Studying Martian Igneous Samples to Constrain the Evolution of the Martian Interior
Explore Mars' interior evolution through igneous sample analysis, combining meteorite data with Perseverance rover findings from Jezero crater to unravel Martian geological history.
What Might Artemis Astronauts Encounter at the Lunar South Pole?
Explore potential challenges and discoveries awaiting Artemis astronauts at the Moon's South Pole, including unique geological features and resource opportunities.
ExMASS 2023-2024 Final Presentations
Explore lunar and asteroid research as high school students present their findings in NASA's ExMASS program, showcasing innovative scientific investigations and discoveries.
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.
Structure Prediction with Computational Methods
Explore computational methods for predicting material structures, focusing on advanced techniques and their applications in materials science.
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.
Black Lives Count: Toward Accountability in Efforts to Diversify Computing
Explore data-driven approaches to diversify computing, focusing on African-American representation. Analyze hiring practices, pipeline issues, and benefits of diversity in scientific research.
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.