Wonseok Jeong

National Institute of Standards and Technology — United States

Materials Science · Physical Sciences

16h-index748citations59works2.12yr avg
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Research Topics

Machine Learning in Materials Science(22), X-ray Diffraction in Crystallography(15), Semiconductor materials and interfaces(7), Advanced Semiconductor Detectors and Materials(6), Microstructure and mechanical properties(3)

Publications59 total

Unveiling X-ray absorption signatures of boron nitride via first-principles simulation and machine learning
Next Materials·2025Open Access
Strain perturbation method for atomic stress calculation with machine-learning potentials
Physical Review Research·2025Open Access
Benchmarking Density Functional Theory Methods for Efficient Calculations of a Strongly Correlated Li<sub>1–<i>x</i></sub>Ni<sub>1–<i>y</i></sub>O<sub>2−δ</sub> System
ACS Applied Energy Materials·2025
Cost-Effective Fault Diagnosis for Motor and Inverter Using Bootstrap Charging and Single DC Link Current Sensor
2025
Improving Sensor Adaptability and Functionality in Cartographer Simultaneous Localization and Mapping
Sensors·2025· 1 citedOpen Access
Spectroscopy-guided discovery of three-dimensional structures of disordered materials with diffusion models
Machine Learning Science and Technology·2024· 11 citedOpen Access
Efficacy of a Multi-lamellar Emulsion Containing a Synthetic Sphingosine Kinase 1 Activator and Pseudoceramide in Patients with Atopic Dermatitis: A Randomized Controlled Trial
Dermatology and Therapy·2024Open Access
Integrating Machine Learning Potential and X-ray Absorption Spectroscopy for Predicting the Chemical Speciation of Disordered Carbon Nitrides
Chemistry of Materials·2024· 5 citedOpen Access
Spectroscopy-Guided Discovery of Three-Dimensional Structures of Disordered Materials with Diffusion Models
Research Square (Research Square)·2023Open Access
Spectroscopy-Guided Discovery of Three-Dimensional Structures of Disordered Materials with Diffusion Models
arXiv (Cornell University)·2023· 1 citedOpen Access
Electrochemical Degradation of Pt<sub>3</sub>Co Nanoparticles Investigated by Off-Lattice Kinetic Monte Carlo Simulations with Machine-Learned Potentials
ACS Catalysis·2023· 16 citedOpen Access
Harnessing Neural Networks for Elucidating X-ray Absorption Structure–Spectrum Relationships in Amorphous Carbon
The Journal of Physical Chemistry C·2023· 17 citedOpen Access
Stability and Equilibrium Structures of Unknown Ternary Metal Oxides Explored by Machine-Learned Potentials
Journal of the American Chemical Society·2023· 24 cited
E-beam-enhanced solid-state mechanical amorphization of α-quartz: Reduced deformation barrier via localized excess electrons as network modifiers
Materials Today·2023· 7 citedOpen Access
E-beam-enhanced solid-state mechanical amorphization of alpha-quartz: Reducing deformation barrier via localized excess electrons as mobile anions
arXiv (Cornell University)·2022Open Access
Adapting Masking Network for Bloom Identification Number Recognition to Different Domains
2022 22nd International Conference on Control, Automation and Systems (ICCAS)·2022· 1 cited
Athermal glass work at the nanoscale: Engineered electron-beam-induced viscoplasticity for mechanical shaping of brittle amorphous silica
Acta Materialia·2022· 18 citedOpen Access
Accelerated computation of lattice thermal conductivity using neural network interatomic potentials
Computational Materials Science·2022· 15 citedOpen Access
Accelerated identification of equilibrium structures of multicomponent inorganic crystals using machine learning potentials
npj Computational Materials·2022· 34 citedOpen Access
Marine flue gas desulfurization processes: recent developments, challenges, and perspectives
Computer-aided chemical engineering/Computer aided chemical engineering·2022
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Frequent Co-authors

Seungwu Han(22), Dongsun Yoo(12), Chang‐Ho Hong(10), Youngchae Yoon(8), Dong-Heon Lee(7), Yong Youn(7), Sangtae Kim(6), Miso Lee(6), Hyungmin An(6), Youngho Kang(6), Sungwoo Kang(5), Tuan Anh Pham(5), Kyuhyun Lee(4), Kyeongpung Lee(4), Jisu Jung(4), Kwang‐Mahn Kim(4), Hyuna Kwon(4), Tim Hsu(4), Fikret Aydin(4), Matthew R. Carbone(4)