Projects per year
Personal profile
Education
- 2004 PhD, Department of Mechanical Engineering (Design), Stanford University, USA
- 2000 MS, Department of Materials Science and Engineering, Stanford University, USA
- 1995 BS, Department of Materials Science and Engineering, National Tsing Hua University, Taiwan
Research Interests
- 3D Printing
- Atomic Force Microscopy and Nanoanalysis
- Bacteria and Cell In-Situ Analysis
- Lithium Ion Battery Characterization
- Nano Device Design and Fabrication
Experience
- 2017/08~present, Professor, Department of Materials Science and Engineering, National Cheng Kung University
- 2013/08~2017/07, Associate Professor, Department of Materials Science and Engineering, National Cheng Kung University
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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Projects
- 16 Finished
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Detection of live SARS-CoV-2 virus and its variants by specially designed SERS-active substrates and spectroscopic analyses
Sitjar, J., Liao, J. D., Lee, H., Tsai, H. P., Wang, J. R., Chen, C. H., Wang, H. & Liu, B. H., 2023 May 22, In: Analytica Chimica Acta. 1256, 341151.Research output: Contribution to journal › Article › peer-review
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A multilevel nonvolatile visible light photomemory based on charge transfer in conformal zinc-tin oxide/Au nanoparticle heterostructures
Shih, L. C., Lin, S. R., Chaurasiya, R., Kung, P. Y., Jhang, S. S., Liu, B. H., Su, Y. H. & Chen, J. S., 2022 May 20, In: Journal of Materials Chemistry C. 10, 21, p. 8181-8191 11 p.Research output: Contribution to journal › Article › peer-review
4 Citations (Scopus) -
Emerging machine learning strategies for diminishing measurement uncertainty in SPM nanometrology
Nguyen, L. T. P. & Liu, B. H., 2022 Sept, In: Surface Topography: Metrology and Properties. 10, 3, 033002.Research output: Contribution to journal › Review article › peer-review
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Machine learning approach for reducing uncertainty in AFM nanomechanical measurements through selection of appropriate contact model
Nguyen, L. T. P. & Liu, B. H., 2022 Jul 1, In: European Journal of Mechanics, A/Solids. 94, 104579.Research output: Contribution to journal › Article › peer-review
5 Citations (Scopus) -
Machine learning framework for determination of elastic modulus without contact model fitting
Nguyen, L. T. P. & Liu, B. H., 2022 Dec 1, In: International Journal of Solids and Structures. 256, 111976.Research output: Contribution to journal › Article › peer-review
1 Citation (Scopus)