Discrete Simulation of Fluid Dynamics (DSFD) Conference
Welcome to the 32nd Discrete Simulation of Fluid Dynamics (DSFD) Conference.
July 17-21, 2023
The University of New Mexico
Sponsored by the UNM Department of Chemical and Biological Engineering and Los Alamos National Laboratory.
Abstract submission deadline: April 30, 2023
Early registration deadline: May 15, 2023
Regular registration deadline: July 1, 2023
About the conference
The DSFD series of conferences originated with the 1986 Los Alamos conference organized by Gary D. Doolen. Since that time, the DSFD conferences have emerged as the premiere forum for researchers in the field, and many exciting discoveries in lattice models of fluid dynamics have been first announced at DSFD conferences.
Topics emphasized at these meetings include lattice Boltzmann schemes, dissipative particle dynamics, smoothed-particle hydrodynamics, direct simulation Monte Carlo, molecular dynamics, quantum Monte Carlo methods, multiparticle collision dynamics, and hybrid methods. There will be sessions on advances in both theory and computation, on engineering applications of discrete fluid algorithms, and on fundamental issues in mathematical modeling, numerical analysis, statistical mechanics, kinetic theory, and hydrodynamics and their applications in microscopic, nanoscale and multiscale physics for emerging technologies. Other topics of interest include theoretical and experimental work on interfacial phenomena, droplets, free-surface flow, and micro- and nanofluidics.
Abstracts can be submitted using the Google Form: https://forms.gle/XEuQwMWmcpuzuJzJA
Abstracts may be written in LaTeX, using this template. The abstract must be less than 300 words, including references. You may include up to one figure in your document (PDF, EPS, PNG, JPG, or TIF formats only). If you choose to include a figure in your abstract, please, compress the .tex file along with the figure as an archive file and upload it in the Google Form. The compiled document must fit on one page using the template, and you may not load any additional packages.
Based on your research interest, you can select your method:
01 Lattice Boltzmann Methods
02 Dissipative Particle Dynamics, Smoothed-Particle Hydrodynamics, Meshless Methods
03 Gas-Kinetic Schemes and Traditional CFD (FEM, FDM, FVM)
04 Molecular Dynamics
05 Direct Simulation Monte Carlo
06 Quantum Monte Carlo
07 Multiparticle Collision Dynamics
08 Hybrid Methods
and area of application:
A Method Development
B Mathematical Analysis
C Multiphase Flows
D Flows in Porous Media
E Mass and Heat Transfer
F Non-Equilibrium Phenomena
G Electromagnetic Hydrodynamics (EHD and MHD)
H Nano-Micro Fluidics
I Compressible Flows
J Parallel Computing, Efficiency, High-Performance Computing
K Machine Learning for Fluid Mechanics
If you have issues submitting your abstract, please, do not hesitate to contact us at firstname.lastname@example.org.
After all abstracts are collected, they will be reviewed by the local organizing committee. The result of acceptance will be sent to you as soon as possible.
All participants are required to register for the conference. The registration portal will be open soon.
The registration fee includes coffee breaks, breakfast, lunch, and conference dinner.
Early Bird(before May 15, 2023)
Regular Registration(after May 15, 2023)
Student / Ph.D. Student Registration
Qinjun Kang, Los Alamos National Laboratory
Sang M. Han, The University of New Mexico
Nick Carroll, The University of New Mexico
Daniel Livescu, Los Alamos National Laboratory
Hari Viswanathan, Los Alamos National Laboratory
Christoph Junghans, Los Alamos National Laboratory
Philip H. Stauffer, Los Alamos National Laboratory
Hongkyu Yoon, Sandia National Laboratories
Alexander Wagner, North Dakota State University
Aleksandra Pachalieva, Los Alamos National Laboratory
Adam Quintana, The University of New Mexico
Michael Woodward, Los Alamos National Laboratory
Join our mailing list for the latest news: http://dsfd.physics.ndsu.nodak.edu/listinfo/dsfd-announce