Journal Articles

  1. D. Wang, L. Liu, N. Basu,‡ and H. L. Zhuang, "High-throughput Computational Characterization of Two-dimensional Compositionally Complex Transition-metal Chalcogenide Alloys," Advanced Theory and Simulations, 3, 2000195 (2020). (‡ High school female student)
  2. D. Wang, L. Liu, and H. L. Zhuang, "Spin Qubit Based on the Nitrogen-vacancy Center Analog in a Diamond-like Compound C3BN," Journal of Applied Physics, 130, 225702 (2021). | web
  3. H. Torbati-Sarraf, S. Niverty, R. Singh, D. Barboza, V. De Andrade, P. Turaga, and N. Chawla, "Machine Learning-based Algorithms for Automated Image Segmentation of Transmission X-ray Microscopy (TXM) Datasets," JOM, 73 2173 (2021). | web
  4. S. Cheng, Y. Jiao, and Y. Ren, "Data-Driven Learning of Three-Point Correlation Functions as Microstructure Representations," Acta Materialia, 229, 117800 (2022). | web | repo
  5. P. E. Chen, R. Raghavan, Y. Zheng, K. Ankit, and Y. Jiao, "Quantifying Microstructural Evolution via Time-Dependent Reduced-Dimension Metrics Based on Hierarchical n-Point Polytope Functions," Physical Review E, 105, 025306 (2022). | web
  6. Y. Xu, P. E. Chen, H. Li, W. Xu, Y. Ren, W. Shan, and Y. Jiao, "Correlation-Function-Based Microstructure Design of Alloy-Polymer Composites for Dynamic Dry Adhesion Tuning in Soft Gripping," Journal of Applied Physics, 131, 115104 (2022). | web
  7. S. Sharifi, A. M. Nasab, P. E. Chen, Y. Liao, Y. Jiao, and W. Shan, "Robust Bi-continuous Metal-Elastomer Foam Composites with Highly Tunable Stiffness," Advanced Engineering Materials, in press (2022).
  8. T. Davydzenka, D. Sinclair, N. Chawla, P. Tahmasebi, "Deep-Layers-Assisted Machine Learning for Accurate Image Segmentation of Complex Materials," Materials Characterization, under revision (2022).