Assist. Prof. Dr. Lu Wang | Machine Learning in Physics | Research Excellence Award
Assistant Professor | City University of Hong Kong | Hong Kong
Assist. Prof. Dr. Lu Wang, based at City University of Hong Kong, specializes in computational materials science and additive manufacturing. His research focuses on multi-physics modeling, crystal plasticity, and microstructure evolution. He is skilled in finite element analysis, simulation, and materials characterization. Dr. Wang has published in leading journals such as Nature Communications and earned recognition for impactful research contributions. According to Scopus, he has 30 documents, 1,411 citations, and an h-index of 18, reflecting his strong influence in advancing computational materials engineering.
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Featured Publications
Mechanism of keyhole pore formation in metal additive manufacturing
– NPJ Computational Materials, 2022 (Citations: 286)
Phase-field modeling of grain evolutions in additive manufacturing from nucleation, growth, to coarsening
– NPJ Computational Materials, 2021 (Citations: 268)
Evaporation model for keyhole dynamics during additive manufacturing of metal
– Physical Review Applied, 2020 (Citations: 135)
Influence of oxygen content on melt pool dynamics in metal additive manufacturing: High-fidelity modeling with experimental validation
– Acta Materialia, 2023 (Citations: 90)
Phase-field modeling of grain evolution in additive manufacturing with addition of reinforcing particles
– Additive Manufacturing, 2021 (Citations: 89)
Lu Wang | Machine Learning in Physics | Research Excellence Award