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Xiaolu Wei

Observed name: Wei, Xiaolu
ORCID: 0000-0002-8041-7775
Observed ORCID: 0000-0002-8041-7775
OpenAlex ID: A5085618178
Physical metallurgy-guided machine learning and artificial intelligent design of ultrahigh-strength stainless steel
2019 · Chunguang Shen, Chenchong Wang, et al. · Acta Materialia · 495
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Harmonizing physical and deep learning modeling: A computationally efficient and interpretable approach for property prediction
2024 · Da Ren, Chenchong Wang, et al. · Scripta Materialia · 277
Building a quantitative composition-microstructure-property relationship of dual-phase steels via multimodal data mining
2023 · Da Ren, Chenchong Wang, et al. · Acta Materialia · 104
On the use of transfer modeling to design new steels with excellent rotating bending fatigue resistance even in the case of very small calibration datasets
2022 · Xiaolu Wei, Sybrand van der Zwaag, et al. · Acta Materialia · 78
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Enabling strong and formable advanced high-strength steels through inherited homogeneous microstructure
2025 · Ning Xu, Lingyu Wang, et al. · Scripta Materialia · 70
Revolutionizing car body manufacturing using a unified steel metallurgy concept
2021 · Qi Lu, Qingquan Lai, et al. · Science Advances · 66
High cycle fatigue S-N curve prediction of steels based on transfer learning guided long short term memory network
2022 · Xiaolu Wei, Chi Zhang, et al. · International Journal of Fatigue · 60
Cr-alloyed novel press-hardening steel with superior combination of strength and ductility
2021 · Xiaolu Wei, Zhisong Chai, et al. · Materials Science and Engineering A · 54
From creep-life prediction to ultra-creep-resistant steel design: An uncertainty-informed machine learning approach
2025 · Chenchong Wang, Xiaolu Wei, et al. · Acta Materialia · 28
A deep learning method for extensible microstructural quantification of DP steel enhanced by physical metallurgy-guided data augmentation
2021 · Chunguang Shen, Xiaolu Wei, et al. · Materials Characterization · 27
Deep learning-based method for microstructure-property linkage of dual-phase steel
2023 · Da Ren, Xiaolu Wei, et al. · Computational Materials Science · 22
Compositionally flexible alloy design towards recycling mixed stainless steel scraps
2024 · Qiqi Liu, Lingyu Wang, et al. · Journal of Material Science and Technology · 11
Predicting stacking fault energy in austenitic stainless steels via physical metallurgy-based machine learning approaches
2025 · Longyu Song, Chenchong Wang, et al. · Journal of Materials Informatics · 8
Martensite Start Temperature Prediction through a Deep Learning Strategy Using Both Microstructure Images and Composition Data
2023 · Zenan Yang, Yong Li, et al. · Materials · 8
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Enhancing micro-hole quality and accuracy in stainless steel via femtosecond laser two-step spiral drilling processing
2026 · Zhixi Zhao, Shiyu Zhang, et al. · Optics & Laser Technology · 7
Industrial big data analysis strategy based on automatic data classification and interpretable knowledge graph
2025 · Bingtao Ren, Chenchong Wang, et al. · Journal of Materials Informatics · 4
Data and Knowledge Dual-Driven Creep Life Prediction for Austenitic Heat-Resistance Steel
2025 · Xiaochang Xie, Mutong Liu, et al. · Metals · 3
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Corrigendum to “Enabling strong and formable advanced high-strength steels through inherited homogeneous microstructure” [Scripta Materialia 259 (2025) 116560]
2026 · Ning Xu, Lingyu Wang, et al. · Scripta Materialia · 1
High-throughput design strategy for creep-resistance steel using machine learning and optimization algorithm
2025 · Chengbo Pan, Chenchong Wang, et al. · Materials Today Communications · 1
End-to-end prediction of internal defects from surface morphology in PBF-LB/M Ni-based superalloys via a multi-modal VAE model
2026 · Hao Yu, Xiaolu Wei, et al. · Progress in Additive Manufacturing
Knowledge-Graph-Guided Design of Compositionally Flexible Alloys for Sustainable Metal Recycling
2026 · Yong Li, Lingyu Wang, et al. · ChemRxiv
Physics‐Informed Machine Learning for Sustainable Alloy Design: Toward a Recyclable Unified Q&P Steel
2026 · Xiaolu Wei, Yong Li, et al. · Advanced Science
Application of deep learning for predicting carbon segregation in large-diameter continuously cast steel billets
2026 · Xiaolu Wei, Chenchong Wang, et al. · Journal of Materials Informatics
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PC-Diffusion: Aligning Diffusion Models with Human Preferences via Preference Classifier
2025 · Wang, Shaomeng, Wang, He, et al. · arXiv (Cornell University)
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Works count: 25
Citation count: 1,326
H-index: 11
I10-index: 12
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