Subhayan De

EmailSUBHAYAN.DEnauedu

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Dive into the research topics where Subhayan De is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

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20 Article
2 Conference contribution
1 Conference article

α-VI DeepONet: A prior-robust variational Bayesian approach for enhancing DeepONets with uncertainty quantification
Lone, S. N., De, S. & Nayek, R., Feb 1 2026, In: Computer Methods in Applied Mechanics and Engineering. 449, 118552.
Research output: Contribution to journal › Article › peer-review

Open Access
Likelihood level adapted estimation of marginal likelihood for Bayesian model selection
De, S., Farzad, R., Brewick, P. T., Johnson, E. A. & Wojtkiewicz, S. F., Oct 1 2025, In: Computer Methods in Applied Mechanics and Engineering. 445, 118141.
Research output: Contribution to journal › Article › peer-review

Open Access
2 Link opens in a new tab Scopus citations
A bi-fidelity DeepONet approach for modeling hysteretic systems under uncertainty
De, S. & Brewick, P. T., Nov 2024, In: Applied Mathematical Modelling. 135, p. 708-728 21 p.
Research output: Contribution to journal › Article › peer-review
1 Link opens in a new tab Scopus citations
Bi-fidelity variational auto-encoder for uncertainty quantification
Cheng, N., Malik, O. A., De, S., Becker, S. & Doostan, A., Mar 1 2024, In: Computer Methods in Applied Mechanics and Engineering. 421, 116793.
Research output: Contribution to journal › Article › peer-review

Open Access
10 Link opens in a new tab Scopus citations
PINN surrogate of Li-ion battery models for parameter inference, Part I: Implementation and multi-fidelity hierarchies for the single-particle model
Hassanaly, M., Weddle, P. J., King, R. N., De, S., Doostan, A., Randall, C. R., Dufek, E. J., Colclasure, A. M. & Smith, K., Sep 20 2024, In: Journal of Energy Storage. 98, 113103.
Research output: Contribution to journal › Article › peer-review

Open Access
23 Link opens in a new tab Scopus citations

Subhayan De

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Collaborations and top research areas from the last five years

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α-VI DeepONet: A prior-robust variational Bayesian approach for enhancing DeepONets with uncertainty quantification

Likelihood level adapted estimation of marginal likelihood for Bayesian model selection

A bi-fidelity DeepONet approach for modeling hysteretic systems under uncertainty

Bi-fidelity variational auto-encoder for uncertainty quantification

PINN surrogate of Li-ion battery models for parameter inference, Part I: Implementation and multi-fidelity hierarchies for the single-particle model

Subhayan De

Fingerprint

Collaborations and top research areas from the last five years

Research output

α-VI DeepONet: A prior-robust variational Bayesian approach for enhancing DeepONets with uncertainty quantification

Likelihood level adapted estimation of marginal likelihood for Bayesian model selection

A bi-fidelity DeepONet approach for modeling hysteretic systems under uncertainty

Bi-fidelity variational auto-encoder for uncertainty quantification

PINN surrogate of Li-ion battery models for parameter inference, Part I: Implementation and multi-fidelity hierarchies for the single-particle model