| Prediction of concrete strengths enabled by missing data imputation and interpretable machine learning GA Lyngdoh, M Zaki, NMA Krishnan, S Das Cement and Concrete Composites 128, 104414, 2022 | 90 | 2022 |
| Realistic atomic structure of fly ash-based geopolymer gels: Insights from molecular dynamics simulations GA Lyngdoh, R Kumar, NM Krishnan, S Das The Journal of Chemical Physics 151 (6), 2019 | 30 | 2019 |
| Elucidating the auxetic behavior of cementitious cellular composites using finite element analysis and interpretable machine learning GA Lyngdoh, NK Kelter, S Doner, NMA Krishnan, S Das Materials & Design 213, 110341, 2022 | 25 | 2022 |
| Integrating multiscale numerical simulations with machine learning to predict the strain sensing efficiency of nano-engineered smart cementitious composites GA Lyngdoh, S Das Materials & Design 209, 109995, 2021 | 25 | 2021 |
| Fracture toughness of fly ash-based geopolymer gels: Evaluations using nanoindentation experiment and molecular dynamics simulation GA Lyngdoh, S Nayak, NMA Krishnan, S Das Construction and Building Materials 262, 120797, 2020 | 25 | 2020 |
| Influence of microencapsulated phase change materials (PCMs) on the chloride ion diffusivity of concretes exposed to Freeze-thaw cycles: Insights from multiscale numerical … S Nayak, GA Lyngdoh, S Das Construction and Building Materials 212, 317-328, 2019 | 24 | 2019 |
| Fracture toughness of sodium aluminosilicate hydrate (NASH) gels: Insights from molecular dynamics simulations GA Lyngdoh, S Nayak, R Kumar, NM Anoop Krishnan, S Das Journal of Applied Physics 127 (16), 2020 | 14 | 2020 |
| Elucidating the Constitutive Relationship of Calcium–Silicate–Hydrate Gel using High Throughput Reactive Molecular Simulations and Machine Learning GA Lyngdoh, H Li, M Zaki, NMA Krishnan, S Das Scientific Reports, 2020 | 14 | 2020 |
| Dynamics of confined water and its interplay with alkali cations in sodium aluminosilicate hydrate gel: insights from reactive force field molecular dynamics GA Lyngdoh, R Kumar, NMA Krishnan, S Das Physical Chemistry Chemical Physics 22 (41), 23707-23724, 2020 | 12 | 2020 |
| Bayesian updating of structural model with a conditionally heteroscedastic error distribution GA Lyngdoh, MA Rahman, SK Mishra Journal of Engineering Mechanics 145 (12), 04019091, 2019 | 12 | 2019 |
| Elucidating the interfacial bonding behavior of over-molded hybrid fiber reinforced polymer composites: experiment and multiscale numerical simulation GA Lyngdoh, S Das ACS Applied Materials & Interfaces 14 (38), 43666-43680, 2022 | 9 | 2022 |
| Predicting the near field underwater explosion response of coated composite cylinders using multiscale simulations, experiments, and machine learning S Nayak, GA Lyngdoh, A Shukla, S Das Composite Structures 283, 115157, 2022 | 9 | 2022 |
| Evaluating the adhesion response of acrylonitrile-butadiene-styrene (ABS)/thermoplastic polyurethane (TPU) fused interface using multiscale simulation and experiments JT Villada, GA Lyngdoh, R Paswan, B Oladipo, S Das Materials & Design 232, 112155, 2023 | 6 | 2023 |
| Fracture response of wollastonite fiber-reinforced cementitious composites: Evaluation using micro-indentation and finite element simulation S Doner, GA Lyngdoh, S Nayak, S Das Ceramics International 48 (11), 15493-15503, 2022 | 6 | 2022 |
| Machine learning guided design of microencapsulated phase change materials incorporated concretes for enhanced freeze-thaw durability H Li, G Lyngdoh, NMA Krishnan, S Das Cement and Concrete Composites, 105090, 2023 | 5 | 2023 |
| Experimental monitoring and modeling of fatigue damage for 3D-printed polymeric beams under irregular loading H Li, G Lyngdoh, S Doner, R Yuan, D Chelidze International Journal of Mechanical Sciences 233, 107626, 2022 | 5 | 2022 |
| Finite Element-Based Numerical Simulations to Evaluate the Influence of Wollastonite Microfibers on the Dynamic Compressive Behavior of Cementitious Composites GA Lyngdoh, S Doner, S Nayak, S Das Materials 14 (16), 4435, 2021 | 2 | 2021 |
| An investigation into the electromechanical performance of textile fabrics with conductive yarn elements for data transfer capabilities B Chaudhary, GA Lyngdoh, J Owens, S Das, H Matos Textile Research Journal, 00405175241242139, 2024 | | 2024 |
| Multiscale Simulation and Machine Learning-Assisted Performance Prediction for Cementitious Composites GA Lyngdoh University of Rhode Island, 2022 | | 2022 |
| Supplementary information to Predicting the Near Field Underwater Explosion Response of Coated Composite Cylinders using Multiscale Simulations, Experiments, and Machine Learning S Nayak, GA Lyngdoh, A Shukla, S Das | | |
Sumanta DasAssociate Professor, University of Rhode Island在 uri.edu 的电子邮件经过验证
