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Institute for Pure & Applied Mathematics (IPAM) · Science

Institute for Pure & Applied Mathematics (IPAM)

The Institute for Pure and Applied Mathematics (IPAM) is a National Science Foundation Math Institute at the University of California, Los Angeles (UCLA) that fosters the interaction of mathematics with a broad range of science and technology, builds new interdisciplinary research communities, promotes mathematical innovation, and engages and transforms the world through mathematics. IPAM fulfills its mission through workshops and programs that connect mathematics and other disciplines or multiple areas of mathematics. These activities bring in thousands of visitors annually from academia, government, and industry. The NSF has encouraged IPAM to make the scientific presentations of our speakers available to a wider audience. While this YouTube channel contains many of our most popular videos, our full video archive is available at www.ipam.ucla.edu/videos.

Episodes

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Davide Donadio - Molecular Dynamics of Solutions out of Equilibrium - IPAM at UCLA

28 Oct 2025
41m
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Mark Tuckerman - Beating viscosity-conductivity inverse relation to create electrolyte for battery

28 Oct 2025
46m
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Stefan Wippermann - Capturing Electrode Potential Dynamics in Ab initio Electrochemical Simulations

28 Oct 2025
44m
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Clotilde Cucinotta - Advancing Ab Initio Molecular Dynamics for Electrified Interfaces

28 Oct 2025
54m
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Jun Cheng - AI acceleration of AIMD simulation of electrochemical interfaces - IPAM at UCLA

27 Oct 2025
43m
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Michael Eikerling - Local Reaction in Electrocatalytic Media: Interface Theory, Realism, Complexity

27 Oct 2025
55m
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Jörg Neugebauer - Boundary conditions for atomistic simulations: Insights, solutions and challenges

27 Oct 2025
57m
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Giulia Galli - Interfaces between water and semiconductors from first principles - IPAM at UCLA

27 Oct 2025
47m
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Chong Liu - An experimentalist's (primitive) view of stochasticity in electrochemistry

10 Oct 2025
44m
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Roman Grigoriev - Bridging scales using physically-informed machine learning - IPAM at UCLA

10 Oct 2025
41m
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Daniel Schwalbe-Koda - Scales in Material Modeling w/ Atomistic Sim, Info Theory, & Generative Model

09 Oct 2025
46m
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Yunan Yang - Transport- & Measure-Theoretic Approaches Modeling, Identifying, & Forecasting Systems

09 Oct 2025
45m
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Rachel Kurchin - Modeling Electrochemical Reaction Rates at Fluid-Solid Interfaces - IPAM at UCLA

09 Oct 2025
41m
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Michael Herbst - Algorithmic differentiation (AD) for plane-wave DFT - IPAM at UCLA

09 Oct 2025
46m
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Martin Bazant - Unified quantum theory of electrochemical kinetics by coupled ion-electron transfer

09 Oct 2025
53m
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Huan Lei - Energy-stable machine-learning model of non-Newtonian hydrodynamics w/ molecular fidelity

09 Oct 2025
43m
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Juergen Fuhrmann - Continuum scale electrolyte simulations based on finite volume methods

08 Oct 2025
55m
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Jun Huang - Hybrid density-potential functional approach to bridge atomistic scale and continuum

08 Oct 2025
46m
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Manuel Landstorfer - Continuum Thermodynamic Models for Electrochemical Interfaces - IPAM at UCLA

08 Oct 2025
40m
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David Bortz - Weak form SciML for Learning Models on Different Scales - IPAM at UCLA

08 Oct 2025
44m
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