Active Matter Model of Multicellular Tissue Dynamics
Explore active matter models for multicellular tissue dynamics, examining non-equilibrium processes in physics and biology.
Nonequilibrium Response Theory for Soft and Active Matter
Explore nonequilibrium statistical physics for colloidal suspensions and active particles using the ITT framework. Examine stochastic processes, nonlinear response, and applications in shear and microswimmers.
GPU Computing and Krylov Solvers
Explore GPU computing and Krylov solvers for advanced numerical computations, enhancing problem-solving skills in high-performance computing environments.
Phonons and Structural Transitions from DFT and Group Theory - Part 2
Explore phonons and structural transitions using DFT and group theory, advancing understanding of material properties and phase changes.
Phonons and Structural Transitions from DFT and Group Theory - Part 1
Explore phonons and structural transitions using DFT and group theory, gaining insights into fundamental concepts and advanced computational techniques.
Phi^4 Theory and the Ising Model on a Sphere
Explore phi^4 theory and Ising model on spherical geometry, gaining insights into advanced physics concepts and their applications.
Lab Notebooks for Computational Mathematics, Sciences and Engineering
Explore lab notebooks' adaptation to computational research, with examples addressing challenges in transitioning from experimental to computational sciences.
Facilitating Electronic Structure Computations on GPU-based Exascale Platforms
Explore GPU-based electronic structure computations for exascale platforms using PROGRESS and BML libraries. Learn implementation strategies, performance optimization, and scaling techniques.
Computational Inverse Design of Deployable Structures
Explore computational design methodologies for deployable structures, combining geometry, simulation, and optimization to create innovative material systems with multiple geometric states.
Diffusion Models for Solving Forward and Inverse Problems in PDEs - Tutorial 3
Explore diffusion models for solving forward and inverse problems in partial differential equations with expert Tony Zhuang.
Neural Scaling Laws - Fitting Scaling Laws for Scientific Foundation Models - Tutorial 3
Explore neural scaling laws and learn techniques for fitting scaling laws to scientific foundation models in this advanced tutorial.
Pathwise Conditioning and Non-Euclidean Gaussian Processes
Explore advanced Gaussian process techniques for efficient Bayesian optimization, including pathwise conditioning and models on graphs and manifolds, enhancing decision-making in complex settings.
Limitations of Stochastic Selection with Pairwise Independent Priors
Explore stochastic selection problems with pairwise-independent priors and matroid constraints, examining limitations and optimal bounds for contention resolution and prophet inequalities.
Algorithms and Hardness for Attention and Kernel Density Estimation
Explore algorithmic techniques for Attention and Kernel Density Estimation, examining fast algorithms and hardness results to optimize computational efficiency in machine learning and statistical tasks.
Modern Fortran - A Contradiction or Future-Proof Language?
Explore modern Fortran's evolution, focusing on program design, parallelism, and interoperability. Discover how this 65-year-old language remains relevant for scientific simulations.
Quantum Speedups for Nonconvex Optimization via Quantum Tunneling Walks
Explore quantum speedups for nonconvex optimization using quantum tunneling walks. Learn how this approach outperforms classical algorithms in specific landscapes with high, thin barriers between minima.
Resonant Fractional Conductance in 1D Wigner Chains
Explore resonant fractional conductance in 1D Wigner chains, focusing on quantum point contacts, fractionally charged solitons, and conductance patterns in spinless and spinful cases.
Non-reciprocal Quantum Matter: Quantum Geometry and Kramers Degeneracy
Explore non-reciprocal quantum matter, focusing on quantum geometry and Kramers degeneracy. Delve into field-free paradigms, linear and nonlinear phenomena, and extreme nonlinearities in layered materials.
Discovery in High Dimensions - 2008
Explore statistical methods for uncovering hidden structures in high-dimensional data from various fields, including genetics, astronomy, and consumer behavior.
On Growth and Form and Mathematics: Reading D'Arcy Thompson 100 Years On - Rothschild Lecture
Explore the enduring impact of D'Arcy Thompson's "On Growth and Form" on modern science, examining its themes and relevance to understanding morphogenesis.
Nematic Liquid Crystals: Where Mathematics Meets Physics and Applications
Explore the fascinating intersection of mathematics, physics, and applications in nematic liquid crystals with Prof. Apala Majumdar's insightful lecture.