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With the increasing interplay between experimental and computationalapproaches at multiple length scales, new research directions are emerging inmaterials science and computational mechanics. Such cooperative interactionsfind many applications in the development, characterization and design ofcomplex material systems. This manuscript provides a broad and comprehensiveoverview of recent trends where predictive modeling capabilities are developedin conjunction with experiments and advanced characterization to gain a greaterinsight into structure-properties relationships and study various physicalphenomena and mechanisms. The focus of this review is on the intersections ofmultiscale materials experiments and modeling relevant to the materialsmechanics community. After a general discussion on the perspective from variouscommunities, the article focuses on the latest experimental and theoreticalopportunities. Emphasis is given to the role of experiments in multiscalemodels, including insights into how computations can be used as discovery toolsfor materials engineering, rather than to "simply" support experimental work.This is illustrated by examples from several application areas on structuralmaterials. This manuscript ends with a discussion on some problems and openscientific questions that are being explored in order to advance thisrelatively new field of research.

Review of the Synergies Between Computational Modeling and Experimental Characterization of Materials Across Length Scales