Jaesun Kim

Engineering · Physical Sciences

11h-index513citations40works20.32yr avg
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Research Topics

Photonic Crystal and Fiber Optics(13), Advanced Fiber Optic Sensors(9), Advanced Fiber Laser Technologies(9), GaN-based semiconductor devices and materials(6), Machine Learning in Materials Science(5)

Publications40 total

Domain-bridging datasets and DFT results for "Optimizing Cross-Domain Transfer for Universal Machine Learning Interatomic Potentials"
Figshare·2026Open Access
A Detailed Investigation Into Birefringence Characteristics of a 20/400-µm Polarization Maintaining Large Mode Area Double Clad Fiber Depending on Material and Geometric Properties
Journal of Lightwave Technology·2025
Optimizing Cross-Domain Transfer for Universal Machine Learning Interatomic Potentials
ArXiv.org·2025· 1 citedOpen Access
Unveiling Defect Motifs in Amorphous GeSe Using Machine Learning Interatomic Potentials
ACS Applied Materials & Interfaces·2025· 1 cited
Temperature Dependent Behavior of Defect Related Single Photon Emitters in GaN and their Interaction with Phonons
physica status solidi (b)·2025Open Access
Simultaneous Submicron Temperature Mapping of Substrate and Channel in P-GaN/AlGaN/GaN HEMTs Using Raman Thermometry
Applied Sciences·2025· 1 citedOpen Access
Effect of the Buffer Layers on the Strain Distribution in GaN‐Based Power Transistors using Surface‐Enhanced Raman Spectroscopy
physica status solidi (b)·2025· 1 cited
Data-Efficient Multifidelity Training for High-Fidelity Machine Learning Interatomic Potentials
Journal of the American Chemical Society·2024· 45 cited
Roadmap for the development of machine learning-based interatomic potentials
Modelling and Simulation in Materials Science and Engineering·2024· 35 citedOpen Access
Data-efficient multi-fidelity training for high-fidelity machine\n learning interatomic potentials
arXiv (Cornell University)·2024· 1 citedOpen Access
Scalable Parallel Algorithm for Graph Neural Network Interatomic Potentials in Molecular Dynamics Simulations
Journal of Chemical Theory and Computation·2024· 149 citedOpen Access
Predicting melting temperature of inorganic crystals via crystal graph neural network enhanced by transfer learning
Computational Materials Science·2024· 9 cited
Applications and training sets of machine learning potentials
Science and Technology of Advanced Materials Methods·2023· 12 citedOpen Access
Spectroscopic and lasing characteristics of an Yb-doped silica rod fabricated by the vapor-phase axial deposition technology
Journal of Non-Crystalline Solids·2022
Anomalous Photocurrent Reversal Due to Hole Traps in AlGaN-Based Deep-Ultraviolet Light-Emitting Diodes
Micromachines·2022· 2 citedOpen Access
Development of a Customized Endoscopic Dual-Diffusing Optical Fiber Probe for Pancreatic Cancer Therapy: Toward Clinical Use
Photobiomodulation Photomedicine and Laser Surgery·2022· 1 cited
Depth‐dependent strain distribution in AlGaN‐based deep ultraviolet light‐emitting diodes using surface‐plasmon‐enhanced Raman spectroscopy
Journal of Raman Spectroscopy·2021· 4 cited
Correlation between photoluminescence and electroluminescence in GaN-related micro light emitting diodes: Effects of leakage current, applied bias, incident light absorption and carrier escape
Optical Materials·2021· 14 cited
Novel fabrication technology for active gain fibers
2021· 2 cited
Gain-flattening of identical weak FBG array laser sensor using intensity-modulated resonance frequency mapping
2021
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Frequent Co-authors

Seungwu Han(8), J. K. Sahu(5), Jung‐Hoon Song(5), Gaye Park(5), Chi-Hwan Ouh(5), Yutack Park(4), Chang‐Seok Kim(4), Seungwoo Hwang(3), Seongwoo Yoo(3), Deepak Jain(3), Jaehoon Kim(3), Jaesang Kang(3), Youngboo Moon(3), Chanho Hwang(3), Hyun-Joo Kim(3), Changhyun Jung(3), Seungyoung Lim(3), Dae Seung Moon(3), Chang Hyun Jung(3), Gahyun Choi(3)