Supporting Accelerated Materials Design with Multiscale Modeling

Client: The Minerals, Metals and Materials Society (TMS)

Project Overview

Nexight Group planned, facilitated, and documented two workshops for a roadmapping study aimed at helping modelers and experimentalists in the materials science and engineering community to reduce the time and cost of developing new advanced materials and manufacturing processes.

Need

Computational models simulate the physical phenomena of advanced materials and processes to predict materials performance, which can reduce the cost and time required for product development. Today’s computational tools are typically developed to simulate specific length and time scales (ångströms to meters, and picoseconds to years). Bridging these scales is currently a challenge, significantly limiting the accuracy and robustness of model predictions. The Minerals, Metals and Materials Society (TMS) recognized the need for innovative linkage methodologies and software tools to enable effective modeling across entire time and length scale regimes.

Our Solution

To address the need for more effective hierarchical modeling approaches, we worked closely with TMS to plan and facilitate two workshops that engaged a team of internationally recognized experts in modeling and simulation from various sectors and disciplines. At the first workshop, we facilitated multiscale modeling experts to define and visualize length scales in terms of existing models, implementation approaches, and property predictions. At the second workshop, we helped the materials science and engineering community identify solutions aimed at drastically improving the accuracy of predictions made in multiscale modeling activities.

Impact

TMS used the results of these workshops to complete the roadmapping study Modeling Across Scales: A Roadmapping Study for Connecting Materials Models and Simulations Across Length and Time Scales, which serves as a guide for helping both modelers and experimentalists link digital material simulation models. This study will help the materials community overcome critical challenges in bridging materials models across length and time scales and will significantly advance the state of multiscale computational tools and implementation approaches.