The lattice Boltzmann methods (LBM), originated from the lattice gas automata (LGA) method (Hardy-Pomeau-Pazzis and Frisch-Hasslacher-Pomeau models), is a class of computational fluid dynamics (CFD) methods for fluid simulation. Instead of solving the Navier–Stokes equations directly, a fluid density on a lattice is simulated with streaming and collision (relaxation) processes. The method is versatile as the model fluid can straightforwardly be made to mimic common fluid behaviour like vapour/liquid coexistence, and so fluid systems such as liquid droplets can be simulated. Also, fluids in complex environments such as porous media can be straightforwardly simulated, whereas with complex boundaries other CFD methods can be hard to work with. (Wikipedia).
Lecture 12A : The Boltzmann Machine learning algorithm
Neural Networks for Machine Learning by Geoffrey Hinton [Coursera 2013] Lecture 12A : The Boltzmann Machine learning algorithm
From playlist Neural Networks for Machine Learning by Professor Geoffrey Hinton [Complete]
A. Eberle: Couplings & converg. to equilibrium f. Langevin dyn. & Hamiltonian Monte Carlo methods
The lecture was held within the framework of the Hausdorff Trimester Program: Kinetic Theory Abstract: Coupling methods provide a powerful approach to quantify convergence to equilibrium of Markov processes in appropriately chosen Wasserstein distances. This talk will give an overview on
From playlist Workshop: Probabilistic and variational methods in kinetic theory
Modelling multicomponent fluid flows with the lattice Boltzmann method
Halim Kusumaatmaja Durham University, UK
From playlist 2018 Modeling and Simulation of Interface Dynamics in Fluids/Solids and Their Applications
John HILLER - Nonperturbative light-front methods
https://indico.math.cnrs.fr/event/2435/
From playlist Workshop “Hamiltonian methods in strongly coupled Quantum Field Theory”
Joan ELIAS MIRÓ - Precise calculations with the Renormalized Hamiltonian Truncation approach
https://indico.math.cnrs.fr/event/2435/
From playlist Workshop “Hamiltonian methods in strongly coupled Quantum Field Theory”
Dana Randall: Sampling algorithms and phase transitions
Markov chain Monte Carlo methods have become ubiquitous across science and engineering to model dynamics and explore large combinatorial sets. Over the last 20 years there have been tremendous advances in the design and analysis of efficient sampling algorithms for this purpose. One of the
From playlist Probability and Statistics
Talk Jingwei Hu: Deterministic solution of the Boltzmann equation Fast spectral methods
The lecture was held within the of the Hausdorff Trimester Program: Kinetic Theory Abstract: The Boltzmann equation, an integro-differential equation for the molecular distribution function in the physical and velocity phase space, governs the fluid flow behavior at a wide range of physi
From playlist Summer School: Trails in kinetic theory: foundational aspects and numerical methods
MLDS 2020 - 3 Boltzmann Generators
From playlist MLDS
Lec 19 | MIT 3.320 Atomistic Computer Modeling of Materials
Free Energies and Physical Coarse-Graining View the complete course at: http://ocw.mit.edu/3-320S05 License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu
From playlist MIT 3.320 Atomistic Computer Modeling of Materials
01 - LATTICE BOLTZMANN METHOD - INTRODUCTION - LEGENDADO: PT-BR
Hello guys, this is my first video of this course, I hope that this may be helpful for other people that are trying to learn the basics of the Lattice Boltzmann Method. Please comments and suggestions are always welcome, so feel yourself comfortable. My Git Hub Blog: https://brunomagach
From playlist Summer of Math Exposition Youtube Videos
Lecture 11E : How a Boltzmann Machine models data
Neural Networks for Machine Learning by Geoffrey Hinton [Coursera 2013] Lecture 11E : How a Boltzmann Machine models data
From playlist Neural Networks for Machine Learning by Professor Geoffrey Hinton [Complete]
P. Di Francesco: "Triangular Ice Combinatorics"
Asymptotic Algebraic Combinatorics 2020 "Triangular Ice Combinatorics" P. Di Francesco - University of Illinois & IPhT Saclay Abstract: Alternating Sign Matrices (ASM) are at the confluent of many interesting combinatorial/algebraic problems: Laurent phenomenon for the octahedron equatio
From playlist Asymptotic Algebraic Combinatorics 2020
Lec 17 | MIT 3.320 Atomistic Computer Modeling of Materials
Monte Carlo Simulations: Application to Lattice Models, Sampling Errors, Metastability View the complete course at: http://ocw.mit.edu/3-320S05 License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu
From playlist MIT 3.320 Atomistic Computer Modeling of Materials
Tensor Network Methods in Four Dimensional Field Theory by Daisuke Kadoh
PROGRAM Nonperturbative and Numerical Approaches to Quantum Gravity, String Theory and Holography (ONLINE) ORGANIZERS: David Berenstein (UCSB), Simon Catterall (Syracuse University), Masanori Hanada (University of Surrey), Anosh Joseph (IISER, Mohali), Jun Nishimura (KEK Japan), David Sc
From playlist Nonperturbative and Numerical Approaches to Quantum Gravity, String Theory and Holography (Online)
Lecture Marie Therese Wolfram: On Boltzmann type equations in socio economic applications
The lecture was held within the of the Hausdorff Junior Trimester Program: Kinetic Theory Abstract: In this talk we discuss how kinetic or so-called Boltzmann type models can be used to describe the dynamics of large interacting agents systems. We focus on two applications – a continuous
From playlist Summer School: Trails in kinetic theory: foundational aspects and numerical methods
Marco Bernardi - Quantum mechanical calculations of electron interactions in condensed matter
Recorded 12 April 2022. Marco Bernardi of the California Institute of Technology presents "Precise quantum mechanical calculations of electron interactions and dynamics in condensed matter" at IPAM's Model Reduction in Quantum Mechanics Workshop. Learn more online at: http://www.ipam.ucla.
From playlist 2022 Model Reduction in Quantum Mechanics Workshop
Why Your Pee Looks Like A Chain
The first 100 people to go to https://blinkist.com/stevemould will get unlimited access for 1 week to try it out. You'll also get 25% off if you want full membership. Have you noticed the shape of your urine stream when you pee? It does this twisty undulating thing. But why? And why do th
From playlist Chemistry
We propose a sparse regression method capable of discovering the governing partial differential equation(s) of a given system by time series measurements in the spatial domain. The regression framework relies on sparsity promoting techniques to select the nonlinear and partial derivative
From playlist Research Abstracts from Brunton Lab