Generative machine learning algorithm for lattice structures with superior mechanical properties
2022 · Materials Horizons · 129 citations
https://doi.org/10.1039/d1mh01792f
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Sangryun Lee
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61
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16
h-index
25
i10-index
Sangryun Lee is an academic researcher from Ewha Womans University. The author has contributed to research in topics: Composite Material Mechanics & Advanced Sensor and Energy Harvesting Materials & Numerical methods in engineering. The author has an h-index of 16, co-authored 52 publications.
ORCID: 0000-0002-6237-2016Papers by this author
worksAmbient Humidity‐Induced Phase Separation for Fiber Morphology Engineering toward Piezoelectric Self‐Powered Sensing
2022 · Small · 56 citations
https://doi.org/10.1002/smll.202105811
Ubiquitous Graphene Electronics on Scotch Tape
2015 · Scientific Reports · 13 citations
https://doi.org/10.1038/srep12575
Tunable anisotropy in lattice structures via deep learning-based optimization
2025 · International Journal of Mechanical Sciences · 13 citations
https://doi.org/10.1016/j.ijmecsci.2025.110121
Super-fast and accurate nonlinear foot deformation Prediction using graph neural networks
2024 · Journal of the mechanical behavior of biomedical materials/Journal of mechanical behavior of biomedical materials · 1 citations
https://doi.org/10.1016/j.jmbbm.2024.106859
Stretchable Dry Adhesives for Robust Epidermal Biosignal Sensing (Adv. Healthcare Mater. 24/2025)
2025 · Advanced Healthcare Materials · 0 citations
https://doi.org/10.1002/adhm.70211
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