52 citations · 74 across the 8 of their papers we have counts for
8 papers
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…
Circumventing cracking in grading 316L stainless steel to Monel400 through compositional modifications
Zhening Yang, Alexander Richter, Hui Sun +2
In joining Fe-alloys and Cu-containing alloys to access the high strength of steels and corrosion resistance of Cu-alloy, cracking is widely observed due to the significant Cu micr…
MaterialsMap: A CALPHAD-Based Tool to Design Composition Pathways through feasibility map for Desired Dissimilar Materials, demonstrated with RSW Joining of Ag-Al-Cu
Hui Sun, Bo Pan, Zhening Yang +6
Assembly of dissimilar metals can be achieved by different methods, for example, casting, welding, and additive manufacturing (AM). However, undesired phases formed in liquid-phase…
Additively manufactured Ni-20Cr to V functionally graded material: computational predictions and experimental verification of phase formations
Beril Tonyali, Hui Sun, Brandon Bocklund +5
A database for the Cr-Ni-V system was constructed by modeling the binary Cr-V and ternary Cr-Ni-V systems using the CALPHAD approach aided by density functional theory (DFT)-based…
Design methodology for functionally graded materials: framework for considering cracking
Zhening Yang, Hui Sun, Zi-Kui Liu +1
In functionally graded materials (FGMs) fabricated using directed energy deposition (DED) additive manufacturing (AM), cracks may form due to interdendritic stress during solidific…
Thermodynamic modeling with uncertainty quantification in the Nb-Ni system using the upgraded PyCalphad and ESPEI
Hui Sun, Shun-Li Shang, Rushi Gong +3
The Nb-Ni system has been remodeled with uncertainty quantification (UQ) by using the presently upgraded software tools of PyCalphad and ESPEI that contain the new capability to mo…
Thermodynamic modeling of the Pd-Zn system with uncertainty quantification and its implication to tailor catalysts
Rushi Gong, Shun-Li Shang, Hui Sun +2
Pd-Zn intermetallic catalysts show encouraging combinations of activity and selectivity on well-defined active site ensembles. Thermodynamic description of the Pd-Zn system, deline…
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…