang
- University of Southampton
Authors
-
Ying-Chih Chiang
- University of Southampton
-
Christopher Cave-Ayland
- University of Southampton
-
Marley Samways
- University of Southampton
-
Frank Otto
- Department of Chemistry, University College London
-
Jonathan Essex
- University of Southampton
-
-
Directed random walks and global updates for improved convergence in multicanonical Monte Carlo algorithms
ORAL
–
Presenters
-
Ying Wai Li
- National Center for Computational Sciences, Oak Ridge National Laboratory
- Oak Ridge National Laboratory
- National Center of Computational Sciences, Oak Ridge National Laboratory
Authors
-
Ying Wai Li
- National Center for Computational Sciences, Oak Ridge National Laboratory
- Oak Ridge National Laboratory
- National Center of Computational Sciences, Oak Ridge National Laboratory
-
Alfred Farris
- Center for Simulational Physics, University of Georgia
- University of Georgia
-
Markus Eisenbach
- National Center for Computational Sciences, Oak Ridge National Laboratory
- Oak Ridge National Laboratory
- National Center of Computational Sciences, Oak Ridge National Laboratory
- Oak Ridge Natioinal Laboratory
-
-
Selecting initial distributions of states for efficient Monte Carlo sampling
ORAL
–
Presenters
-
Thomas E Baker
- Département de physique & Insitut quantique, Université de Sherbrooke
- Département de physique, Université de Sherbrooke, Institut quantique
Authors
-
Thomas E Baker
- Département de physique & Insitut quantique, Université de Sherbrooke
- Département de physique, Université de Sherbrooke, Institut quantique
-
-
Development of effective stochastic potential method using random matrix theory for calculation of ensemble-averaged quantum mechanical properties at non-zero temperatures
ORAL
–
Presenters
-
Jeremy Scher
- Syracuse University
Authors
-
Jeremy Scher
- Syracuse University
-
Arindam Chakraborty
- Syracuse University
-
-
Constructing Generative Models via the Functional Renormalization Group
ORAL
–
Presenters
-
Nahom Yirga
- Boston University
Authors
-
Nahom Yirga
- Boston University
-
David K Campbell
- Boston University
- Boston Univ
- Department of Physics, Osaka University
- Department of Physics, Boston Universtiy
- Physics, Boston University
-