Equilibrium occurs when the overall state of a system is constant. Equilibrium can be static (nothing in the system is changing), or dynamic (little parts of the system are changing, but overall the state isn't changing). In my video, I'll demonstrate systems in both types of equilibrium,
From playlist Physics
Dynamics : An overview of the cause of mechanics
Dynamics is a subset of mechanics, which is the study of motion. Whereas kinetics studies that motion itself, dynamics is concerned about the CAUSES of motion. In particular, it involves the concepts of force, momentum and energy. This video gives an overview of what dynamics is, and is u
From playlist Dynamics
Senior Chemistry lesson on reaction kinetics and what the equilibrium constant represents and how to calculate.
From playlist Chemistry
C67 The physics of simple harmonic motion
See how the graphs of simple harmonic motion changes with changes in mass, the spring constant and the values correlating to the initial conditions (amplitude)
From playlist Differential Equations
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
Physics, Torque (13 of 13) Static Equilibrium, Mobile Calculations
This video shows you how to calculate the mass and lever arm of the objects hanging on the mobile so that it will balance. Torque is a rotating force. It is a measure of how much force is acting on an object that causes the object to rotate. The object will rotate about an axis, which is
From playlist Torque and Static Equilibrium
Equilibrium Solutions and Stability of Differential Equations (Differential Equations 36)
https://www.patreon.com/ProfessorLeonard Exploring Equilibrium Solutions and how critical points relate to increasing and decreasing populations.
From playlist Differential Equations
Aneta Stefanovska - Time: How it matters - IPAM at UCLA
Recorded 31 August 2022. Aneta Stefanovska of Lancaster University presents "Time: How it matters?" at IPAM's Reconstructing Network Dynamics from Data: Applications to Neuroscience and Beyond. Abstract: The simplest definition of dynamics is the evolution of position in time and space. Fo
From playlist 2022 Reconstructing Network Dynamics from Data: Applications to Neuroscience and Beyond
Introduction to Equilibrium | Statics
https://goo.gl/y06Ang for more FREE video tutorials covering Engineering Mechanics (Statics & Dynamics) The objectives of this video are to briefly discuss about equilibrium and relate equilibrium concepts to finding reaction forces. Basically equilibrium refers to analysis of forces subj
From playlist SpoonFeedMe: Engineering Mechanics (Statics & Dynamics)
Networks: Part 5 - Oxford Mathematics 4th Year Student Lecture
Network Science provides generic tools to model and analyse systems in a broad range of disciplines, including biology, computer science and sociology. This course (we are showing the whole course over the next few weeks) aims at providing an introduction to this interdisciplinary field o
From playlist Oxford Mathematics Student Lectures - Networks
Benedetto Piccoli: "Beyond Vehicles and Other Flow Systems"
Mathematical Challenges and Opportunities for Autonomous Vehicles Tutorials 2020 "Beyond Vehicles and Other Flow Systems" Benedetto Piccoli - Rutgers University-Camden Institute for Pure and Applied Mathematics, UCLA September 25, 2020 For more information: https://www.ipam.ucla.edu/avt
From playlist Mathematical Challenges and Opportunities for Autonomous Vehicles 2020
Modelling opinion dynamics: Two recent social phenomena by Parongama Sen
Program Summer Research Program on Dynamics of Complex Systems ORGANIZERS: Amit Apte, Soumitro Banerjee, Pranay Goel, Partha Guha, Neelima Gupte, Govindan Rangarajan and Somdatta Sinha DATE : 15 May 2019 to 12 July 2019 VENUE : Madhava hall for Summer School & Ramanujan hall f
From playlist Summer Research Program On Dynamics Of Complex Systems 2019
Workshop context setting; Phase transitions in distributed by Partha Mitra
Statistical Physics Methods in Machine Learning DATE: 26 December 2017 to 30 December 2017 VENUE: Ramanujan Lecture Hall, ICTS, Bengaluru The theme of this Discussion Meeting is the analysis of distributed/networked algorithms in machine learning and theoretical computer science in the "t
From playlist Statistical Physics Methods in Machine Learning
Foundational Aspects of Blockchain Protocols (Lecture 2) by Juan Garay
DISCUSSION MEETING : FOUNDATIONAL ASPECTS OF BLOCKCHAIN TECHNOLOGY ORGANIZERS : Pandu Rangan Chandrasekaran DATE : 15 to 17 January 2020 VENUE : Madhava Lecture Hall, ICTS, Bangalore Blockchain technology is among one of the most influential disruptive technologies of the current decade.
From playlist Foundational Aspects of Blockchain Technology 2020
Arnab Sen : Majority dynamics on the infinite 3-regular tree
Recording during the meeting "Spectra, Algorithms and Random Walks on Random Networks " the January 14, 2019 at the Centre International de Rencontres Mathématiques (Marseille, France) Filmmaker: Guillaume Hennenfent Find this video and other talks given by worldwide mathematicians on CIRM
From playlist Probability and Statistics
You may have seen some of my Q&A videos posted to YouTube and wondered where they come from. Some of them come from monthly Livestream Q&A sessions with people who support me on Patreon. (We call Patrons what they are: Community Builders.) Recently, Community Builders voted to open up thes
From playlist Bitcoin Q&A
GLOM: How to represent part-whole hierarchies in a neural network (Geoff Hinton's Paper Explained)
#glom #hinton #capsules Geoffrey Hinton describes GLOM, a Computer Vision model that combines transformers, neural fields, contrastive learning, capsule networks, denoising autoencoders and RNNs. GLOM decomposes an image into a parse tree of objects and their parts. However, unlike previo
From playlist Papers Explained
Courses - G. JONA LASINIO “Macroscopic Fluctuation Theory”
Stationary non-equilibrium states describe steady flows through macroscopic systems. Although they represent the simplest generalization of equilibrium states, they exhibit a variety of new phenomena. Within a statistical mechanics approach, these states have been the subject of several th
From playlist T1-2015 : Disordered systems, random spatial processes and some applications
The evolution of rapidly evolving RNA viruses by Richard Neher
Winter School on Quantitative Systems Biology DATE:04 December 2017 to 22 December 2017 VENUE:Ramanujan Lecture Hall, ICTS, Bengaluru The International Centre for Theoretical Sciences (ICTS) and the Abdus Salam International Centre for Theoretical Physics (ICTP), are organizing a Winter S
From playlist Winter School on Quantitative Systems Biology