Lectures related to Computational science

Berni Alder Prize: Celebrating 50 Years of CECAM

Commemorates 50 years of CECAM and the Berni J. Alder CECAM Prize, covering milestones in computational methods, quantum mechanics, slip motion, and more.

Computational Quantum Physics

Explores computational methods in quantum physics, emphasizing exact diagonalization and space discretization techniques.

BDEs as a Measure of Radical Stability

Explores bond dissociation energies as a measure of radical stability and the impact of substituents on BDE values.

Activated Events: Molecular Simulations

Explores molecular simulations, enhanced sampling techniques, reaction coordinates, and rare event sampling methods in complex systems.

EPFL Leadership Transition

Discusses the transition of EPFL leadership and the vision for EPFL's future.

Protein Folding: Basics and Models

Explores protein folding basics, stability, mutations, and computational methods.

Laplacian Solvers

Explores Laplacian solvers, covering approximate solutions, applications, error conversion, and theoretical advancements in computational methods.

The Tragedy of the Commons

Delves into the complexity of human society and interdisciplinary topics from the EPFL Magistrale 2019 event.

Trade-offs in Data and Time

Explores trade-offs between data and time in computational problems, emphasizing diminishing returns and continuous trade-offs.

Computational Quantum Physics

Covers path-integral ground state methods and Monte Carlo simulations in computational quantum physics.

Interactive Quantum Mechanics Simulations with OSSCAR

Introduces the OSSCAR framework for interactive quantum mechanics simulations, showcasing current use cases and specific examples like Monte Carlo simulations and 2D diffusion.

Fubini Theorem: Integrability and Order of Integration

Explores the Fubini theorem for integrability in two variables and emphasizes the significance of the order of integration.

Data-Driven Modeling of Haemodynamics in Vascular Flows

Explores data-driven modeling of haemodynamics in vascular flows, focusing on computational challenges, reduced order modeling, FSI problems, and neural network applications.

History of Al-Khwarizmi

Delves into the history of Al-Khwarizmi and his contributions to algorithms and algebra.

Lattice Boltzmann: Turbulence Onset

Explores lattice Boltzmann's role in studying turbulence onset and its advantages in hydrodynamics.

Fixed Energy Propagator: Analytic Structure

Explores the fixed energy propagator's analytic structure and its application in free theory, emphasizing its key properties and computations.

Monte Carlo Simulation of 2D Spin Systems

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

Computational Methods: Paths and Strings Log in to Mediaspace to watch this video

Covers computational methods focusing on paths and strings, including examples of concatenation, regex elements, and string operations.

Data-Driven Modeling in Neuroscience: Meenakshi Khosla Log in to Mediaspace to watch this video

By Meenakshi Khosla explores data-driven modeling in large-scale naturalistic neuroscience, focusing on brain activity representation and computational models.

Scientific Computing in Neuroscience Log in to Mediaspace to watch this video

Explores scientific computing in neuroscience, emphasizing the simulation of neurons and networks using tools like NEURON, NEST, and BRIAN.