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Works (4)

Material Microstructure Design Using VAE-Regression with a Multimodal Prior

2024 | Book chapter
DOI: 10.1007/978-981-97-2266-2_3
Contributors: Avadhut Sardeshmukh; Sreedhar Reddy; B. P. Gautham; Pushpak Bhattacharyya
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TextureVAE: Learning Interpretable Representations of Material Microstructures Using Variational Autoencoders

Proceedings of the AAAI 2021 Spring Symposium on Combining Artificial Intelligence and Machine Learning with Physical Sciences, Stanford, CA, USA, March 22nd - to - 24th, 2021
2021 | Conference paper
URI:

https://ceur-ws.org/Vol-2964/article\_59.pdf
Contributors: Avadhut Sardeshmukh and Sreedhar Reddy and Gautham B. P. and Pushpak Bhattacharyya; Jonghyun Lee and Eric F. Darve and Peter K. Kitanidis and Michael W. Mahoney and Anuj Karpatne and Matthew W. Farthing and Tyler J. Hesser
Source: Self-asserted source
Avadhut Sardeshmukh

Microstructure representation learning using Siamese networks

MRS Communications
2020-12-18 | Journal article
DOI: 10.1557/mrc.2020.55
Contributors: Avadhut Sardeshmukh; Sreedhar Reddy; B. P. Gautham; Pushpak Bhattacharyya
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Bayesian Framework for Inverse Inference in Manufacturing Process Chains

Integrating Materials and Manufacturing Innovation
2019-06-28 | Journal article
DOI: 10.1007/s40192-019-00140-9
Contributors: Avadhut Sardeshmukh; Sreedhar Reddy; B. P. Gautham
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