MICDE University of Michigan

MICDE Catalyst Grant Info Session 2025

Lav Varshney (UIUC) - Scientific Creativity: Limits, Approaching Limits, and Breaking Limits

Michael Herbst: Algorithmic differentiation (AD) for plane-wave DFT

Prof James Wells on Particle Physics & AI

MICDE Nobel Prize Lectures

Surya Ganguly (Stanford /Andreessen Horowitz): Theories of Creativity and Reasoning in Generative AI

SciFM25 Panel Discussion: Creativity / Novelty / Emergence

Jong Shi Pang: Heaviside Composite Optimization, a new paradigm of optimization

MICDE seminar Josh Dolence: Parthenon: a flexible framework for rapid development of performance ...

Andrew Appel (Princeton): Formally Verified Numerical Methods

Jan Janssen: How to use machine learning in the discovery and design of materials for the future?

Valeria Bertacco: Hardware accelerators for next-generation AI models

Brendan Kochunas: Performance Aware Program Synthesis for Scientific Computing

Panel: Algorithms, AI, and advanced computer architectures for efficient scientific applications

Venkat Raman: Towards “Persistent Computing”: Next Generation of Computational Science

Karthik Duraisamy: SciFM24 Summer School Opening Remarks

Venkat Viswanathan: SciFM24 Summer School Goals

Ian Foster: Foundation Models for Science

Jan Janssen: Foundation Models for Materials Discovery

Bharath Ramasundar: Chemical Foundation Models for Drug Discovery

Aditya Grover: Foundation Models for a Sustainable Planet

Erica Briscoe: Scientific Feasibility (ScFy)

Philippe Schwaller: Learning the Language of Chemistry

Lav Varshney: Modeling and Measuring Scientific Creativity

Boyuan Chen: Robot Scientist

Jia Deng: Foundation Models for Materials Synthesis

Wei Wang: Graph Neural Networks for Learning System Dynamics

Rose Yu: GENIE: Generative Foundation Models for Automated Climate Science

Paris Perdikaris: Aurora: A Foundation Model of the Atmosphere (Tutorial 1)

Maximilian Herde: Poseidon: Efficient Foundation Models for PDEs (Tutorial 1)