This white paper is an outcome of IPAM’s spring 2019 long program, Geometry and Learning from Data in 3D and Beyond. As technology advances, there is an ever-increasing demand to acquire, analyze, and generate 3D data. These necessarily large data sets must be amenable to efficient […]
This white paper is an outcome of IPAM’s fall 2018 long program, Science at Extreme Scales: Where Big Data Meets Large-Scale Computing. Computing has revolutionized science: simulation, or model-based computing, has allowed us to investigate phenomena much more complex than theoretical analysis alone can access, […]
The following white paper was written by the organizers of the IPAM long program on Quantitative Linear Algebra, held in the spring of 2018, with contributions from many of the program’s participants. The purpose of the program was to bring together topics from a number […]
This white paper was prepared by the participants of the fall 2017 long program Complex High-Dimensional Energy Landscapes. Recent advances in computational resources and the development of high-throughput frameworks enable the efficient sampling of complicated multivariate functions. This includes energy and electronic property landscapes of inorganic, […]