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Byungki Ryu

Korea Electrotechnology Research Institute (KERI)

Changwon-si, Gyeongsangnam-do

  • Korea Electrotechnology Research Institute (KERI)

SCHOLARLY PAPERS

4

DOWNLOADS

351

TOTAL CITATIONS

0

Scholarly Papers (4)

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1.

Design of Aluminum Plate Phononic Crystals with Wide Bandgaps Using Deep Neural Network-Based Free-Form Optimization

Number of pages: 35 Posted: 23 Jan 2023
Wabi Demeke, Jiyoung Jung, Byungki Ryu and Seunghwa Ryu
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 105 (664,543)

Abstract:

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Active learning, phononic crystals, genetic algorithm, Bézier curve, Deep neural network, Bandgap

2.

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

Number of pages: 33 Posted: 19 Oct 2025
Hyeonbin Moon, Hanbin Cho, Wabi Demeke, Byungki Ryu and Seunghwa Ryu
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)

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

3.

Towards Energy Filtering in Mg2x-Based Composites: Investigating Local Carrier Concentration and Band Alignment Via Sem/Edx and Transient Seebeck Microprobe Analysis

Number of pages: 33 Posted: 05 Aug 2023
Sanyukta Ghosh, Harshita Naithani, Byungki Ryu, Gregor Oppitz, Eckhard Müller and Johannes de Boor
German Aerospace Center (DLR), German Aerospace Center (DLR), Korea Electrotechnology Research Institute (KERI), German Aerospace Center (DLR), German Aerospace Center (DLR) and German Aerospace Center (DLR)
Downloads 96 (709,832)

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Mg2Si1-xSnx, Composite, Energy filtering, Band offset, Transient Seebeck microprobe

4.

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
Hyeonbin Moon, Hanbin Cho, Wabi Demeke, Byungki Ryu and Seunghwa Ryu
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