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This report is intended to provide value to scientists, engineers, software developers, designers, analysts, regulators, students, and other stakeholders associated with (or intending to work with) computational models related to the mechanics of materials and structures (MOMS). This includes both modelers and experimentalists within the materials science and engineering, mechanical engineering, solid mechanics, structural dynamics, and related communities, spanning academic, industrial, and government affiliation sectors. This report was written with two types of people in mind: novices who have little or no prior experience in robust verification and validation (V&V) and associated/inseparable uncertainty quantification (UQ) practices, and those who have some V&V/UQ experience, but want to establish more rigorous practices. More specifically, researchers, developers, and students associated with materials (both structural and soft materials) and solid mechanics modeling, who utilize advanced computation, materials data, and/or experimental validation tools, should find the information in this report especially useful. It is critical that the community widely adopts robust V&V/UQ practices in order to improve trust, reduce risk, and improve the reliability of MOMS computational models. Beyond practitioners in this field, other stakeholders who can influence the future of advanced computational modeling associated with MOMS should find this report useful, as well. This includes individuals who support financial and/ or time investments in science and technologies surrounding computational modeling, such as funding officers and other decision-makers at federal agencies, and leaders/managers in industry. Educators teaching undergraduate and graduate courses related to MOMS, as well as department heads and/or deans within the relevant disciplines, also could use the information in this report to advance associated curricula and enhance research products. 

Predictive computational models associated with the mechanics of materials (MOM) offer great potential for enabling large reductions in the cost and time to develop new products and manufacturing procedures. Unfortunately, this potential is currently limited because very rarely are such models adequately and broadly proven to yield trustworthy, accurate, quantitative results for which the level of uncertainty has been quantified. In this regard, the need for rigorous verification and validation (V&V) of these models cannot be overestimated, yet is extremely lacking within the relevant MOM communities. There is thus a strong need to help these communities accelerate the widespread adoption and implementation of such V&V activities. In this vein, concise definitions of verification and validation have been provided by the American Society of Mechanical Engineers (ASME),1 and can be applied here as well: • Verification: The process of determining that a computational model accurately represents the underlying mathematical model and its solution • Validation: The process of determining the degree to which a model is an accurate representation of the real world from the perspective of the intended uses of the model The overarching goal of this workshop and report is thus to help facilitate the widespread and rigorous adoption of V&V by both computational modelers and experimentalists in MOM-related communities.