activity
20192023
most citedUncertainty Quantification and Composition Optimization for Alloy Additive Manufacturing Through a CALPHAD-based ICME Framework

56 citations · 137 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2023★ 7 cited

Photoswap: Personalized Subject Swapping in Images

Jing Gu, Yilin Wang, Nanxuan Zhao +8

In an era where images and visual content dominate our digital landscape, the ability to manipulate and personalize these images has become a necessity. Envision seamlessly substit…

cond-mat.mtrl-sci2021

Design Strength-Ductility Synergy of Metastable High-Entropy Alloys by Tailoring Unstable Fault Energies

Xin Wang, Rafael Rodriguez De Vecchis, Chenyang Li +4

Metastable alloys with transformation/twinning-induced plasticity (TRIP/TWIP) can overcome the strength-ductility trade-off in structural materials. Originated from the development…

cond-mat.mtrl-sci2020★ 56 cited

Uncertainty Quantification and Composition Optimization for Alloy Additive Manufacturing Through a CALPHAD-based ICME Framework

Xin Wang, Wei Xiong

During powder production, the pre-alloyed powder composition often deviates from the target composition leading to undesirable properties of additive manufacturing (AM) components.…

cond-mat.mtrl-sci2020★ 48 cited

Stacking fault energy prediction for austenitic steels: thermodynamic modeling vs. machine learning

Xin Wang, Wei Xiong

Stacking fault energy (SFE) is of the most critical microstructure attribute for controlling the deformation mechanism and optimizing mechanical properties of austenitic steels, wh…

cond-mat.mtrl-sci2019★ 26 cited

Post-Heat Treatment Design of High-Strength Low-Alloy Steels Processed by Laser Powder Bed Fusion

Soumya Sridar, Yunhao Zhao, Kun Li +2

In this study, a post-heat treatment design for additively manufactured copper-bearing high-strength low-alloy (HSLA)-100 steel is performed by understanding the process-structure-…