Fingerprint
Dive into the research topics where Shenghan Guo is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 1 Similar Profiles
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
-
3D Printable Hydrogel with Tunable Degradability and Mechanical Properties as a Tissue Scaffold for Pelvic Organ Prolapse Treatment
Zhu, Y., Kwok, T., Haug, J. C., Guo, S., Chen, X., Xu, W., Ravichandran, D., Tchoukalova, Y. D., Cornella, J. L., Yi, J., Shefi, O., Vernon, B. L., Lott, D. G., Lancaster, J. N. & Song, K., May 25 2023, In: Advanced Materials Technologies. 8, 10, 2201421.Research output: Contribution to journal › Article › peer-review
17 Link opens in a new tab Scopus citations -
3D Printing-Enabled Design and Manufacturing Strategies for Batteries: A Review
Fonseca, N., Thummalapalli, S. V., Jambhulkar, S., Ravichandran, D., Zhu, Y., Patil, D., Thippanna, V., Ramanathan, A., Xu, W., Guo, S., Ko, H., Fagade, M., Kannan, A. M., Nian, Q., Asadi, A., Miquelard-Garnier, G., Dmochowska, A., Hassan, M. K., Al-Ejji, M. & El-Dessouky, H. M. & 2 others, , Dec 13 2023, In: Small. 19, 50, 2302718.Research output: Contribution to journal › Review article › peer-review
Open Access68 Link opens in a new tab Scopus citations -
A Deep-Learning-Based Surrogate Model for Thermal Signature Prediction in Laser Metal Deposition
Guo, S., Guo, W., Bian, L. & Guo, Y. B., Jan 1 2023, In: IEEE Transactions on Automation Science and Engineering. 20, 1, p. 482-494 13 p.Research output: Contribution to journal › Article › peer-review
28 Link opens in a new tab Scopus citations -
Applications and prospects of machine learning for aerosol jet printing: A review
Guo, S., Ko, H. & Wang, A., 2023, (Accepted/In press) In: IISE Transactions.Research output: Contribution to journal › Article › peer-review
6 Link opens in a new tab Scopus citations -
DEFECT SEGMENTATION FROM X-RAY COMPUTED TOMOGRAPHY OF LASER POWDER BED FUSION PARTS: A COMPARATIVE STUDY AMONG MACHINE LEARNING, DEEP LEARNING, AND STATISTICAL IMAGE THRESHOLDING METHODS
Ouidadi, H., Xu, B. & Guo, S., 2023, Additive Manufacturing; Advanced Materials Manufacturing; Biomanufacturing; Life Cycle Engineering. American Society of Mechanical Engineers, v001t01a012. (Proceedings of ASME 2023 18th International Manufacturing Science and Engineering Conference, MSEC 2023; vol. 1).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
2 Link opens in a new tab Scopus citations
Press/Media
-
Study Data from Arizona State University Update Understanding of Machine Learning (Knowledge-transfer-enabled Porosity Prediction for New Part Geometry In Laser Metal Deposition)
10/24/23
1 item of Media coverage
Press/Media: Press / Media
-
Findings on Electronics Reported by Investigators at Arizona State University (3d Printing-enabled Design and Manufacturing Strategies for Batteries: a Review)
8/30/23
1 item of Media coverage
Press/Media: Press / Media
-
Researcher from Arizona State University Discusses Findings in Sensor Research (Di-CNN: Domain-Knowledge-Informed Convolutional Neural Network for Manufacturing Quality Prediction)
6/21/23
1 item of Media coverage
Press/Media: Press / Media
-
Reports from Arizona State University Describe Recent Advances in Tissue Engineering (3d Printable Hydrogel With Tunable Degradability and Mechanical Properties As a Tissue Scaffold for Pelvic Organ Prolapse Treatment)
Chen, X., Vernon, B. & Guo, S.
4/10/23
1 item of Media coverage
Press/Media: Press / Media
-