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Page 1
A Fiber-Optic Sensor-Embedded and Machine Learning Assisted Smart Helmet for Multi-Variable Blunt Force Impact Sensing in Real Time.
Biosensors (Basel). 2022 Dec 13;12(12):1159. doi: 10.3390/bios12121159.
Biosensors (Basel). 2022.
PMID: 36551126
Free PMC article.
Fiber optic sensor embedded smart helmet for real-time impact sensing and analysis through machine learning.
Zhuang Y, Yang Q, Han T, O'Malley R, Kumar A, Gerald RE 2nd, Huang J.
Zhuang Y, et al. Among authors: han t.
J Neurosci Methods. 2021 Mar 1;351:109073. doi: 10.1016/j.jneumeth.2021.109073. Epub 2021 Jan 10.
J Neurosci Methods. 2021.
PMID: 33440230
Free article.
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Predicting Compressive Strength and Hydration Products of Calcium Aluminate Cement Using Data-Driven Approach.
Ponduru SA, Han T, Huang J, Kumar A.
Ponduru SA, et al. Among authors: han t.
Materials (Basel). 2023 Jan 9;16(2):654. doi: 10.3390/ma16020654.
Materials (Basel). 2023.
PMID: 36676391
Free PMC article.
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Machine learning as a tool to design glasses with controlled dissolution for healthcare applications.
Han T, Stone-Weiss N, Huang J, Goel A, Kumar A.
Han T, et al.
Acta Biomater. 2020 Apr 15;107:286-298. doi: 10.1016/j.actbio.2020.02.037. Epub 2020 Feb 28.
Acta Biomater. 2020.
PMID: 32114183
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Machine learning enables prompt prediction of hydration kinetics of multicomponent cementitious systems.
Lapeyre J, Han T, Wiles B, Ma H, Huang J, Sant G, Kumar A.
Lapeyre J, et al. Among authors: han t.
Sci Rep. 2021 Feb 16;11(1):3922. doi: 10.1038/s41598-021-83582-6.
Sci Rep. 2021.
PMID: 33594212
Free PMC article.
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Machine Learning Enabled Models to Predict Sulfur Solubility in Nuclear Waste Glasses.
Xu X, Han T, Huang J, Kruger AA, Kumar A, Goel A.
Xu X, et al. Among authors: han t.
ACS Appl Mater Interfaces. 2021 Nov 17;13(45):53375-53387. doi: 10.1021/acsami.1c10359. Epub 2021 Sep 13.
ACS Appl Mater Interfaces. 2021.
PMID: 34516090
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