[HTML][HTML] Characterization of porous membranes using artificial neural networks

Y Zhao, P Altschuh, J Santoki, L Griem, G Tosato… - Acta Materialia, 2023 - Elsevier
Porous membranes have been utilized intensively in a wide range of fields due to their
special characteristics and a rigorous characterization of their microstructures is crucial for …

Materials design using an active subspace-based batch bayesian optimization approach

D Khatamsaz, R Arroyave, DL Allaire - AIAA SCITECH 2022 Forum, 2022 - arc.aiaa.org
View Video Presentation: https://doi. org/10.2514/6.2022-0075. vid Integrated computational
materials engineering (ICME) calls for integrating simulation tools and/or experiments to …

MIOpt: optimization framework for backward problems on the basis of the concept of materials integration

S Minamoto, K Daimaru, M Demura - Science and Technology of …, 2023 - Taylor & Francis
In materials design, it is very difficult to accurately design forward problems owing to the
variety of scales and phenomena to be considered and the increasing number of input and …

A Framework for Developing Systematic Testbeds for Multi-Fidelity Optimization Techniques

S Tao, C Sharma… - Journal of …, 2024 - asmedigitalcollection.asme.org
Multi-fidelity (MF) models abound in simulation-based engineering fields. Many MF
strategies have been proposed to improve the efficiency in engineering processes …

Multi-faceted Uncertainty Quantification for Structure-Property Relationship with Crystal Plasticity Finite Element

A Tran, P Robbe, H Lim - TMS Annual Meeting & Exhibition, 2023 - Springer
The structure-property linkage is one of the two most important relationships in materials
science besides the process-structure linkage, especially for metals and polycrystalline …

Semi-Autonomous Problem Formulation Space Search for High Dimensional Multiobjective Optimization

J Wagner, D Khatamsaz, DL Allaire - AIAA AVIATION 2023 Forum, 2023 - arc.aiaa.org
View Video Presentation: https://doi. org/10.2514/6.2023-4260. vid In many design settings,
the number of quantities of interest under consideration is more than the usual two or three …