Lightcone Conformal Truncation and S-matrix Bootstrap

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Explores the Renormalization Group in field theory, discussing scaling functions, critical exponents, and Gaussian fixed points.

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Computational Science and Engineering: Master Program Overview

Outlines the Master in Computational Science and Engineering program at EPFL, detailing its structure, projects, and career opportunities for graduates.

Monte Carlo Simulation of 2D Spin Systems

Explores Monte Carlo simulation of 2D spin systems and the Ising model.

Finite Differences and Finite Elements: Variational Formulation

Discusses finite differences and finite elements, focusing on variational formulation and numerical methods in engineering applications.

Variational Method in Relativistic Quantum Field Theory

Delves into the variational method in relativistic quantum field theory without cutoff, emphasizing weakly entangled states and the transition to relativistic continuous matrix product states.

Statistical Field Theory

Covers the basics of statistical field theory, focusing on Ising models and the Ginsburg-Landau theory.

Stochastic Differential Equations: Mean-Field Inference

Explores inference for stochastic differential equations, focusing on numerical methods and convergence analysis.

Master's Program in Computational Science and Engineering

Outlines the Master's program in Computational Science and Engineering at EPFL, detailing its structure, curriculum, and career opportunities for graduates.

Renormalization & Scaling

Explores renormalization, scaling, critical points, exponents, and phase transitions in conformal field theory and quantum gravity.