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Sen Liu
Observed name:
Liu, Sen
Institutions:
Colorado School of Mines,
University of Louisiana at Lafayette
Observed institutions:
Colorado School of Mines,
SLAC National Accelerator Laboratory,
Stanford Synchrotron Radiation Lightsource,
University of Louisiana at Lafayette,
Stanford University
ORCID:
0000-0003-0249-4932
Observed ORCID:
0000-0003-0249-4932
OpenAlex ID:
A5080320500
A physics-informed machine learning model for porosity analysis in laser powder bed fusion additive manufacturing
2021
·
Rui Liu
, Sen Liu
, et al.
·
The International Journal of Advanced Manufacturing Technology
·
132
PDF
Physics-informed machine learning for composition – process – property design: Shape memory alloy demonstration
2020
·
Sen Liu
, Branden B. Kappes
, et al.
·
Applied Materials Today
·
131
Machine learning for knowledge transfer across multiple metals additive manufacturing printers
2021
·
Sen Liu
, Aaron P. Stebner
, et al.
·
Additive manufacturing
·
78
In-process comprehensive prediction of bead geometry for laser wire-feed DED system using molten pool sensing data and multi-modality CNN
2022
·
Noopur Dilip Jamnikar
, Sen Liu
, et al.
·
The International Journal of Advanced Manufacturing Technology
·
44
In situ microstructure property prediction by modeling molten pool-quality relations for wire-feed laser additive manufacturing
2022
·
Noopur Dilip Jamnikar
, Sen Liu
, et al.
·
Journal of Manufacturing Processes
·
43
Localized keyhole pore prediction during laser powder bed fusion via multimodal process monitoring and X-ray radiography
2023
·
Sanam Gorgannejad
, Aiden A. Martin
, et al.
·
Additive manufacturing
·
32
Comprehensive molten pool condition-process relations modeling using CNN for wire-feed laser additive manufacturing
2023
·
Noopur Jamnikar
, Sen Liu
, et al.
·
Journal of Manufacturing Processes
·
28
Interrelated process-geometry-microstructure relationships for wire-feed laser additive manufacturing
2022
·
Sen Liu
, Craig Brice
, et al.
·
Materials Today Communications
·
22
Hierarchical bead materials multi-property design for wire-feed laser additive manufacturing
2022
·
Sen Liu
, Craig Brice
, et al.
·
Journal of Manufacturing Processes
·
16
Direct mechanistic connection between acoustic signals and melt pool morphology during laser powder bed fusion
2024
·
Yuchen Sun
, Sanam Gorgannejad
, et al.
·
Applied Physics Letters
·
14
In-situ coaxial temperature monitoring of LPBF melt pool by a compact dual-wavelength thermometry system (CDWTS)
2025
·
Xiuhua Li
, Hui Li
, et al.
·
Optics and Lasers in Engineering
·
8
Automated phase segmentation and quantification of high-resolution TEM image for alloy design
2023
·
Sen Liu
, Behnam Amin-Ahmadi
, et al.
·
Materials Characterization
·
8
Real-Time Tracking and Analysis of Gas Bubble Dynamics in Laser Powder Bed Fusion Using In-Situ X-Ray Characterization and Machine Learning
2025
·
Sen Liu
, Vivek Thampy
, et al.
·
Additive manufacturing
·
4
A physics-informed feature engineering approach to use machine learning with limited amounts of data for alloy design: shape memory alloy demonstration.
2020
·
Sen Liu
, Branden B. Kappes
, et al.
·
arXiv (Cornell University)
·
4
Comprehensive process-molten pool relations modeling using CNN for wire-feed laser additive manufacturing
2021
·
Jamnikar, Noopur
, Liu, Sen
, et al.
·
arXiv (Cornell University)
·
3
PDF
In-situ sensor monitoring of multi-class gas porosity formation in laser powder bed fusion using convolutional neural network
2026
·
Sandesh Giri
, Sen Liu
, et al.
·
Journal of Intelligent Manufacturing
·
2
In situ x-ray imaging to understand subsurface behavior during continuous wave laser drilling
2024
·
Sanam Gorgannejad
, Aiden A. Martin
, et al.
·
Applied Physics Letters
·
2
Towards generative additive manufacturing: A conditional Wasserstein generative adversarial networks framework for layer-wise point generation and toolpath formation
2026
·
Matsive Ali
, Vijaya Gopu
, et al.
·
Additive Manufacturing Frontiers
·
1
Comprehensive Quality Investigations of Wire-Feed Laser Additive Manufacturing by Learning of Experiments
2022
·
Sen Liu
, Craig Brice
, et al.
·
SSRN Electronic Journal
·
1
Machine learning based in situ quality estimation by molten pool condition-quality relations modeling using experimental data
2021
·
Jamnikar, Noopur
, Liu, Sen
, et al.
·
arXiv (Cornell University)
·
1
PDF
Quantitative Analysis of In-Situ Synchrotron X-Ray Imaging for Crack Propagation in Laser Powder Bed Fusion of Aluminum Alloy
2026
·
Md Fardim S. Roney
, Matsive Ali
, et al.
·
Manufacturing Letters
Study of crack formation dynamics in aluminum alloy by using laser powder bed fusion and in-situ synchrotron X-ray characterization
2026
·
Matsive Ali
, Peiyu Quan
, et al.
·
Progress in Additive Manufacturing
Air versus inert gas effects on spatter during laser powder bed fusion of SUS316L stainless steel revealed by high-speed imaging
2026
·
Liwei Chen
, Yoshiki Sakai
, et al.
·
SSRN Electronic Journal
PDF
Air versus inert gas effects on spatter during laser powder bed fusion of SUS316L stainless steel revealed by high-speed imaging
2026
·
Liwei Chen
, Yoshiki Sakai
, et al.
·
SSRN Electronic Journal
High-resolution in situ characterization of laser powder bed fusion via transmission X-ray microscopy at X-ray free-electron lasers
2025
·
Zane Taylor
, Tharun Reddy
, et al.
·
Journal of Synchrotron Radiation
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Works count:
35
Citation count:
576
H-index:
10
I10-index:
10
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