Reverse engineering of additive manufactured composite part by toolpath reconstruction using imaging and machine learning K Yanamandra, GL Chen, X Xu, G Mac, N Gupta Composites Science and Technology 198, 108318, 2020 | 72 | 2020 |
Extracting elastic modulus at different strain rates and temperatures from dynamic mechanical analysis data: A study on nanocomposites X Xu, C Koomson, M Doddamani, RK Behera, N Gupta Composites Part B: Engineering 159, 346-354, 2019 | 49 | 2019 |
Determining elastic modulus from dynamic mechanical analysis: a general model based on loss modulus data X Xu, N Gupta Materialia 4, 221-226, 2018 | 28 | 2018 |
Artificial Neural Network: Artificial Neural Network Approach to Predict the Elastic Modulus from Dynamic Mechanical Analysis Results (Adv. Theory Simul. 4/2019) X Xu, N Gupta Advanced Theory and Simulations 2 (4), 1970011, 2019 | 25* | 2019 |
Determining elastic modulus from dynamic mechanical analysis data: Reduction in experiments using adaptive surrogate modeling based transform X Xu, N Gupta Polymer 157, 166-171, 2018 | 23 | 2018 |
Artificial neural network approach to predict the elastic modulus from dynamic mechanical analysis results X Xu, N Gupta Advanced Theory and Simulations 2 (4), 1800131, 2019 | 22 | 2019 |
Tailoring composite materials for nonlinear viscoelastic properties using artificial neural networks X Xu, M Elgamal, M Doddamani, N Gupta Journal of Composite Materials 55 (11), 1547-1560, 2021 | 18 | 2021 |
Artificial neural network approach to determine elastic modulus of carbon fiber-reinforced laminates X Xu, N Gupta Jom 71 (11), 4015-4023, 2019 | 18 | 2019 |
Application of radial basis neural network to transform viscoelastic to elastic properties for materials with multiple thermal transitions X Xu, N Gupta Journal of Materials Science 54 (11), 8401-8413, 2019 | 18 | 2019 |
Use of machine learning methods in syntactic foam design X Xu, N Gupta Encyclopedia of Materials: Plastics and Polymers, https://doi.org/10.1016 …, 2021 | 3 | 2021 |
Machine Learning Approach to Characterize Elastic, Viscoelastic, Relaxation and Creep Behavior of Materials X Xu New York University Tandon School of Engineering, 2020 | 2 | 2020 |
Development of porous composite filament for additive manufacturing of lightweight components N Gupta, X Xu Innovative Materials for Additive Manufacturing conference, 2020 | 1 | 2020 |
Artificial neural network approach to tailor composite materials with nonlinear viscoelasticity X Xu, M Elgamal, N Gupta 35th Annual American Society for Composites Technical Conference, ASC 2020 …, 2020 | 1 | 2020 |
Reverse engineering of 3D printed composite part by toolpath reconstruction K Yanamandra, GL Chen, X Xu, G Mac, N Gupta 35th Annual American Society for Composites Technical Conference, ASC 2020 …, 2020 | | 2020 |