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, […]
This report provides a summary by participants of the long program on Computational Issues in Oil Field Applications at the Institute for Pure and Applied Mathematics (IPAM) at the University of California Los Angeles (UCLA), March 20 – June 9, 2017. It provides brief overviews […]
Prepared by Andrew Feinberg (John Hopkins University) and Roy Wollman (UCLA), summarizing comments from participants of the IPAM workshop Regulatory and Epigenetic Stochasticity in Development and Disease. A workshop related to the analysis of stochasticity in epigenetics was held at IPAM on March 1-3, 2017. […]
This white paper was prepared by the participants of the fall 2016 long program Understanding Many-Particle Systems with Machine Learning. Interactions between many constituent particles, i.e. quarks, electrons, atoms, molecules, or materials, generally give rise to collective or emergent phenomena in matter. Even when the […]
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