The data-based discovery of effective, coarse-grained (CG) models of high-dimensional
dynamical systems presents a unique challenge in computational physics and particularly in …

New and improved materials have long fostered innovation. The discovery of new materials
leads to new product concepts and manufacturing techniques. Historically, materials …

Over the last three decades, molecular simulation has become ubiquitous in scientific fields
ranging from molecular biology to chemistry and physics. It serves as a tool to rationalize …

Well-established methods for the solution of stochastic partial differential equations (SPDEs)
typically fail in settings where the stochastic input and output dimensions are high. This work …

Uncertainty Quantification in Multiscale Materials Modeling Page 1 Contents Contributors xi
About the Series editors xv Preface xvii 1 Uncertainty quantification in materials modeling 1 Yan …

Over the last three decades, molecular simulation has become ubiquitous in scientific fields
ranging from molecular biology to chemistry and physics. It serves as a tool to rationalize …

The present paper is concerned with two problems in physical modeling for which
dimensionality reduction is of paramount importance: a) coarse-graining (CG) of atomistic …

There are many events in nature, like self-assembly of peptides, which span a wide range of
time and space. While some multiscale phenomena have detrimental effects and play a …

In reinforced and prestressed concrete structures, time dependent phenomena are essential
factors governing both design and serviceability. Examples of these phenomena include …

Leverage. A good idea can move the world if it's grounded right and implemented with
conviction. A prime example, one of many I could point to from our university's 150-year …