Haisu Kang - Publications

Affiliations: 
University of Illinois, Urbana-Champaign, Urbana-Champaign, IL 
Area:
Polymer physics, molecular dynamics

7 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2024 Chung WG, Jang J, Cui G, Lee S, Jeong H, Kang H, Seo H, Kim S, Kim E, Lee J, Lee SG, Byeon SH, Park JU. Liquid-metal-based three-dimensional microelectrode arrays integrated with implantable ultrathin retinal prosthesis for vision restoration. Nature Nanotechnology. PMID 38225357 DOI: 10.1038/s41565-023-01587-w  0.476
2023 Kweon H, Kim JS, Kim S, Kang H, Kim DJ, Choi H, Roe DG, Choi YJ, Lee SG, Cho JH, Kim DH. Ion trap and release dynamics enables nonintrusive tactile augmentation in monolithic sensory neuron. Science Advances. 9: eadi3827. PMID 37851813 DOI: 10.1126/sciadv.adi3827  0.474
2023 Kwon SH, Kang H, Kim BJ, Lee HI, Lee JM, Kim J, Lee SG. Author Correction: Addressing diffusion behavior and impact in an epoxy-amine cure system using molecular dynamics simulations. Scientific Reports. 13: 1408. PMID 36697431 DOI: 10.1038/s41598-023-28596-y  0.665
2023 Kwon SH, Kang H, Kim BJ, Lee HI, Lee JM, Kim J, Lee SG. Addressing diffusion behavior and impact in an epoxy-amine cure system using molecular dynamics simulations. Scientific Reports. 13: 138. PMID 36599868 DOI: 10.1038/s41598-022-26835-2  0.67
2022 Choi J, Kang H, Lee JH, Kwon SH, Lee SG. Predicting the Properties of High-Performance Epoxy Resin by Machine Learning Using Molecular Dynamics Simulations. Nanomaterials (Basel, Switzerland). 12. PMID 35889577 DOI: 10.3390/nano12142353  0.6
2021 Kwon SH, Kang H, Sohn YJ, Lee J, Shim S, Lee SG. Molecular dynamics simulation study on the effect of perfluorosulfonic acid side chains on oxygen permeation in hydrated ionomers of PEMFCs. Scientific Reports. 11: 8702. PMID 33888751 DOI: 10.1038/s41598-021-87570-8  0.633
2021 Kang H, Lee JH, Choe Y, Lee SG. Prediction of Lap Shear Strength and Impact Peel Strength of Epoxy Adhesive by Machine Learning Approach. Nanomaterials (Basel, Switzerland). 11. PMID 33808097 DOI: 10.3390/nano11040872  0.544
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