Cambridge Materials Courses

A Quantum Computing Algorithm to Speed Up Metropolis Sampling

Explore a quantum algorithm for accelerating Metropolis sampling in multidimensional systems, leveraging wave function collapses for non-local configuration space moves.

• YouTube
• 24 minutes
• On-Demand
• Free Video

Deltoidal Icositetrahedron Faceting on Alpha-Iron Crystals from the Moon's Surface

Explore crystallographic analysis of lunar iron crystals, examining unique deltoidal icositetrahedron faceting and its implications for understanding crystal growth in the lunar environment.

• YouTube
• 26 minutes
• On-Demand
• Free Video

Information Scrambling: A Path-Integral Perspective

Explore quantum information scrambling, its quantification through Lyapunov exponents, and the role of path integrals in understanding universal bounds on chaos in thermal quantum systems.

• YouTube
• 22 minutes
• On-Demand
• Free Video

Fully Quantum (Bio)Molecular Simulations - Dream or Reality?

Explore quantum-mechanical and machine learning advances in molecular simulations, their potential impact, and challenges in achieving fully quantum dynamics of complex biomolecular systems.

• YouTube
• 25 minutes
• On-Demand
• Free Video

Ab Initio Charge Transport of Ionic Fluids: Invariance Principles and Topological Invariants

Explore ab initio charge transport in ionic fluids, combining invariance principles and topological quantization to redefine oxidation numbers and electrical conductivity calculations.

• YouTube
• 26 minutes
• On-Demand
• Free Video

A Weak Convergence Viewpoint on Invertible Coarse-Graining

Explore weak convergence in invertible coarse-graining, combining force-matching with neural networks to recover fine-grained free energy surfaces in biomolecular systems.

• YouTube
• 27 minutes
• On-Demand
• Free Video

Exploring Chemical Reactions Through Automation and Machine Learning

Explore efficient strategies for generating machine learned potentials to study reaction mechanisms in gas-phase and solution, achieving ab initio accuracy with minimal computational investment.

• YouTube
• 22 minutes
• On-Demand
• Free Video

Using Sequence Data to Predict the Self-Assembly of Supramolecular Collagen Structures

Explore collagen self-assembly prediction using amino acid sequences. Learn to design custom periodic collagen structures for novel biomimetic materials.

• YouTube
• 21 minutes
• On-Demand
• Free Video

Wavepacket Studies of the Water-Dimer - Insights from Exact Quantum Dynamics

Explore wavepacket quantum dynamics of water-dimer, revisiting infrared spectrum in OH-stretch region and validating theoretical descriptions using accurate simulations on recent potential energy surfaces.

• YouTube
• 32 minutes
• On-Demand
• Free Video

Ion Effects in Aqueous Electrolyte Solutions from Ab Initio Derived Neural Network Potentials

Explore ion effects on water structure and dynamics using neural network potentials trained on DFT predictions, overcoming limitations of conventional empirical models for electrolyte solutions.

• YouTube
• 21 minutes
• On-Demand
• Free Video

Quantitative Modeling of Magnetic Materials at the Atomic Scale

Explore quantitative modeling of magnetic materials at atomic scale, focusing on atomistic spin dynamics and quantum thermostat implementation for accurate thermodynamic calculations.

• YouTube
• 25 minutes
• On-Demand
• Free Video

Near-atomistic Modeling of Chromatin - Insights into Structure and Dynamics

Explore near-atomistic modeling of chromatin structure, folding pathways, and sol-gel transitions. Gain insights into genome organization and chromatin behavior under various conditions.

• YouTube
• 22 minutes
• On-Demand
• Free Video

Pre-training Molecular Graph Representation with 3D Geometry

Explore molecular graph representation learning, leveraging 3D geometry for enhanced drug and material discovery through self-supervised learning and the GraphMVP framework.

• YouTube
• 25 minutes
• On-Demand
• Free Video

Water Transport in Boron Nitride Nanotube Membranes

Explore water transport in boron nitride nanotube membranes, comparing with carbon nanotubes. Analyze flow resistance factors and simulation challenges to understand contradictions in literature.

• YouTube
• 21 minutes
• On-Demand
• Free Video

Zentropy Theory: Predicting Macroscopic Properties and Emergent Behaviors in Materials

Explore zentropy theory's integration of statistical and quantum mechanics to predict emergent behaviors in magnetic and ferroelectric materials, including critical point singularities and cross-phenomena coefficients.

• YouTube
• 48 minutes
• On-Demand
• Free Video