Journals

 International Journals

7. Computer Methods in Applied Mechanics and Engineering (IF: 7.2, JCR top 3.3%)

Year: 2024
Authors: S. Yang, H. Kim, Y. Hong, K. Yee, R. Maulik, and N. Kang
Title: Data-driven Physics-Informed Neural Networks: A Digital Twin Perspective

Keywords: Digital twins, Physics-informed neural networks, Adaptive sampling, Data-driven approach, Multi-fidelity data, Parametric Navier-Stokes equations, Uncertainty quantification
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6. Engineering Applications of Artificial Intelligence (IF: 8.0, JCR top 5.0%)

Year: 2024
Authors: S. Yang, and K. Yee
Title: Towards Reliable Uncertainty Quantification via Deep Ensembles in Multi-output Regression Task

Keywords: predictive uncertainty, deep ensembles, uncertainty calibration, Bayesian optimization

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5. Aerospace Science and Technology (IF: 5.6, JCR top 7.4%)

Year: 2023
Authors: Y. Hong, D. Lee, S. Yang, H. Kook, and K. Yee
Title: Exploration of stacked rotor designs for aerodynamics in hover

Keywords: stacked rotor, computational fluid dynamics, inflow, blade-vortex interaction, design exploration

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4. Engineering with Computers (IF: 8.7, JCR top 2.6%)

Year: 2023

Authors: S. Yang, S. Lee, and K. Yee

Title: Inverse design optimization framework via a two-step deep learning approach:
application to a wind turbine airfoil

Keywords: inverse design, generative modeling, design optimization, surrogate modeling

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3. Physics of Fluids (IF: 4.6, JCR top 4.4%)

Year: 2022
Authors: Y.E. Kang, S. Yang (co-first author), and K. Yee
Title: Physics-aware reduced-order modeling of transonic flow via β-variational autoencoder

Keywords: generative modeling, reduced-order modeling, feature extraction

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2. AIAA Journal (IF: 2.5, JCR top 30.9%)

Year: 2022

Authors: S. Yang, and K. Yee

Title: Comment on “Novel approach for selecting low-fidelity scale factor in multifidelity metamodeling”

Keywords: surrogate modeling, multi-fidelity modeling

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1. Journal of Aircraft (IF: 2.2, JCR top 39.7%)

Year: 2022
Authors: S. Yang, and K. Yee

Title: Design rule extraction using multi-fidelity surrogate model for unmanned combat aerial vehicles

Keywords: CFD, shape & Bayesian optimization, data mining, multi-fidelity surrogate modeling

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