Mediaspace scheduled maintenance: Aug 25, 2026 07:00 - 12:00 AM. During this time, videos will be temporarily unavailable. Check status updates.

Home

Course

PHYS-754: Lecture series on scientific machine learning

About
Privacy
Disclaimer

Graph Chatbot

Lectures in this course (76)

Neural Quantum States: Applications and Challenges Log in to Mediaspace to watch this video

Explores the applications and challenges of Neural Quantum States in computational quantum science, including frustrated spins and quantum chemistry mappings.

Chemical Environments: Representations and Correlations Log in to Mediaspace to watch this video

Explores chemical environment representations, symmetrized correlations, and machine learning applications at the atomic scale.

Neuroscience Inspired Artificial Intelligence Log in to Mediaspace to watch this video

Explores the historical development of deep learning, reinforcement learning, attention mechanisms, and memory systems in AI inspired by neuroscience.

Neuroscience and AI: Bridging the Gap Log in to Mediaspace to watch this video

Explores the gap between AI and human intelligence through neuroscience-inspired models and algorithms.

Learning in Artificial Neural Networks Log in to Mediaspace to watch this video

Discusses the evolution of artificial neural networks, challenges in supervised learning, and the role of innate behaviors in shaping behavior.

Understanding Visual Cortex with Deep Learning Models Log in to Mediaspace to watch this video

Explores using deep learning models to understand the visual cortex and sensory portraits.

Understanding Proprioception: Neural Network Models Log in to Mediaspace to watch this video

Explores how neural networks can help understand proprioception and muscle contraction.

Protein Residue Coevolution Analysis Log in to Mediaspace to watch this video

Delves into analyzing residue coevolution in protein families to capture native contacts and predict spatial proximity and protein interactions.

Protein Contact Prediction: Pseudolikelihoods and Potts Models Log in to Mediaspace to watch this video

Covers protein contact prediction using Potts models and pseudolikelihood methods, comparing different approaches for contact prediction in proteins.

Invariance Representations: Atomistic Machine Learning Log in to Mediaspace to watch this video

Delves into invariance representations for atomistic machine learning, including symmetry functions and higher-order angular correlations.

Machine Learned Interatomic Potentials Log in to Mediaspace to watch this video

Delves into machine learned interatomic potentials, showcasing their accuracy and cost-effectiveness in predicting chemical properties.

Untitled Log in to Mediaspace to watch this video

Equivariant Structural Representations Log in to Mediaspace to watch this video

Explores equivariant structural representations in atomistic machine learning, emphasizing the importance of representing target properties in the spherical basis.

Tensorial Properties in Scientific Machine Learning Log in to Mediaspace to watch this video

Delves into predicting non-scalar properties beyond energies in scientific machine learning, focusing on dipole moments, polarizability, and dielectric response.

Scientific Machine Learning: Introduction to Spin Glass Models Log in to Mediaspace to watch this video

Introduces Scientific Machine Learning, emphasizing its application in various scientific fields and the connection between machine learning and physics.

Understanding Phase Transitions in Computational Problems Log in to Mediaspace to watch this video

Explores the connection between phase transitions in physics and computational problems, showcasing how insights from physics can inform algorithm design.

Quantum Mechanics and Machine Learning Log in to Mediaspace to watch this video

Explores quantum mechanics, many-body systems, machine learning, and variational methods for efficient quantum property estimation.

Markov Chain Monte Carlo: Detailed Balance & Neural Networks Log in to Mediaspace to watch this video

Covers Markov chain Monte Carlo and neural networks' role in quantum states representation and ground state approximation for frustrated spins systems.

Chemical Reaction Prediction: Molecular Transformer Log in to Mediaspace to watch this video

Explores chemical reaction prediction using generative models and molecular transformers, emphasizing the importance of molecular language processing and stereochemistry.

Molecular Synthesis Planning: Transformer Models and Atom Mapping Log in to Mediaspace to watch this video

Explores Molecular Transformer models, atom mapping, AI synthesis planning, and the transformative role of Transformers in chemistry.

Page 3 of 4