| Prediction of surface chloride concentration of marine concrete using ensemble machine learning R Cai, T Han, W Liao, J Huang, D Li, A Kumar, H Ma Cement and Concrete Research 136, 106164, 2020 | 164 | 2020 |
| An ensemble machine learning approach for prediction and optimization of modulus of elasticity of recycled aggregate concrete T Han, A Siddique, K Khayat, J Huang, A Kumar Construction and Building Materials 244, 118271, 2020 | 159 | 2020 |
| Machine learning to predict properties of fresh and hardened alkali-activated concrete E Gomaa, T Han, M ElGawady, J Huang, A Kumar Cement and Concrete Composites 115, 103863, 2021 | 95 | 2021 |
| Machine learning as a tool to design glasses with controlled dissolution for healthcare applications T Han, N Stone-Weiss, J Huang, A Goel, A Kumar Acta biomaterialia 107, 286-298, 2020 | 65 | 2020 |
| Machine learning for high-fidelity prediction of cement hydration kinetics in blended systems R Cook, T Han, A Childers, C Ryckman, K Khayat, H Ma, J Huang, ... Materials & Design 208, 109920, 2021 | 35 | 2021 |
| Resistive switching in atomic layer deposited HfO2/ZrO2 nanolayer stacks L Tang, H Maruyama, T Han, JC Nino, Y Chen, D Zhang Applied Surface Science 515, 146015, 2020 | 31 | 2020 |
| Machine learning enables prompt prediction of hydration kinetics of multicomponent cementitious systems J Lapeyre, T Han, B Wiles, H Ma, J Huang, G Sant, A Kumar scientific reports 11, 3922, 2021 | 27* | 2021 |
| Fiber optic sensor embedded smart helmet for real-time impact sensing and analysis through machine learning Y Zhuang, Q Yang, T Han, R O’Malley, A Kumar, RE Gerald II, J Huang Journal of neuroscience methods 351, 109073, 2021 | 21 | 2021 |
| Machine learning enabled models to predict sulfur solubility in nuclear waste glasses X Xu, T Han, J Huang, AA Kruger, A Kumar, A Goel ACS Applied Materials & Interfaces 13 (45), 53375-53387, 2021 | 17 | 2021 |
| Deep learning to predict the hydration and performance of fly ash-containing cementitious binders T Han, R Bhat, SA Ponduru, A Sarkar, J Huang, G Sant, H Ma, ... Cement and Concrete Research 165, 107093, 2023 | 13 | 2023 |
| Predicting compressive strength of alkali-activated systems based on the network topology and phase assemblages using tree-structure computing algorithms R Bhat, T Han, SA Ponduru, A Reka, J Huang, G Sant, A Kumar Construction and Building Materials 336, 127557, 2022 | 13 | 2022 |
| Machine learning enabled closed‐form models to predict strength of alkali‐activated systems T Han, E Gomaa, A Gheni, J Huang, M ElGawady, A Kumar Journal of the American Ceramic Society 105 (6), 4414-4425, 2022 | 12 | 2022 |
| A deep learning approach to design and discover sustainable cementitious binders: strategies to learn from small databases and develop closed-form analytical models T Han, SA Ponduru, R Cook, J Huang, G Sant, A Kumar Frontiers in Materials 8, 796476, 2022 | 10 | 2022 |
| Predicting mechanical properties of ultrahigh temperature ceramics using machine learning T Han, J Huang, G Sant, N Neithalath, A Kumar Journal of the American Ceramic Society 105 (11), 6851-6863, 2022 | 9 | 2022 |
| Mechanism underlying effect of expansive agent and shrinkage reducing admixture on mechanical properties and fiber-matrix bonding of fiber-reinforced mortar K Aghaee, T Han, A Kumar, KH Khayat Cement and Concrete Research 172, 107247, 2023 | 4 | 2023 |
| Predicting Compressive Strength and Hydration Products of Calcium Aluminate Cement Using Data-Driven Approach SA Ponduru, T Han, J Huang, A Kumar Materials 16 (2), 654, 2023 | 3 | 2023 |
| Predicting Dissolution Kinetics of Tricalcium Silicate Using Deep Learning and Analytical Models T Han, SA Ponduru, A Reka, J Huang, G Sant, A Kumar Algorithms 16 (1), 7, 2022 | 3 | 2022 |
| On the use of machine learning and data-transformation methods to predict hydration kinetics and strength of alkali-activated mine tailings-based binders S Surehali, T Han, J Huang, A Kumar, N Neithalath Construction and Building Materials 419, 135523, 2024 | 2 | 2024 |
| Modeling hydration kinetics of sustainable cementitious binders using an advanced nucleation and growth approach T Han, J Huang, G Sant, N Neithalath, A Goel, A Kumar Construction and Building Materials 404, 133327, 2023 | 2 | 2023 |
| A fiber-optic sensor-embedded and machine learning assisted smart helmet for multi-variable blunt force impact sensing in real time Y Zhuang, T Han, Q Yang, R O’Malley, A Kumar, RE Gerald, J Huang Biosensors 12 (12), 1159, 2022 | 2 | 2022 |
Aditya KumarAssociate Professor, Missouri University of Science and Technology, Rolla, MOVerified email at mst.edu
