Assistant Professor (2023/02-)

• Department of Mechanical Engineering, National Cheng Kung University

Project Assistant Professor (2021/08-2023/01)

• Department of Materials Science and Engineering, National Cheng Kung University

Guest Editor

• Crystals (ISSN 2073-4352) (2022-2023)

Member of Alloy Phase Committee (2020-now)

• The Minerals, Metals & Materials Society (TMS), USA

Symposium organizer

• Leading organizer:  The Minerals, Metals & Materials Society Annual meeting (TMS), USA (2024-)
•  Co-organizer: The Minerals, Metals & Materials Society Annual meeting (TMS), USA (2020-2023)

Assistant Research Fellow (2020-2021)

• Hierarchical Green-Energy Materials Research Center, National Cheng Kung University

Visiting Scholar

• Dept. MS&E at University of Wisconsin-Madison, USA (2018-2019)
• Institute of Scientific and Industrial Research at Osaka University, Japan (2015)

1. 機器學習應用於材料科學
2. 合金與金屬材料
3. 計算相圖
4. 材料相平衡
5. 材料設計
6. 同步輻射X光技術

1. 低溫銲料
2. 高溫銲料
3. 氫能冶金
4. 高爐煉鐵
5. 金屬積層製造
6. 鋅離子電池陽極

1. 機械製造
2. 機械材料
3. 人工智慧深度學習概論與應用
4. 高等材料結構學

1. Y.-C. Liu*, D. Morgan, T. Yamamoto and G. R. Odette, "Characterizing the flux effect on the irradiation embrittlement of reactor pressure vessel steels using machine learning", Acta Materialia, 256, 119144 (2023) (#IF = 9.4, Rank: 3/78 = 3.8% in METALLURGY & METALLURGICAL ENGINEERING -- SCIE). 

2. T. Banda, Y.-C. Liu*, A. A. Farid, and C.-S. Lim, "A machine learning model for flank wear prediction in face milling of Inconel 718", International Journal of Advanced Manufacturing Technology, 126, 935-945 (2023) (#IF = 3.563, Rank: 28/65 = 43 % in AUTOMATION & CONTROL SYSTEMS). 

3. Y.-C. Liu, H. Wu, T. Mayeshiba, B. Afflerbach, R. Jacobs, J. Perry, J. George, J. Cordell, J. Xia, H. Yuan, A. Lorenson, H. Wu, M. Parker, F. Doshi, A. Politowicz, L. Xiao, D. Morgan, P. Wells, N. Almirall, T. Yamamoto and G. R. Odette, “Machine Learning Predictions of Irradiation Embrittlement in Reactor Pressure Vessel Steels”, npj Computational Materials, 8, 85 (2022) (#IF = 12.256, Rank:33/345 = 9.6% in MATERIALS SCIENCE, MULTIDISCIPLINARY). 

4. Y.-C. Liu, T.-Y. Liu, T.-H. Huang, K.-C. Chiu, S.-k. Lin, "Exploring dielectric constant and dissipation factor of LTCC using machine learning", Materials, 14(19), 5784 (2021) (Special Issue: Simulation and Reliability Assessment of Advanced Packaging) (IF = 3.748, Rank: 18/79 = 23% in METALLURGY & METALLURGICAL ENGINEERING). 

5. Y.-C. Liu, S.-K. Lin, and S.-J. Chiu, “On the Schmid's Law for the electric current-induced deformation: An in situ EBSD study”, International Journal of Mechanical Sciences, 168, 105295  (2020) (IF = 5.329, Rank:12/135 = 9% in MECHANICS -- SCIE). 

6. Y.-C. Liu, S.-K. Lin, H. Zhang, C. Chen, S. Nagao, and K. Suganuma, "Reactive wafer bonding with nanoscale Ag/Cu multilayers”, Scripta Materialia, 184, 1-5 (2020) (IF = 5.611, Rank: 5/80 = 6% in METALLURGY & METALLURGICAL ENGINEERING -- SCIE).  

7. Y.-C. Liu, B. Afflerbach, R. Jacobs, S.-K. Lin and D. Morgan, “Exploring effective charge in electromigration using machine learning”, MRS Communications, 1-9 (2019) (Special Issue Research Letter: Artificial Intelligence [by invitation only]) (IF = 1.997, Rank: 197/314 = 63% in MATERIALS SCIENCE, MULTIDISCIPLINARY -- SCIE).  

8. Y.-C. Liu, Y.-S. Yu, S.-J. Chiu, and S.-K. Lin, “Electromigration effect upon single- and two-phase Ag-Cu alloy strips: an in situ study”, Scripta Materialia, 173, 134-138 (2019) (IF = 5.079, Rank:6/79 = 8% in METALLURGY & METALLURGICAL ENGINEERING -- SCIE).