View Video Presentation: https://doi. org/10.2514/6.2023-0528. vid The coupling of artificial intelligence and materials characterizations has been a center piece of almost all materials …
A Ghosh - Computational Materials Science, 2024 - Elsevier
From emergent material descriptions to estimation of properties stemming from structures to optimization of process parameters for achieving best performance–all key facets of …
Z Yang, J Kim, Y Lu, A Jones… - Journal of …, 2024 - asmedigitalcollection.asme.org
Metal powder bed fusion additive manufacturing (AM) processes have gained widespread adoption for the ability to produce complex geometries with high performance. However, a …
A Samaddar, SK Ravi… - Journal of …, 2024 - asmedigitalcollection.asme.org
Tensor datatypes representing field variables like stress, displacement, velocity, etc have increasingly become a common occurrence in data-driven modeling and analysis of …
View Video Presentation: https://doi. org/10.2514/6.2023-1479. vid Design optimization has been a long standing endeavor of engineers and designers. With the advent of machine …
Establishing fast and accurate structure-to-property relationships is an important component in the design and discovery of advanced materials. Physics-based simulation models like …
L Luan, R Jacobs, S Ghosh… - … Expo: Power for …, 2023 - asmedigitalcollection.asme.org
Discovering physics from data have the potential to advance our understanding and prediction of a system where the governing physics are unknown but experimental data are …
With the advent of artificial intelligence (AI) and machine learning (ML), various domains of science and engineering communites has leveraged data-driven surrogates to model …