1. An ensemble machine learning approach for prediction and optimization of modulus of elasticity of recycled aggregate concrete. (30th May 2020) Authors: Han, Taihao; Siddique, Ashfia; Khayat, Kamal; Huang, Jie; Kumar, Aditya Journal: Construction & building materials Issue: Volume 244(2020) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
2. Deep learning to predict the hydration and performance of fly ash-containing cementitious binders. (March 2023) Authors: Han, Taihao; Bhat, Rohan; Ponduru, Sai Akshay; Sarkar, Amit; Huang, Jie; Sant, Gaurav; Ma, Hongyan; Neithalath, Narayanan; Kumar, Aditya Journal: Cement and concrete research Issue: Volume 165(2023) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
3. Machine learning as a tool to design glasses with controlled dissolution for healthcare applications. (15th April 2020) Authors: Han, Taihao; Stone-Weiss, Nicholas; Huang, Jie; Goel, Ashutosh; Kumar, Aditya Journal: Acta biomaterialia Issue: Volume 107(2020) Page Start: 286 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
4. Machine learning enabled closed‐form models to predict strength of alkali‐activated systems. Issue 6 (15th February 2022) Authors: Han, Taihao; Gomaa, Eslam; Gheni, Ahmed; Huang, Jie; ElGawady, Mohamed; Kumar, Aditya Journal: Journal of the American Ceramic Society Issue: Volume 105:Issue 6(2022) Page Start: 4414 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
5. Machine learning for high-fidelity prediction of cement hydration kinetics in blended systems. (October 2021) Authors: Cook, Rachel; Han, Taihao; Childers, Alaina; Ryckman, Cambria; Khayat, Kamal; Ma, Hongyan; Huang, Jie; Kumar, Aditya Journal: Materials & design Issue: Volume 208(2021) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
6. Machine learning to predict properties of fresh and hardened alkali-activated concrete. (January 2021) Authors: Gomaa, Eslam; Han, Taihao; ElGawady, Mohamed; Huang, Jie; Kumar, Aditya Journal: Cement & concrete composites Issue: Volume 115(2021) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
7. Predicting compressive strength of alkali-activated systems based on the network topology and phase assemblages using tree-structure computing algorithms. (20th June 2022) Authors: Bhat, Rohan; Han, Taihao; Akshay Ponduru, Sai; Reka, Arianit; Huang, Jie; Sant, Gaurav; Kumar, Aditya Journal: Construction & building materials Issue: Volume 336(2022) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
8. Predicting mechanical properties of ultrahigh temperature ceramics using machine learning. Issue 11 (15th July 2022) Authors: Han, Taihao; Huang, Jie; Sant, Gaurav; Neithalath, Narayanan; Kumar, Aditya Journal: Journal of the American Ceramic Society Issue: Volume 105:Issue 11(2022) Page Start: 6851 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
9. Prediction of surface chloride concentration of marine concrete using ensemble machine learning. (October 2020) Authors: Cai, Rong; Han, Taihao; Liao, Wenyu; Huang, Jie; Li, Dawang; Kumar, Aditya; Ma, Hongyan Journal: Cement and concrete research Issue: Volume 136(2020) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗