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Shuang Lin
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Stretchable nanolayered thermoelectric energy harvester on complex and dynamic surfaces
Y Yang, H Hu, Z Chen, Z Wang, L Jiang, G Lu, X Li, R Chen, J Jin, H Kang, ...
Nano letters 20 (6), 4445-4453, 2020
1182020
3D printing of nacre-inspired structures with exceptional mechanical and flame-retardant properties
Y Yang, Z Wang, Q He, X Li, G Lu, L Jiang, Y Zeng, B Bethers, J Jin, S Lin, ...
Research, 2022
312022
Recent advancements in biomimetic 3D printing materials with enhanced mechanical properties
X Yan, B Bethers, H Chen, S Xiao, S Lin, B Tran, L Jiang, Y Yang
Frontiers in Materials 8, 518886, 2021
312021
Generative deep learning as a tool for inverse design of high-entropy refractory alloys
A Debnath, AM Krajewski, H Sun, S Lin, M Ahn, W Li, S Priya, J Singh, ...
Journal of Materials Informatics, 2021
272021
Comparing forward and inverse design paradigms: A case study on refractory high-entropy alloys
A Debnath, L Raman, W Li, AM Krajewski, M Ahn, S Lin, S Shang, ...
Journal of Materials Research 38 (17), 4107-4117, 2023
22023
Design and validation of refractory alloys using machine learning, CALPHAD, and experiments
W Li, L Raman, A Debnath, M Ahn, S Lin, AM Krajewski, S Shang, S Priya, ...
International Journal of Refractory Metals and Hard Materials 121, 106673, 2024
12024
Predictions and correlation analyses of Ellingham diagrams in binary oxides
SL Shang, S Lin, MC Gao, DG Schlom, ZK Liu
arXiv preprint arXiv:2308.05837, 2023
12023
High Throughput Computational Framework of Materials Properties for Extreme Environments
ZK Liu, SL Shang, AM Beese, Y Wang, A Eghtesad, J Shimanek, S Qin, ...
Pennsylvania State Univ., University Park, PA (United States), 2022
12022
Investigation of ideal shear strength of dilute binary and ternary Ni-based alloys using first-principles calculations, CALPHAD modeling and correlation analysis
S Lin, SL Shang, JD Shimanek, Y Wang, AM Beese, ZK Liu
arXiv preprint arXiv:2404.19098, 2024
2024
First-principles Investigation of Thermodynamic Properties of CrNbO4 and CrTaO4
S Lin, SL Shang, AM Beese, ZK Liu
arXiv preprint arXiv:2403.00705, 2024
2024
An Interactive and Iterative Framework for Refractory Alloys Based on Machine Learning, Calphad and Experiments
W Li, L Raman, M Ahn, A Debnath, S Lin, AM Krajewski, SL Shang, ...
Calphad and Experiments, 0
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