Material Design: Multi-scale and Multi-field Simulations of Materials
Monday, 26 March 2018
2:00pm - 3:30pm
Campus Stuttgart-Vaihingen, Pfaffenwaldring 47
Data-driven Design of Multi-scale Materials and Structures
Miguel Bessa, Delft University of Technology
Data-driven research has the potential for groundbreaking achievements in the design of materials and large-scale engineering structures. However, these approaches to design are limited by the substantial computational expense of building large databases, especially when modeling irreversible processes such as plasticity and damage. A new computational framework integrating the recently developed self-consistent clustering analysis method is shown to address this longstanding challenge, opening avenues to the discovery of innovative materials with new capabilities in an era of high-throughput computing (“big-data”).
Tobias Willerding (PP1.002); Jim Magiera (PP1.003); Lukas Ostrowski (PP1.007); Daniel Vallicotti (PP1.008); Sami Bidier (PP1.009); Philipp Rehner (PP1.010); Matthias Rambausek (PP1.011); David Kreplin (PP1.012); Marco Salvalaglio (PP1.013); Dennis Rapp (PP1.015); Anand Krishnamoorthy (PP1.016).