Adaptive Mesh Refinement for Multiphysics Applications
Society for Industrial and Applied Mathematics via YouTube
The Most Addictive Python and SQL Courses
AI Adoption - Drive Business Value and Organizational Impact
Overview
Coursera Flash Sale
40% Off Coursera Plus for 3 Months!
Grab it
Explore how adaptive mesh refinement (AMR) is revolutionizing multiphysics simulations in this 41-minute conference talk by Ann Almgren from Lawrence Berkeley National Laboratory. Discover the evolution of block-structured AMR from its early development to modern applications across diverse scientific domains including climate modeling, astrophysics, and combustion research. Learn the fundamentals of block-structured AMR and understand how it enhances simulation accuracy while maintaining scalable performance through its unique combination of local structure and global irregularity. Examine how AMR has adapted to support increasingly sophisticated multiphysics use cases and explore the growing impact of open-source software in democratizing access to AMR technologies. Gain insights into why AMR's role has become more vital than ever in today's complex, high-resolution modeling environments and understand its expanding influence in computational science and high-performance computing applications.
Syllabus
Supercomputing Spotlights: Adaptive Mesh Refinement for Multiphysics Applications
Taught by
Society for Industrial and Applied Mathematics