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Materials (Basel, Switzerland)|January 21, 2023
Predicting Compressive Strength and Hydration Products of Calcium Aluminate Cement Using Data-Driven ApproachSai Akshay Ponduru, Taihao Han, Jie Huang, et al.Acta Biomaterialia|March 2, 2020
Machine learning as a tool to design glasses with controlled dissolution for healthcare applicationsTaihao Han, Nicholas Stone-Weiss, Jie Huang, et al.ACS Applied Materials & Interfaces|September 13, 2021
Machine Learning Enabled Models to Predict Sulfur Solubility in Nuclear Waste GlassesXinyi Xu, Taihao Han, Jie Huang, et al.Scientific Reports|February 17, 2021
Machine learning enables prompt prediction of hydration kinetics of multicomponent cementitious systemsJonathan Lapeyre, Taihao Han, Brooke Wiles, et al.Journal of Neuroscience Methods|January 13, 2021
Fiber optic sensor embedded smart helmet for real-time impact sensing and analysis through machine learningYiyang Zhuang, Qingbo Yang, Taihao Han, et al.Biosensors|December 23, 2022
A Fiber-Optic Sensor-Embedded and Machine Learning Assisted Smart Helmet for Multi-Variable Blunt Force Impact Sensing in Real TimeYiyang Zhuang, Taihao Han, Qingbo Yang, et al.Scientific Reports|March 19, 2025
Data driven design of ultra high performance concrete prospects and applicationBryan K Aylas-Paredes, Taihao Han, Advaith Neithalath, et al.Pageof 1