| The filler effect: the influence of filler content and surface area on cementitious reaction rates T Oey, A Kumar, JW Bullard, N Neithalath, G Sant Journal of the American Ceramic Society 96 (6), 1978-1990, 2013 | 472 | 2013 |
| The rheological properties of ternary binders containing Portland cement, limestone, and metakaolin or fly ash K Vance, A Kumar, G Sant, N Neithalath Cement and Concrete Research 52, 196-207, 2013 | 322 | 2013 |
| 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 | 223 | 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 | 198 | 2020 |
| Quantitative discrimination of the nano-pore-structure of cement paste during drying: New insights from water sorption isotherms HM Jennings, A Kumar, G Sant Cement and Concrete Research 76, 27-36, 2015 | 188 | 2015 |
| Effect of mixing on the early hydration of alite and OPC systems P Juilland, A Kumar, E Gallucci, RJ Flatt, KL Scrivener Cement and Concrete Research 42 (9), 1175-1188, 2012 | 163 | 2012 |
| Modelling early age hydration kinetics of alite A Kumar, S Bishnoi, KL Scrivener Cement and Concrete Research 42 (7), 903-918, 2012 | 163 | 2012 |
| Prediction of Compressive Strength of Concrete: Critical Comparison of Performance of a Hybrid Machine Learning Model with Standalone Models R Cook, J Lapeyre, H Ma, A Kumar ASCE Journal of Materials in Civil Engineering 31 (11), 04019255, 2019 | 149 | 2019 |
| The influence of sodium and potassium hydroxide on alite hydration: Experiments and simulations A Kumar, G Sant, C Patapy, C Gianocca, KL Scrivener Cement and Concrete Research 42 (11), 1513-1523, 2012 | 140 | 2012 |
| Simple methods to estimate the influence of limestone fillers on reaction and property evolution in cementitious materials A Kumar, T Oey, S Kim, D Thomas, S Badran, J Li, F Fernandes, ... Cement and Concrete Composites 42, 20-29, 2013 | 136 | 2013 |
| 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 | 132 | 2021 |
| A review: Material and structural properties of UHPC at elevated temperatures or fire conditions Y Zhu, H Hussein, A Kumar, G Chen Cement and Concrete Composites, 2021 | 129 | 2021 |
| The filler effect: The influence of filler content and type on the hydration rate of tricalcium silicate A Kumar, T Oey, G Falzone, J Huang, M Bauchy, M Balonis, N Neithalath, ... Journal of the American Ceramic Society, https://doi.org/10.1111/jace.14859, 2017 | 112 | 2017 |
| A dissolution-precipitation mechanism is at the origin of concrete creep in moist environments I Pignatelli, A Kumar, R Alizadeh, Y Le Pape, M Bauchy, G Sant The Journal of Chemical Physics 145 (http://dx.doi.org/10.1063/1.4955429 …, 2016 | 105 | 2016 |
| Improvement of flexural and tensile strength of layered-casting UHPC with aligned steel fibers Y Zhang, Y Zhu, S Qu, A Kumar, X Shao Construction and Building Materials 251, 118893, 2020 | 102 | 2020 |
| Topological Control on Silicates Dissolution Kinetics I Pignatelli, A Kumar, M Bauchy, G Sant Langmuir 32 (18), 4434–4439, 2016 | 100 | 2016 |
| Effective thermal conductivity of three-component composites containing spherical capsules AM Thiele, A Kumar, G Sant, L Pilon International Journal of Heat and Mass Transfer 73, 177-185, 2014 | 97 | 2014 |
| The influence of sodium and potassium hydroxide on volume changes in cementitious materials G Sant, A Kumar, C Patapy, G Le Saout, K Scrivener Cement and concrete research 42 (11), 1447-1455, 2012 | 87 | 2012 |
| Rheology, hydration, and strength evolution of interground limestone cement containing PCE dispersant and high volume supplementary cementitious materials I Mehdipour, A Kumar, KH Khayat Materials & Design 127, 54-66, 2017 | 82 | 2017 |
| 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, 2020 | 75 | 2020 |
Gaurav N. SantProfessor and Pritzker Chair in Sustainability, UCLAEmail confirmado em ucla.edu
