Applied Sciences & Engineering PhysicsENSophia Henneberg - Optimization of Quasi-Axisymmetric Stellarator- ; Tokamak Hybrids - IPAM at UCLASophia HennebergMay 21, 2026 45 min★ ★ ★ ★ ☆ 4/5StellaratorTokamakFusion
Formal & Physical Sciences PhysicsENCory Hauck - Approximate entropy-based moment closures - IPAM at UCLACory HauckMay 21, 2026 42 min★ ★ ★ ★ ☆ 4/5Moment ClosuresEntropyKinetic Theory
Applied Sciences & Engineering PhysicsENAndy Rothstein - AI-Driven Event Prediction and Fault-Resilient Plasma Control on DIII-DAndy RothsteinMay 21, 2026 40 min★ ★ ★ ★ ☆ 4/5TokamakPlasma ControlMachine Learning
Formal & Physical Sciences PhysicsENYunan Yang - Adjoint Direct Simulation Monte Carlo for Optimization and Control of Rarefied FlowsYunan YangMay 20, 2026 41 min★ ★ ★ ★ ☆ 4/5DSMCBoltzmann EquationAdjoint Method
Applied Sciences & Engineering EnergyENRebekah White - Surrogate-Based Optimization of Magnetized Liner Inertial Fusion Target DesignRebekah WhiteMay 20, 2026 40 min★ ★ ★ ★ ☆ 4/5MagLIFBayesian OptimizationMulti-Fidelity
Applied Sciences & Engineering AI — News & ApplicationsENBrian Spears - The Genesis Mission: AI for US Science and Security Transformation - IPAM at UCLABrian SpearsMay 20, 2026 32 min★ ★ ★ ★ ☆ 4/5Genesis MissionAI for ScienceNational Security
Formal & Physical Sciences PhysicsENMichael Abdelmalik - A Multi-Fidelity Framework for Rarefied Dynamics - IPAM at UCLAMichael AbdelmalikMay 19, 2026 41 min★ ★ ★ ★ ☆ 4/5Rarefied Gas DynamicsBoltzmann EquationMoment Closures
Applied Sciences & Engineering AI — Models & ResearchENJeff Schneider - Machine Learning for Scenario Design and Plasma Control in TokamaksJeff SchneiderMay 19, 2026 47 min★ ★ ★ ★ ☆ 4/5Reinforcement LearningBayesian OptimizationTokamak
Applied Sciences & Engineering PhysicsENPablo Rodriguez-Fernandez - Accelerate core plasma design/optimization w/ surrogate-assist transportPablo Rodriguez-FernandezMay 18, 2026 42 min★ ★ ★ ★ ☆ 4/5FusionPlasma PhysicsSurrogate Modeling
Applied Sciences & Engineering PhysicsENMark Kostuk - Mixed-Fidelity, Multi-Model Optimization within the DIII-D Digital Twin - IPAM at UCLAMark KostukMay 18, 2026 53 min★ ★ ★ ★ ☆ 4/5Digital TwinFusion PlasmaOptimization
Formal & Physical Sciences MathematicsENFlorian Schaefer - Information geometric regularization for sensitivities of flows with shocksFlorian SchaeferMay 18, 2026 45 min★ ★ ★ ★ ☆ 4/5Information GeometryShock CapturingPDE Regularization
Formal & Physical Sciences AI — Models & ResearchENBethany Lusch - Scalable graph-based surrogate models for unstructured meshes - IPAM at UCLABethany LuschMay 18, 2026 48 min★ ★ ★ ★ ☆ 4/5Graph Neural NetworksSurrogate ModelsUnstructured Meshes
Formal & Physical Sciences PhysicsENPablo Rodriguez-Fernandez - Designing tokamak core plasmas from scaling laws to first-principles simPablo Rodriguez-FernandezMay 6, 2026 40 min★ ★ ★ ★ ☆ 4/5TokamakFusionPlasma Physics
Formal & Physical Sciences PhysicsENAlan Kaptanoglu - Recent work on stage-1 and stage-2 stellarator optimization - IPAM at UCLAAlan KaptanogluMay 5, 2026 51 min★ ★ ★ ★ ☆ 4/5StellaratorMHD EquilibriumCoil Optimization
Applied Sciences & Engineering AI — Models & ResearchENTim Slendebroek - From scaling laws to the design space: How we design machines we cannot yet buildTim SlendebroekMay 4, 2026 32 min★ ★ ★ ★ ☆ 4/5FusionTokamakIntegrated Modeling
Applied Sciences & Engineering EnergyENCami Collins - Multi-Fidelity Integrated Modeling for Fusion Device Design with FREDA - IPAM at UCLACami CollinsMay 4, 2026 46 min★ ★ ★ ★ ☆ 4/5FusionIntegrated ModelingMulti-Fidelity
Applied Sciences & Engineering AI — Models & ResearchENShantenu Jha - All (Foundation) Models are wrong. Some (Foundation) Models can be made useful.Shantenu JhaApril 17, 2026 42 min★ ★ ★ ★ ☆ 4/5Foundation ModelsFusionGenesis Mission
Formal & Physical Sciences MathematicsENJingwei Hu - A Neural Score-Based Particle Method for the Vlasov-Maxwell-Landau SystemJingwei HuApril 17, 2026 47 min★ ★ ★ ★ ☆ 4/5Vlasov-Maxwell-LandauParticle MethodNeural Networks
Formal & Physical Sciences AI — Models & ResearchENGuannan Zhang - Generative diffusion models learning stochastic flow maps in particle-based simsGuannan ZhangApril 17, 2026 45 min★ ★ ★ ★ ☆ 4/5Diffusion ModelsFokker-PlanckPlasma Physics
Applied Sciences & Engineering AI — Models & ResearchENBenjamin Sanderse - Structure-preserving SciML for discovering ODEs and SDEs in fluid flowsBenjamin SanderseApril 16, 2026 44 min★ ★ ★ ★ ☆ 4/5Scientific Machine LearningClosure ProblemEntropy Stability
Applied Sciences & Engineering MathematicsENKaren Willcox - The Important Role of Mathematics in the Digital Twin RevolutionKaren WillcoxApril 15, 2026 50 min★ ★ ★ ★ ☆ 4/5Digital TwinMathematicsModeling
Formal & Physical Sciences MathematicsENKaren Willcox - Learning Structure-exploiting Reduced Models with Operator InferenceKaren WillcoxApril 15, 2026 56 min★ ★ ★ ★ ★ 5/5Reduced-Order ModelsOperator InferenceModel Reduction
Formal & Physical Sciences PhysicsENQin Li - Stabilizing plasma instabilities cast as PDE-constrained optimization - IPAM at UCLAQin LiApril 14, 2026 39 min★ ★ ★ ★ ☆ 4/5Plasma PhysicsPDE-Constrained OptimizationKinetic Theory
Formal & Physical Sciences AI — Models & ResearchENNikola Kovachki - Demystifying Data-Driven Probabilistic Medium-Range Weather ForecastingNikola KovachkiApril 14, 2026 49 min★ ★ ★ ★ ☆ 4/5Weather ForecastingProbabilistic ModelingDeep Learning
Formal & Physical Sciences PhysicsENSteve Cowley - Multi-scale Plasma Turbulence — the key to fusion power - IPAM at UCLASteve CowleyApril 13, 2026 54 min★ ★ ★ ★ ☆ 4/5FusionPlasma TurbulenceGyrokinetics
Formal & Physical Sciences MathematicsENIPAM "Quantum Topology, Character Varieties and Low-Dimensional Geometry" Fall 2026 Program OverviewInstitute for Pure & Applied Mathematics (IPAM)April 1, 2026 25 min★ ★ ★ ★ ☆ 4/5Quantum TopologyCharacter VarietiesLow-Dimensional Geometry
Formal & Physical Sciences PhysicsENGenia Vogman - Anomalous transport in pulsed power, continuum kinetic sim, reduced transport modelsGenia VogmanMarch 26, 2026 45 min★ ★ ★ ★ ☆ 4/5Plasma PhysicsKinetic SimulationAnomalous Transport
Formal & Physical Sciences PhysicsENAmmar Hakim - On Constructing Numerical Schemes for a Hierarchy of Fusion Plasma ProblemsAmmar HakimMarch 26, 2026 47 min★ ★ ★ ★ ☆ 4/5Fusion PlasmaNumerical MethodsScientific Machine Learning
Formal & Physical Sciences AI — Models & ResearchENJochen Garcke - Introduction to Machine Learning for Science and Engineering - IPAM at UCLAJochen GarckeMarch 13, 2026 79 min★ ★ ★ ★ ☆ 4/5Machine LearningScientific ComputingSupervised Learning
Formal & Physical Sciences AI — Models & ResearchENAndrew Christlieb - An introduction to Scientific Machine Learning - IPAM at UCLAAndrew ChristliebMarch 13, 2026 59 min★ ★ ★ ★ ☆ 4/5Scientific Machine LearningPhysics-Informed Neural NetworksStructure-Preserving Neural Networks
Applied Sciences & Engineering MathematicsENBoris Kramer - Robust Design Optimization - IPAM at UCLABoris KramerMarch 12, 2026 66 min★ ★ ★ ★ ☆ 4/5Robust Design OptimizationUncertainty QuantificationMulti-Fidelity
Formal & Physical Sciences PhysicsENFrank Jenko - Towards Digital Twins of Fusion Systems - IPAM at UCLAFrank JenkoMarch 11, 2026 74 min★ ★ ★ ★ ☆ 4/5FusionDigital TwinGyrokinetics
Formal & Physical Sciences PhysicsENLise-Marie Imbert-Gerard - An introduction to magnetic confinement in toroidal devicesLise-Marie Imbert-GerardMarch 10, 2026 82 min★ ★ ★ ★ ☆ 4/5FusionMagnetic ConfinementTokamak
Formal & Physical Sciences PhysicsENFrank Jenko - Plasma Models in Fusion Research - IPAM at UCLAFrank JenkoMarch 10, 2026 72 min★ ★ ★ ★ ☆ 4/5Plasma PhysicsFusionMHD
Formal & Physical Sciences AI — News & ApplicationsENTerence Tao and Mark Chen - Fireside Chat with James Donovan - IPAM at UCLAInstitute for Pure & Applied Mathematics (IPAM)March 9, 2026 61 min★ ★ ★ ★ ☆ 4/5AI in MathematicsTerence TaoOpenAI
Formal & Physical Sciences AI — News & ApplicationsENSergei Gukov - The role of AI in mathematical (re)search - IPAM at UCLASergei GukovMarch 9, 2026 36 min★ ★ ★ ★ ☆ 4/5AI for MathReinforcement LearningMathematical Reasoning
Formal & Physical Sciences PhysicsENPhysics Panel - Accelerating Math and Theoretical Physics with AI - IPAM at UCLAInstitute for Pure & Applied Mathematics (IPAM)March 9, 2026 75 min★ ★ ★ ★ ☆ 4/5AITheoretical PhysicsMachine Learning
Formal & Physical Sciences PhysicsENNathaniel Craig - Reasoning AIccelerators for High Energy Physics - IPAM at UCLANathaniel CraigMarch 9, 2026 43 min★ ★ ★ ★ ☆ 4/5Reasoning ModelsHigh-Energy PhysicsAI Accelerators
Formal & Physical Sciences AI — News & ApplicationsENLance Dixon - AI for Theory Data - IPAM at UCLALance DixonMarch 9, 2026 47 min★ ★ ★ ★ ☆ 4/5AIParticle PhysicsScattering Amplitudes
Formal & Physical Sciences AI — News & ApplicationsENKevin Weil - AI for Mathematical and Scientific Discovery - Bhaumik Public Lecture at CNSIKevin WeilMarch 9, 2026 62 min★ ★ ★ ★ ☆ 4/5AIMathematicsScientific Discovery
