| 4D printing of recyclable lightweight architectures using high recovery stress shape memory polymer A Li, A Challapalli, G Li Scientific reports 9 (1), 7621, 2019 | 105 | 2019 |
| Inverse machine learning framework for optimizing lightweight metamaterials A Challapalli, D Patel, G Li Materials & Design 208, 109937, 2021 | 87 | 2021 |
| 3D printable biomimetic rod with superior buckling resistance designed by machine learning A Challapalli, G Li Scientific Reports 10 (1), 20716, 2020 | 23 | 2020 |
| Machine learning assisted design of new lattice core for sandwich structures with superior load carrying capacity A Challapalli, G Li Scientific Reports 11 (1), 18552, 2021 | 20 | 2021 |
| Continuum model for effective properties of orthotropic octet-truss lattice materials A Challapalli, J Ju ASME International Mechanical Engineering Congress and Exposition 46583 …, 2014 | 20 | 2014 |
| Inverse machine learning discovered metamaterials with record high recovery stress A Challapalli, J Konlan, G Li International Journal of Mechanical Sciences 244, 108029, 2023 | 15 | 2023 |
| Loading mode dependent effective properties of octet-truss lattice structures using 3D-printing A Challapalli University of North Texas, 2015 | 7 | 2015 |
| Discovery of cellular unit cells with high natural frequency and energy absorption capabilities by an inverse machine learning framework A Challapalli, J Konlan, D Patel, G Li Frontiers in Mechanical Engineering 7, 779098, 2021 | 6 | 2021 |
| Machine Learning Guided Optimization of Biomimetic Polymeric Lattice Structures A Challapalli, G Li Elsevier, 2021 | 3 | 2021 |
| Recyclable Thermoset Polymers for 4D Printing A Li, A Challapalli, X Feng, G Li Elsevier, 2022 | 1 | 2022 |
| Light-Weight Structural Optimization Through Biomimicry, Machine Learning, and Inverse Design A Challapalli Louisiana State University and Agricultural & Mechanical College, 2022 | | 2022 |
