This paper unleashes the power of Artificial Intelligence (AI) and Data Science (DS) in the field of Materials and Integrated Computational Materials Engineering (ICME). It develops leading edge applications, such as how to accelerate the generation of material data, enrich material databases, optimize manufacturing & design, among many other innovations that are now made possible with DS/AI.
The convergence of mechatronic and system-based engineering with advances in data management, artificial intelligence (AI), machine-learning (ML) and increasingly connected manufacturing is challenging traditional industrial product development and manufacturing processes.
This white paper discusses how synthetic datasets for training AI can be generated in hours using the OnScale cloud simulation platform. The demonstrated approach of using synthetic datasets to train AI networks can drastically reduce cost, risk, and time for the development of new hardware technologies.
Engineering.com's Roopinder Tara asks: Can artificial intelligence help us with simulation?