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MILP Model and Typical Days by FM
Discusses MILP model, typical days, clustering, and extreme periods analysis in energy systems optimization.
Physics-inspired Machine Learning for Materials Discovery
Delves into physics-inspired machine learning for materials discovery, emphasizing atomic-scale modeling, thermodynamics, anharmonic free energies, and symmetry in machine learning models.
Capacitor and Self-Heating in a Wire
Covers the simulation of a capacitor and self-heating in a wire using Comsol.
Paramagnetism: Microcanonical vs Canonical Treatment
Delves into the microcanonical and canonical treatment of paramagnetism in external fields.
Thermal Analysis of Foundry: Chvorinov Theory
Explores foundry casting conditions, defects reduction, and Chvorinov's thermal analysis theory in the foundry process.
Computational Quantum Physics
Covers path-integral ground state methods and Monte Carlo simulations in computational quantum physics.
Temperature and Agitation Analysis
Covers the analysis of temperature and agitation in a controlled chamber.
Atmospheric Models: Homogeneous & Constant Gradient
Covers the concepts of homogeneous atmosphere, adiabatic atmosphere, and constant gradient atmosphere.
Vector Fields: Gradient and Divergence
Covers vector fields, gradient, divergence, heat flux, and stress tensors.
Applications of Fourier Equation
Explores applications of the Fourier equation in different heat transfer scenarios.