[HTML][HTML] Additive manufacturing of FeCrAl alloys for nuclear applications-A focused review

S Palaniappan, SS Joshi, S Sharma… - Nuclear Materials and …, 2024 - Elsevier
FeCrAl alloys exhibit outstanding high-temperature oxidation resistance and impressive
mechanical strength, rendering them as forefront materials with broad applicability across …

On Uncertainty Quantification in Materials Modeling and Discovery: Applications of GE's BHM and IDACE

SK Ravi, A Bhaduri, A Amer, S Ghosh, L Wang… - AIAA SCITECH 2023 …, 2023 - arc.aiaa.org
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 …

Structure-involved Critical Alloy Design Strategy for Enhancing Antioxidation Performance of Porous Fe-Cr-Al Materials

H Zhang, L Wan, X Yan, Y Zhang, F Guo, J Yang… - Corrosion …, 2024 - Elsevier
Abstract Porous Fe-Cr-Al samples with different compositions and pore structures were
prepared by reactive synthesis. Oxidation tests for porous Fe-Cr-Al materials were …

Data-Efficient Dimensionality Reduction and Surrogate Modeling of High-Dimensional Stress Fields

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 …

Probabilistic transfer learning through ensemble probabilistic deep neural network

SK Ravi, P Pandita, S Ghosh, A Bhaduri… - AIAA SCITECH 2023 …, 2023 - arc.aiaa.org
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 …

Interpretable Multi-Source Data Fusion Through Latent Variable Gaussian Process

SK Ravi, Y Comlek, W Chen, A Pathak, V Gupta… - arXiv preprint arXiv …, 2024 - arxiv.org
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 …

Discovering the crack formation criteria for Rene 80 superalloys in Laser Blown Directed Energy Deposition

A Bhaduri, C Shen, S Ju, Y Jiao, S Karnati… - AIAA SCITECH 2023 …, 2023 - arc.aiaa.org
View Video Presentation: https://doi. org/10.2514/6.2023-0527. vid Nickel based super
alloys with high volume fraction of γ' such as Rene 80 possess the desirable properties of …

Towards Sparse and Interpretable Classification for Damage Assessment of Jet Engine Components

P Tsilifis, SK Ravi, F Zhang… - … Expo: Power for …, 2023 - asmedigitalcollection.asme.org
Developing damage models for jet engine components has been an essential research
pursuit for engineers and designers. With the advent of data-driven modeling techniques …