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The Julia Programming Language

Docs, CI Tests, Error Messages, and Interfaces in Julia's SciML - JuliaCon 2024

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Explore SciML's infrastructure practices in Julia, covering documentation, testing, error handling, and benchmarking. Gain insights into scalable and reproducible numerical ecosystems for Julia developers.
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1 Lesons
30 minutes
On-Demand
Free-Video
The Julia Programming Language

JuliaSim: Machine Learning Accelerated Modeling and Simulation

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Explore JuliaSim: Accelerate modeling and simulation with machine learning. Learn about fast differential equation solvers, neural network integration, and surrogate models for enhanced computational efficiency.
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19 Lesons
30 minutes
On-Demand
Free-Video
The Julia Programming Language

Solving Fractional Differential Equations with FractionalDiffEq.jl

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Discover how to solve complex fractional differential equations using FractionalDiffEq.jl, a powerful Julia package that integrates with SciML for advanced mathematical modeling and scientific computing.
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1 Lesons
33 minutes
On-Demand
Free-Video
MICDE University of Michigan

UQ for ML and ML for UQ - Uncertainty Quantification and Machine Learning in Physics-Based Modeling

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Explore the interplay between Uncertainty Quantification and Machine Learning in physics-based modeling, examining their roles in solving complex computational challenges across various applications.
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1 Lesons
57 minutes
On-Demand
Free-Video
Alan Turing Institute

Leveraging Physics-Induced Bias in Scientific Machine Learning for Computational Mechanics

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Explore physics-induced bias in scientific machine learning for computational mechanics, focusing on physics-informed, structure-preserved learning for irregular geometries.
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1 Lesons
1 hour 8 minutes
On-Demand
Free-Video
Alan Turing Institute

Generalizing Scientific Machine Learning and Differentiable Simulation Beyond Continuous Models

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Explore advanced scientific machine learning, extending differentiable simulation to complex models like jump diffusions and agent-based systems, addressing challenges in implementation and numerical stability.
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1 Lesons
1 hour 7 minutes
On-Demand
Free-Video
The Julia Programming Language

Hierarchical Component-Based Modeling with ModelingToolkit.jl

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Explore hierarchical component-based modeling using ModelingToolkit.jl for efficient simulation of complex systems. Learn to build, simplify, and analyze large-scale models with Julia's SciML ecosystem.
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1 Lesons
2 hours 58 minutes
On-Demand
Free-Video
AAAS Annual Meeting

AI for Science - Expo Stage Talk - AAAS Annual Meeting

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Explore the impact of deep learning on scientific research, from cryoelectron microscopy to AlphaFold, and discover how AI is revolutionizing various scientific disciplines.
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11 Lesons
25 minutes
On-Demand
Free-Video
The Julia Programming Language

Raising the Ki of a SciML Model - Enhancing GOKU-nets for Scientific Machine Learning

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Explore advanced SciML techniques with GOKU-UI, enhancing Latent ODEs through attention mechanisms and multiple shooting. Learn to improve model performance and data efficiency for complex system modeling.
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1 Lesons
11 minutes
On-Demand
Free-Video
The Julia Programming Language

ODINN.jl - Multi-language Geoscientific Machine Learning for Glacier Evolution Modeling

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Explore ODINN.jl, a global glacier evolution model using Julia's SciML capabilities for geoscientific machine learning, combining differential equations with Python tools for flexible, multi-language modeling.
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1 Lesons
10 minutes
On-Demand
Free-Video
The Julia Programming Language

PEtab.jl - Efficient Parameter Estimation for Dynamic Models

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Explore efficient parameter estimation for dynamic models in biology using PEtab.jl. Learn to import problems, set up estimations, and choose optimal gradient computation methods.
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1 Lesons
27 minutes
On-Demand
Free-Video
The Julia Programming Language

Model Reparametrization with StructuralIdentifiability.jl - JuliaCon 2024

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Explore StructuralIdentifiability.jl's new features for rapid identification of identifiable functions and model reparametrization, enhancing modeling and control practices.
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1 Lesons
11 minutes
On-Demand
Free-Video
The Julia Programming Language

FMIExchange.jl - Foreign Models Through a Familiar Interface

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Explore FMIExchange.jl for seamless integration of FMI-compliant models with Julia's DifferentialEquations.jl, enabling multi-model simulations and advanced control strategies in complex systems.
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1 Lesons
11 minutes
On-Demand
Free-Video
The Julia Programming Language

ProcessSimulator.jl - A Differentiable Chemical Process Simulator

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Differentiable chemical process simulator leveraging symbolic transformations and automatic differentiation for robust flowsheeting, thermodynamic property calculations, and system-level optimization in Julia.
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1 Lesons
11 minutes
On-Demand
Free-Video
The Julia Programming Language

Combined Stochastic Models for Cancer Patient Trajectories

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Integrating diverse clinical data into a unified stochastic model for cancer patient trajectories, combining tumor growth, metastasis, and survival data using Julia for simulation and Bayesian inference.
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1 Lesons
24 minutes
On-Demand
Free-Video
The Julia Programming Language

Interpretable Hierarchical Calibration of Agent-Based Models

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Explore scientific machine learning's fusion of traditional modeling and ML, focusing on neural network surrogates for agent-based models in epidemiology and automated hierarchical calibration.
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1 Lesons
27 minutes
On-Demand
Free-Video
Inside Livermore Lab

Infinite Dimensional Optimization for Scientific Machine Learning

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Explore advanced optimization techniques in scientific machine learning, focusing on infinite-dimensional perspectives and the "first optimize, then discretize" paradigm for neural network applications.
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1 Lesons
51 minutes
On-Demand
Free-Video
Inside Livermore Lab

Generalizing Scientific Machine Learning and Differentiable Simulation Beyond Continuous Models

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Explore generalizing scientific machine learning beyond continuous models, covering differentiable simulation for chaotic systems, stochastic processes, and inverse problems in advanced scientific computing.
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1 Lesons
58 minutes
On-Demand
Free-Video
Inside Livermore Lab

Towards Third Wave AI: Interpretable, Robust Trustworthy Machine Learning

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Explore new theories and algorithms for complex dynamical systems, creating trustworthy AI for real-time prediction and national security applications. Learn about innovative neural networks and physics-integrated models.
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1 Lesons
49 minutes
On-Demand
Free-Video
MICDE University of Michigan

Foundational Methods for Foundation Models in Scientific Machine Learning - Lecture 6

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Explore foundational methods for scientific machine learning models, addressing challenges in integrating data-driven ML with domain-driven scientific computing methodologies.
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1 Lesons
44 minutes
On-Demand
Free-Video
The Julia Programming Language

State of Julia's SciML Ecosystem - Current Status and Future Directions

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Comprehensive overview of Julia's SciML ecosystem, highlighting maturity levels of various packages, current development focus, and future directions in scientific machine learning and differential equations.
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1 Lesons
31 minutes
On-Demand
Free-Video
VinAI

Model-Constrained Deep Learning Approaches for Scientific Machine Learning

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Explore model-aware machine learning methods combining scientific computing and data-driven models. Learn about ROM-ML and Autoencoder-based Inversion approaches for PDE-constrained inverse problems.
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1 Lesons
1 hour 18 minutes
On-Demand
Free-Video
Inside Livermore Lab

Differentiable Programming for Modeling and Control of Dynamical Systems

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Explore differentiable programming for optimal control of dynamical systems, focusing on differentiable predictive control and its applications in building control and power systems optimization.
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1 Lesons
1 hour 6 minutes
On-Demand
Free-Video
Inside Livermore Lab

Scientific Machine Learning through the Lens of Physics-Informed Neural Networks

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Explore physics-informed neural networks (PINNs) as an alternative to traditional scientific computation, addressing limitations and showcasing applications in solving complex physical problems.
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1 Lesons
1 hour 3 minutes
On-Demand
Free-Video
Inside Livermore Lab

Deep Neural Operators with Reliable Extrapolation for Multiphysics and Multiscale Problems

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Explore deep neural operators for complex systems, focusing on DeepONet and its extensions for multiphysics and multiscale problems. Learn about extrapolation challenges and solutions in deep learning models.
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1 Lesons
1 hour
On-Demand
Free-Video
Inside Livermore Lab

Neural Differentiable Physics: Unifying Numerical PDEs and Deep Learning for Data-Augmented Computational Physics

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Explore Neural Differentiable Physics, unifying numerical PDEs and deep learning for enhanced computational modeling of complex physical systems. Learn innovative SciML approaches integrating physics principles with AI.
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1 Lesons
1 hour 28 minutes
On-Demand
Free-Video
Centre International de Rencontres Mathématiques

Towards Data-Driven High Fidelity CFD - Lecture 2

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Explore data-driven approaches for high-fidelity computational fluid dynamics in this advanced lecture on scientific machine learning and CFD techniques.
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1 Lesons
1 hour 21 minutes
On-Demand
Free-Video
Centre International de Rencontres Mathématiques

Towards Data-Driven High Fidelity CFD - Lecture 1

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Explore data-driven high fidelity CFD, covering shock droplet interaction, icing, multiscale analysis, DG schemes, and scientific machine learning applications in computational fluid dynamics.
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34 Lesons
1 hour 19 minutes
On-Demand
Free-Video
Centre International de Rencontres Mathématiques

Data-Driven Latent Representations for Time-Dependent Problems - Lecture 3

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Explore data-driven latent representations for time-dependent problems, focusing on applications in climate downscaling, superresolution, and optimal transport.
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17 Lesons
1 hour 4 minutes
On-Demand
Free-Video
Centre International de Rencontres Mathématiques

Linear and Nonlinear Schemes for Forward Model Reduction and Inverse Problems - Lecture 3

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Explore linear and nonlinear schemes for forward model reduction and inverse problems in this advanced mathematics lecture by Olga Mula.
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1 Lesons
1 hour 11 minutes
On-Demand
Free-Video
Centre International de Rencontres Mathématiques

Finite Neuron Method - Lecture 1

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Explore finite neuron method fundamentals, covering finite element method, neural networks, and adaptive PD. Gain insights into mathematical concepts and their applications.
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14 Lesons
1 hour 23 minutes
On-Demand
Free-Video
MICDE University of Michigan

Neural Scaling Laws - Fitting Scaling Laws for Scientific Foundation Models - Tutorial 3

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Explore neural scaling laws and learn techniques for fitting scaling laws to scientific foundation models in this advanced tutorial.
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1 Lesons
1 hour 5 minutes
On-Demand
Free-Video