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Xiaoyu Xie

PhD candidate at Northwestern University

Publications

Journals & Preprints:

  • Xie, X., Mowlavi, S., Benosman, M., (2024). Smooth and sparse latent dynamics in operator learning with jerk regularization. arXiv preprint arXiv:2402.15636.
  • Xie, X., Samaei, A., Guo, J., Liu, W. K., & Gan, Z., (2022). Data-driven discovery of dimensionless numbers and governing laws from scarce measurements. Nature Communications, 13, 7562. https://doi.org/10.1038/s41467-022-35084-w
  • Xie, X., Liu, W. K., & Gan, Z. (2021). Data-driven discovery of dimensionless numbers and scaling laws from experimental measurements. arXiv preprint arXiv:2111.03583.
  • Xie, X., Bennett, J., Saha, S., Lu, Y., Cao, J., Liu, W. K., & Gan, Z. (2021). Mechanistic data-driven prediction of as-built mechanical properties in metal additive manufacturing. npj Computational Materials - Nature, 7(1), 1–12. https://doi.org/10.1038/s41524-021-00555-z
  • Guo, J., Park, C., Xie, X., Sang, Z., Wagner, G. J., & Liu, W. K. (2024). Convolutional Hierarchical Deep Learning Neural Networks-Tensor Decomposition (C-HiDeNN-TD): a scalable surrogate modeling approach for large-scale physical systems. arXiv preprint arXiv:2409.00329.
  • Park, C., Saha, S., Guo, J., Xie, X., Mojumder, S., Bessa, M. A., Qian, D., Chen, W., Wagner, G., Cao, J. and Liu, W. K. (2024). Engineering software 2.0 by interpolating neural networks: unifying training, solving, and calibration. arXiv preprint arXiv:2404.10296.
  • Amin, A. A., Li, Y., Lu, Y., Xie, X., Gan, Z., Mojumder, S., … & Liu, W. K. (2024). Physics guided heat source for quantitative prediction of IN718 laser additive manufacturing processes. npj Computational Materials - Nature, 10(1), 37.
  • Mozaffar, M., Liao, S., Xie, X., Saha, S., Park, C., Cao, J., Liu, W. K., & Gan, Z. (2021). Mechanistic artificial intelligence (Mechanistic-AI) for modeling, design, and control of advanced manufacturing processes: Current state and perspectives. Journal of Materials Processing Technology, 117485. https://doi.org/10.1016/j.jmatprotec.2021.117485
  • Samaei, A., Leonor, J. P., Gan, Z., Sang, Z., Xie, X., Simonds, B. J., Liu, W. K. & Wagner, G. J. (2024). Benchmark study of melt pool and keyhole dynamics, laser absorptance, and porosity in additive manufacturing of Ti-6Al-4V. Progress in Additive Manufacturing, 1-25.
  • Li, Y., Mojumder, S., Lu, Y., Al Amin, A., Guo, J., Xie, X., W Chen, GJ Wagner, J Cao & Liu, W. K. (2024). Statistical parameterized physics-based machine learning digital shadow models for laser powder bed fusion process. Additive Manufacturing, 87, 104214.
  • Saha, S., Gan, Z., Cheng, L., Gao, J., Kafka, O. L., Xie, X., Li, H., Tajdari, M., Kim, H. A., & Liu, W. K. (2021). Hierarchical Deep Learning Neural Network (HiDeNN): An artificial intelligence (AI) framework for computational science and engineering. Computer Methods in Applied Mechanics and Engineering, 373, 113452. https://doi.org/10.1016/j.cma.2020.113452
  • Shao, J., Samaei, A., Xue, T., Xie, X., Guo, S., Cao, J., MacDonald, E., Gan, Z., Additive friction stir deposition of metallic materials: process, structure and properties. Materials & Design, https://doi.org/10.1016/j.matdes.2023.112356, 112356.
  • Xue, T., Liao, S., Gan, Z., Park, C., Xie, X., Liu, W. K., & Cao, J. (2023). JAX-FEM: A differentiable GPU-accelerated 3D finite element solver for automatic inverse design and mechanistic data science. Computer Physics Communications, 108802.
  • Zhang, L., Yu, G., Li, S., He, X., Xie, X., Xia, C., Ning, W., & Zheng, C. (2019). The effect of laser surface melting on grain refinement of phase separated Cu-Cr alloy. Optics & Laser Technology, 119, 105577. https://doi.org/10.1016/j.optlastec.2019.105577

Patents:

  • Liu, W. K., Saha, S., Mojumder, S., Suarez, D. A., Lu, Y., Li, H., Xie, X. & Gan, Z. (2024). U.S. Patent Application No. 18/286,619.
  • Yu, G., Xie, X., et al. An evaluation method for the relationship between plasma and final modification effect during laser modification, CN 106296649 A, (Granted patent; Chinese patent)

Talks

  • Xie, X., Samaei, A., Guo, J., Gan, Z., Liu, W., Data-driven discovery of dimensionless numbers and governing laws from scarce measurements, Scientific Machine Learning Webinar, Carnegie Mellon University, March, 2023.
  • Xie, X., Gan, Z., Liu, W., Dimensionless learning for discovering new dimensionless numbers, 16th U.S. National Congress on Computational Mechanics (USNCCM16), July 25-29, 2021, Virtual Event.
  • Xie, X., Gan, Z., Saha, S., Liu, W., Mechanistic digital twin of metal additive manufacturing, Mechanistic Machine Learning and Digital Twins for Computational Science, Engineering & Technology (MMLDT-CSET 2021), Sep. 2021, San Diego, USA. Video

Codes