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Activated Events: Molecular Simulations

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Related lectures (31)

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Protein Folding Simulations Log in to Mediaspace to watch this video

Covers theory and practical applications of protein folding simulations using molecular dynamics, focusing on solvent effects and analysis of folding dynamics.

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.

Supramolecular Chemistry: Host-Guest Interactions Log in to Mediaspace to watch this video

Explores host-guest interactions in supramolecular chemistry, covering cyclodextrins, calixarenes, cucurbiturils, and molecular tweezers.

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.

Atomic-Scale Modeling: Introduction & Hands-On Log in to Mediaspace to watch this video

Offers a hands-on introduction to atomic-scale modeling through Jupyter notebooks, focusing on fundamental materials science concepts.

Quantum Many-Body Dynamics: Artificial Neural Network Approach Log in to Mediaspace to watch this video

Discusses simulating quantum many-body dynamics using artificial neural networks to overcome computational challenges and stabilize solutions.

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Supramolecular Chemistry: Basics and Molecular Interactions Log in to Mediaspace to watch this video

Covers the basics of supramolecular chemistry, including self-assembly processes and molecular interactions such as hydrogen bonding and cation-π interactions.

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.

Stochastic Simulation: Computation and Estimation Log in to Mediaspace to watch this video

Covers computation and estimation in stochastic simulation, focusing on generating iid replicas and optimal importance sampling.

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