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Wabi Demeke

affiliation not provided to SSRN

  • affiliation not provided to SSRN

SCHOLARLY PAPERS

4

DOWNLOADS

343

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)

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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.

Enhancing Elastic Energy Focusing in Multimode Strain Regions Via Bayesian Optimization of Gradient-Index Phononic Crystals for Energy Harvesting

Number of pages: 29 Posted: 04 Mar 2025
Wabi Demeke, Sangryun Lee, Wonju Jeon and Seunghwa Ryu
affiliation not provided to SSRN, Ewha Womans University, affiliation not provided to SSRN and Korea Advanced Institute of Science and Technology (KAIST) - Department of Mechanical Engineering
Downloads 88 (753,595)

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GRIN PnCs, Bayesian Optimization, DNN, Piezoelectric Energy Harvesters, Patterned Electrodes

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