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)
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).
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).
S. Cheng, Y. Jiao, and Y. Ren,
"Data-Driven Learning of Three-Point Correlation Functions as Microstructure Representations,"
Acta Materialia, 229, 117800 (2022).
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).
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).
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).
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).