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Hyeonbin Moon

affiliation not provided to SSRN

SCHOLARLY PAPERS

6

DOWNLOADS

447

TOTAL CITATIONS

1

Scholarly Papers (6)

1.

Thermal Conductivity Estimation of Thermoelectric Materials with Uncertainty Quantification Using Bayesian Physics-Informed Neural Networks

Number of pages: 33 Posted: 19 Oct 2025
affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, Korea Electrotechnology Research Institute (KERI) and Korea Advanced Institute of Science and Technology (KAIST) - Department of Mechanical Engineering
Downloads 104 (674,591)

Abstract:

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Thermoelectric, Physics-informed neural network, Deep learning, Bayesian Neural Networks, Thermal Conductivity

Real-Time Structural Health Monitoring with Bayesian Neural Networks: Distinguishing Aleatoric and Epistemic Uncertainty for Digital Twin Frameworks

Number of pages: 40 Posted: 30 Sep 2025
affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, Kyungpook National University, Korea University of Technology and Education and Korea Advanced Institute of Science and Technology (KAIST) - Department of Mechanical Engineering
Downloads 52 (1,060,784)

Abstract:

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Bayesian neural network, Principal component analysis, Hamiltonian Monte Carlo, Structural Health Monitoring, Uncertainty Quantification

Real-Time Structural Health Monitoring with Bayesian Neural Networks: Distinguishing Aleatoric and Epistemic Uncertainty for Digital Twin Frameworks

Number of pages: 40 Posted: 30 Sep 2025
affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, Kyungpook National University, Korea University of Technology and Education and Korea Advanced Institute of Science and Technology (KAIST) - Department of Mechanical Engineering
Downloads 48 (1,107,422)

Abstract:

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Bayesian neural network, Principal component analysis, Hamiltonian Monte Carlo, Structural Health Monitoring, Uncertainty Quantification

3.

Towards the Automation of Plate Forming Process for Shipbuilding: A Dnn-Based Multi-Start Convex Optimization Framework for the Prompt Inverse Design of Line Heating Patterns

Number of pages: 20 Posted: 16 May 2024
affiliation not provided to SSRN, University of California, Berkeley, affiliation not provided to SSRN, affiliation not provided to SSRN and Korea Advanced Institute of Science and Technology (KAIST) - Department of Mechanical Engineering
Downloads 92 (730,864)
Citation 1

Abstract:

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machine learning, Deep neural network, inverse design, optimization, Finite element analysis, Industrial application

4.

Design of Auxetic Metamaterial for Enhanced Low Cycle Fatigue Life and Negative Poisson's Ratio Through Multi-Objective Bayesian Optimization

Number of pages: 60 Posted: 21 Jan 2025
affiliation not provided to SSRN, affiliation not provided to SSRN, Kookmin University, Uppsala University, Kookmin University and Korea Advanced Institute of Science and Technology (KAIST) - Department of Mechanical Engineering
Downloads 77 (823,616)

Abstract:

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Inverse Design, fatigue, Machine learning, Bayesian Optimization, Auxetics

5.

Thermal Conductivity Estimation of Thermoelectric Materials without Temperature Measurements: Inverse Problem Formulation and PINN Approaches Ranging from Deterministic to Bayesian

Number of pages: 42 Posted: 04 Nov 2025
affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, Korea Electrotechnology Research Institute (KERI) and Korea Advanced Institute of Science and Technology (KAIST) - Department of Mechanical Engineering
Downloads 46 (1,109,210)

Abstract:

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Thermoelectric, Physics-informed neural network, Deep learning, Bayesian uncertainty quantification, Thermal conductivity

6.

Physics-Informed Neural Network-Based Discovery of Hyperelastic Constitutive Models from Extremely Scarce Data

Number of pages: 45 Posted: 30 Apr 2025
affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, Jeonbuk National University, affiliation not provided to SSRN and Korea Advanced Institute of Science and Technology (KAIST) - Department of Mechanical Engineering
Downloads 28 (1,345,526)

Abstract:

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Deep Learning, Physics-informed neural network, Constitutive models, Hyperelastic material, Sparse regression, Inverse problems