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.
Materials Science and Discovery Powered by Machine Learning
Explore machine learning applications in materials science, focusing on innovative discovery techniques and computational advancements in the field.
Recent Advances in Density Functional Theory for Complex Correlated Materials
Explore recent advances in density functional theory for complex correlated materials, presented by Dr. Christopher Lane of Los Alamos National Lab.
Hadron Spectroscopy - Part 2
Explore advanced concepts in hadron spectroscopy, including scattering theory, quantum electrodynamics, and amplitude unitarity. Deepen understanding of particle physics principles.
Hadron Spectroscopy - Part 1 of 2
Explore hadron spectroscopy, quantum theories, and particle physics concepts through interactive notebooks and comprehensive reviews of fundamental principles.
Crystallization Machine Learning - Theory and Simulation Techniques
Explore machine learning applications in crystallization, from molecular dynamics to enhanced sampling techniques for rare events and homogeneous nucleation.
Introduction to Quantum Computing
Explore quantum computing fundamentals, including qubits, superposition, and entanglement. Gain insights into potential applications and future implications of this revolutionary technology.
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.
QCD Spectroscopy 2023 - Part 1 of 2
Explore quantum chromodynamics spectroscopy, delving into the study of hadron properties and interactions through advanced theoretical and computational methods.
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.
First Principles Thermodynamics
Explore computational condensed matter using first principles thermodynamics, gaining insights into advanced techniques and applications.
Lattice Dynamics
Explore lattice dynamics through an in-depth seminar, gaining insights into crystal structures and their vibrational properties from expert Prof. Bartomeu Monserrat.
Concepts in the Computational Study of Correlated Electron Materials
Explore computational methods for studying correlated electron materials, focusing on advanced concepts and techniques in materials science and chemistry.
AdS/CFT Correspondence for Scalar Field Theory in Lattice AdS_2 and AdS_3
Explore the AdS/CFT correspondence for scalar field theory in lattice AdS_2 and AdS_3, delving into advanced concepts in theoretical physics and string theory.
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.
CHGNet: A Pre-trained Universal Interatomic Potential for Electron-Coupled Ionic Systems
Explore CHGNet, a graph-neural-network-based machine-learning potential for modeling universal potential energy surfaces in large-scale simulations with complex electron interactions.
Efficient Calculations of Electronic Structures with Machine-Learning Models
Explore machine learning models for efficient electronic structure calculations in materials discovery and drug design, focusing on density functional theory and the Materials Learning Algorithms library.
AI and the Second Revolution in Weather and Climate Prediction
Explore AI's transformative impact on weather and climate prediction, revolutionizing forecasting techniques and enhancing our understanding of atmospheric dynamics.
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.
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.