Multiscale Green's function (MSGF) is a generalized and extended version of the classical Green's function (GF) technique for solving mathematical equations. The main application of the MSGF technique is in modeling of nanomaterials. These materials are very small – of the size of few nanometers. Mathematical modeling of nanomaterials requires special techniques and is now recognized to be an independent branch of science. A mathematical model is needed to calculate the displacements of atoms in a crystal in response to an applied static or time dependent force in order to study the mechanical and physical properties of nanomaterials. One specific requirement of a model for nanomaterials is that the model needs to be multiscale and provide seamless linking of different length scales. Green's function (GF) was originally formulated by the British mathematical physicist George Green in the year 1828 as a general technique for solution of operator equations. It has been extensively used in mathematical Physics over the last almost two hundred years and applied to a variety of fields. Reviews of some applications of GFs such as for many body theory and Laplace equation are available in the Wikipedia. The GF based techniques are used for modeling of various physical processes in materials such as phonons, Electronic band structure and elastostatics. (Wikipedia).
Local linearity for a multivariable function
A visual representation of local linearity for a function with a 2d input and a 2d output, in preparation for learning about the Jacobian matrix.
From playlist Multivariable calculus
11_2_1 The Geomtery of a Multivariable Function
Understanding the real-life 3D meaning of a multivariable function.
From playlist Advanced Calculus / Multivariable Calculus
Math 032 Multivariable Calculus 20 111714: Green's Theorem
Green's theorem. Statement, examples (including one in which the curve can be deformed), proof of (part of) simple case.
From playlist Course 4: Multivariable Calculus (Fall 2014)
19_1_2 Example problem using theorem of Green to solve for a line integral
Example problem using the theorem of Green to solve for a line integral.
From playlist Advanced Calculus / Multivariable Calculus
An introduction to how the jacobian matrix represents what a multivariable function looks like locally, as a linear transformation.
From playlist Multivariable calculus
Numerical Homogenization Approaches for Nonlinear Problems by Barbara Verfürth
DISCUSSION MEETING Multi-Scale Analysis: Thematic Lectures and Meeting (MATHLEC-2021, ONLINE) ORGANIZERS: Patrizia Donato (University of Rouen Normandie, France), Antonio Gaudiello (Università degli Studi di Napoli Federico II, Italy), Editha Jose (University of the Philippines Los Baño
From playlist Multi-scale Analysis: Thematic Lectures And Meeting (MATHLEC-2021) (ONLINE)
In this video, I give a broad overview of vector calculus, focusing more on the main concepts rather than explicit calculations. I try to emphasize how the concepts relate, and that they should correspond to what we intuitively think they are. More precisely, I'm covering the following t
From playlist Multivariable Calculus
Multivariable Calculus | Differentiability
We give the definition of differentiability for a multivariable function and provide a few examples. http://www.michael-penn.net https://www.researchgate.net/profile/Michael_Penn5 http://www.randolphcollege.edu/mathematics/
From playlist Multivariable Calculus
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Axel Målqvist: Localization of multiscale problems
The lecture was held within the framework of the Hausdorff Trimester Program Multiscale Problems: Workshop on Numerical Inverse and Stochastic Homogenization. (13.02.2017) We will present the Local Orthogonal Decomposition technique for solving partial differential equations with multisca
From playlist HIM Lectures: Trimester Program "Multiscale Problems"
Multivariable maxima and minima
A description of maxima and minima of multivariable functions, what they look like, and a little bit about how to find them.
From playlist Multivariable calculus
Weinan E: "Machine learning based multi-scale modeling"
Machine Learning for Physics and the Physics of Learning 2019 Workshop II: Interpretable Learning in Physical Sciences "Machine learning based multi-scale modeling" Weinan E - Princeton University, Mathematics Abstract: We will discuss a general methodology for developing reliable and in
From playlist Machine Learning for Physics and the Physics of Learning 2019
Multiscale Expansion Method for Periodic Homogenization (Lecture 1) by Editha Jose
PROGRAM: MULTI-SCALE ANALYSIS AND THEORY OF HOMOGENIZATION ORGANIZERS: Patrizia Donato, Editha Jose, Akambadath Nandakumaran and Daniel Onofrei DATE & TIME: 26 August 2019 to 06 September 2019 VENUE: Madhava Lecture Hall, ICTS, Bangalore Homogenization is a mathematical procedure to under
From playlist Multi-scale Analysis And Theory Of Homogenization 2019
Kurt Kremer: Multiscale modeling for soft matter - Perspectives and challenges
Abstract: Material properties of soft matter are governed by a delicate interplay of energetic and entropic contributions. In other words, generic universal aspects are as relevant as local chemistry specific properties. Thus many different time and length scales are intimately coupled, wh
From playlist Numerical Analysis and Scientific Computing
Giulia Galli - Embedding theories for quantum simulations on hybrid classical-quantum architectures
Recorded 28 March 2022. Giulia Galli of the University of Chicago, Chemistry, presents "Embedding theories for quantum simulations on hybrid classical-quantum architectures" at IPAM's Multiscale Approaches in Quantum Mechanics Workshop. Abstract: We discuss a quantum embedding theory [1] t
From playlist 2022 Multiscale Approaches in Quantum Mechanics Workshop
Lin Lin - Quantum impurity and quantum embedding theory - IPAM at UCLA
Recorded 29 March 2022. Lin Lin of the University of California, Berkeley, presents "Quantum impurity and quantum embedding theory" at IPAM's Multiscale Approaches in Quantum Mechanics Workshop. Learn more online at: http://www.ipam.ucla.edu/programs/workshops/workshop-i-multiscale-approac
From playlist 2022 Multiscale Approaches in Quantum Mechanics Workshop
Andrew Millis - Twisted Transition Metal Dicalcogenides: Tests of Quantum Embedding and Theories
Recorded 29 March 2022. Andrew Millis of Columbia University presents "Twisted Transition Metal Dicalcogenides: Experimental Tests of Quantum Embedding and Theories" at IPAM's Multiscale Approaches in Quantum Mechanics Workshop. Abstract: The essential task of quantum many-body theory is t
From playlist 2022 Multiscale Approaches in Quantum Mechanics Workshop
Dominika Zgid - Post-DFT Green's function embedding - IPAM at UCLA
Recorded 28 March 2022. Dominika Zgid of the University of Michigan presents "Post-DFT Green's function embedding" at IPAM's Multiscale Approaches in Quantum Mechanics Workshop. Abstract: I will present a detailed discussion of the methods that we are developing in my group for post-DFT ca
From playlist 2022 Multiscale Approaches in Quantum Mechanics Workshop