| Deep learning approaches for mining structure-property linkages in high contrast composites from simulation datasets Z Yang, YC Yabansu, R Al-Bahrani, W Liao, AN Choudhary, SR Kalidindi, ... Computational Materials Science 151, 278-287, 2018 | 292 | 2018 |
| Microstructural materials design via deep adversarial learning methodology Z Yang, X Li, L Catherine Brinson, AN Choudhary, W Chen, A Agrawal Journal of Mechanical Design 140 (11), 111416, 2018 | 227 | 2018 |
| Establishing structure-property localization linkages for elastic deformation of three-dimensional high contrast composites using deep learning approaches Z Yang, YC Yabansu, D Jha, W Liao, AN Choudhary, SR Kalidindi, ... Acta Materialia 166, 335-345, 2019 | 152 | 2019 |
| A real-time iterative machine learning approach for temperature profile prediction in additive manufacturing processes A Paul, M Mozaffar, Z Yang, W Liao, A Choudhary, J Cao, A Agrawal 2019 IEEE International Conference on Data Science and Advanced Analytics …, 2019 | 76 | 2019 |
| Numerical and experimental investigation on nozzle parameters for R410A ejector air conditioning system J Hu, J Shi, Y Liang, Z Yang, J Chen International journal of refrigeration 40, 338-346, 2014 | 74 | 2014 |
| Context aware machine learning approaches for modeling elastic localization in three-dimensional composite microstructures R Liu, YC Yabansu, Z Yang, AN Choudhary, SR Kalidindi, A Agrawal Integrating Materials and Manufacturing Innovation 6, 160-171, 2017 | 73 | 2017 |
| A deep adversarial learning methodology for designing microstructural material systems X Li, Z Yang, LC Brinson, A Choudhary, A Agrawal, W Chen International Design Engineering Technical Conferences and Computers and …, 2018 | 66 | 2018 |
| IRNet: A general purpose deep residual regression framework for materials discovery D Jha, L Ward, Z Yang, C Wolverton, I Foster, W Liao, A Choudhary, ... Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019 | 51 | 2019 |
| Enabling deeper learning on big data for materials informatics applications D Jha, V Gupta, L Ward, Z Yang, C Wolverton, I Foster, W Liao, ... Scientific reports 11 (1), 4244, 2021 | 43 | 2021 |
| Learning to predict crystal plasticity at the nanoscale: Deep residual networks and size effects in uniaxial compression discrete dislocation simulations Z Yang, S Papanikolaou, ACE Reid, W Liao, AN Choudhary, C Campbell, ... Scientific reports 10 (1), 8262, 2020 | 27 | 2020 |
| Deep learning based domain knowledge integration for small datasets: Illustrative applications in materials informatics Z Yang, R Al-Bahrani, ACE Reid, S Papanikolaou, SR Kalidindi, W Liao, ... 2019 International Joint Conference on Neural Networks (IJCNN), 1-8, 2019 | 20 | 2019 |
| A general framework combining generative adversarial networks and mixture density networks for inverse modeling in microstructural materials design Z Yang, D Jha, A Paul, W Liao, A Choudhary, A Agrawal arXiv preprint arXiv:2101.10553, 2021 | 9 | 2021 |
| Generative adversarial networks and mixture density networks-based inverse modeling for microstructural materials design Y Mao, Z Yang, D Jha, A Paul, W Liao, A Choudhary, A Agrawal Integrating Materials and Manufacturing Innovation 11 (4), 637-647, 2022 | 8 | 2022 |
| Data-driven insights from predictive analytics on heterogeneous experimental data of industrial magnetic materials Z Yang, T Watari, D Ichigozaki, K Morohoshi, Y Suga, W Liao, ... 2019 International Conference on Data Mining Workshops (ICDMW), 806-813, 2019 | 4 | 2019 |
| SIGRNN: Synthetic Minority Instances Generation in Imbalanced Datasets using a Recurrent Neural Network. R Al-Bahrani, D Jha, Q Kang, S Lee, Z Yang, WK Liao, A Agrawal, ... ICPRAM, 349-356, 2021 | 2 | 2021 |
| Heterogeneous feature fusion based machine learning on shallow-wide and heterogeneous-sparse industrial datasets Z Yang, T Watari, D Ichigozaki, A Mitsutoshi, H Takahashi, Y Suga, W Liao, ... Pattern Recognition. ICPR International Workshops and Challenges: Virtual …, 2021 | 1 | 2021 |
| Deep Learning for Computer Vision and Applications in Materials Informatics Z Yang Northwestern University, 2021 | | 2021 |
Ankit AgrawalResearch Professor, Northwestern UniversityVerified email at eecs.northwestern.edu
