52 citations · 64 across the 7 of their papers we have counts for
7 papers
Phase stability and mechanical response of Ag-interlayered Al/Cu resistance spot-welded joints
Shuang Lin, Kyubok Lee, Jiahui Ye +6
Dissimilar Al/Cu joints are essential to battery-pack assemblies; however, their mechanical strength is limited by brittle Al-Cu intermetallic compounds (IMCs) such as Al2Cu and Al…
Thermodynamic modeling of binaries in Cr-Fe-Mo-Nb-Ni supported by first-principles calculations
Hui Sun, Shun-Li Shang, Shuang Lin +3
Thermodynamic descriptions of all binaries within the Cr-Fe-Mo-Nb-Ni system have been complied and, where necessary, remodeled. Notably, the Cr-Fe and Fe-Mo systems have been remod…
Investigation of ideal shear strength of dilute binary and ternary Ni-based alloys using first-principles calculations, CALPHAD modeling and correlation analysis
Shuang Lin, Shun-Li Shang, John D. Shimanek +3
In the present work, the ideal shear strength (τ_is) of dilute Ni34XZ ternary alloys (X or Z = Al, Co, Cr, Fe, Mn, Mo, Nb, Si, Ti) are predicted by first-principles calculations ba…
Temperature-dependent thermodynamic properties of CrNbO4 and CrTaO4 by first-principles calculations
Shuang Lin, Shun-Li Shang, Allison M. Beese +1
In the present work, the density functional theory (DFT) in the generalized-gradient approximation developed by Perdew, Burke, and Ernzerhof (PBE) +U method, i.e., PBE+U, was emplo…
Predictions and correlation analyses of Ellingham diagrams in binary oxides
Shun-Li Shang, Shuang Lin, Michael C. Gao +2
Knowing oxide-forming ability is vital to gain desired or avoid deleterious oxides formation through tuning oxidizing environment and materials chemistry. Here, we have conducted a…
Comparing Forward and Inverse Design Paradigms: A Case Study on Refractory High-Entropy Alloys
Arindam Debnath, Lavanya Raman, Wenjie Li +7
The rapid design of advanced materials is a topic of great scientific interest. The conventional, ``forward'' paradigm of materials design involves evaluating multiple candidates t…
Generative deep learning as a tool for inverse design of high-entropy refractory alloys
Arindam Debnath, Adam M. Krajewski, Hui Sun +9
Generative deep learning is powering a wave of new innovations in materials design. In this article, we discuss the basic operating principles of these methods and their advantages…