• Emerging Non-Volatile Memory Materials and Devices
• Computing-in-memory: Devices and Simulation
• Neuromorphic Computing: Memory Devices and Simulation
• Next-Generation Semiconductor Materials, Devices, and Design

受邀演講 Invited Talks

• “Ultra-Low-Power Capacitive Piezotronic Force Sensor for Future Sensory Memory Systems”, The 48th National Conference on Theoretical and Applied Mechanics (CTAM 2024) & The 3rd International Conference on Mechanics (3rd ICM), 29-30/Nov./2024, at National Tsing Hua University, Hsinchu, Taiwan
• "Towards a Sensory Memory System: Incorporating Piezotronic Sensors, Ionic Memory, and Spiking Neural Networks Learning", The 7th International Conference on Active Materials and Soft Mechatronics 2024 (AMSM 2024), 27-30/Oct./2024, 2024 at Songdo ConvensiA, Incheon, Korea
• “Advancements in Intelligent Sensing: Incorporating Near-Sensor Computation for Ultra-Low-Power Tactile Applications”, NexGen Materials Engineering and Applications Summit, 23-25/Sept./2024 in Tokyo, Japan (Virtual)
• “Capacitive Piezotronic Force Sensor with Ultra-Low Power for Next-Generation Sensory Memory System”, 7th International Conference on Materials Science & Nanotechnology (ICMSN2024), 15 - 16/July/2024 at Vienna, Austria (Virtual)
• “An Investigation on Capacitive Piezotronic Force Sensor for Future Force-driven Motion Sensor Applications”, 2023 Fall Conference of the Korean Sensors Society, the 5th Japan, Taiwan and Korea joint Symposium on Sensors and the related Materials, 11-13/Oct./2023 
• "Computing-In-Memory with Resistive Memory for Accelerating Sensing Data Process", International Conference on Smart Sensors 2021 (ICSS 2021)

期刊 Journals

• Yu-Liang Hsiao, Chen Jang, Yi-Miao Lin, Chao-Hung Wang, and Chuan-Pu Liu, "An Ultra-Low-Power and Wide-Operating-Voltage-Window Capacitive Piezo-tronic Sensor through Coupling of Piezo-charges and Depletion Widths for Tactile Sensing," ACS Applied Materials & Interfaces, 2023, 15, 42, 49338–49345. (I.F.: 9.5) 
• Bing Zhang, Jiankang He, Gaofeng Zheng, Yuanyuan Huang, Chaohung Wang, Peisheng He, Fanping Sui, Lingchao Meng, and Liwei Lin, "Electrohydrodynamic 3D printing of orderly carbon/nickel composite network as supercapacitor electrodes," Journal of Materials Science & Technology, 2021, 82, 135–143. (I.F.: 10.9) 
• Yu-Hsuan Lin, Dai-Ying Lee, Chao-Hung Wang, Ming-Liang Wei, Ming-Hsiu Lee, Hsiang-Lan Lung, Kuang-Yeu Hsieh, Keh-Chung Wang, Chih-Yuan Lu, "Impacts and solutions of nonvolatile-memory-induced weight error in the computing-in-memory neural network system, " Japanese Journal of Applied Physics, 2020. (I.F.: 1.5) 
• Yu-Hsuan Lin, Chao-Hung Wang, Ming-Hsiu Lee, Dai-Ying Lee, Yu-Yu Lin, Feng-Min Lee, Hsiang-Lan Lung, Keh-Chung Wang, Tseung-Yuen Tseng, Chih-Yuan Lu, "Performance Impacts of Analog ReRAM Non-ideality on Neuromorphic Computing," IEEE Transactions on Electron Devices, 2019. (I.F.: 3.1) 
• Chen-Yu Tsai, Kapil Gupta, Chao-Hung Wang, Chuan-Pu Liu, "Ultrahigh UV responsivity of single nonpolar a-axial GaN nanowire with asymmetric piezopotential via piezo-phototronic effect: Dependence of carrier screening effect on strain," Nano Energy, 2017. (I.F.: 17.6) 
• Chun-Pin Huang, Kapil Gupta, Chao-Hung Wang, Chuan-Pu Liu, and Kun-Yu Lai, "High-quality AlN grown with a single substrate temperature below 1200 C," Scientific reports, 2017. (I.F.: 4.6) 
• Nai-Jen Ku, Guocheng Liu, Chao-Hung Wang, Kapil Gupta, Wei-Shun Liao, Dayan Ban, Chuan-Pu Liu, "Optimal geometrical design of inertial vibration DC piezoelectric nanogenerators based on obliquely aligned InN nanowire arrays," Nanoscale, 2017. (I.F.: 8.307) 
• Yen-Yu Chen, Chao-Hung Wang, Giin-Shan Chen, Yi-Chang Li, Chuan-Pu Liu, "Self-powered n-Mg x Zn 1-x O/p-Si photodetector improved by alloying-enhanced piezopotential through piezo-phototronic effect," Nano Energy, 2015. (I.F.: 17.6) 
• Chao‐Hung Wang, Kun‐Yu Lai, Yi‐Chang Li, Yen‐Chih Chen, and Chuan‐Pu Liu, "Ultrasensitive Thin‐Film‐Based AlxGa1− xN Piezotronic Strain Sensors via Alloying‐Enhanced Piezoelectric Potential," Advanced Materials, 2015. (I.F.: 32.086) 
• Chao‐Hung Wang, Wei‐Shun Liao, Zong‐Hong Lin, Nai‐Jen Ku, Yi‐Chang Li, Yen‐Chih Chen, Zhong‐Lin Wang, and Chuan‐Pu Liu, "Optimization of the output efficiency of GaN nanowire piezoelectric nanogenerators by tuning the free carrier concentration," Advanced Energy Materials, 2014. (I.F.: 29.698) 
• Chao‐Hung Wang, Wei‐Shun Liao, Nai‐Jen Ku, Yi‐Chang Li, Yen‐Chih Chen, Li‐Wei Tu, and Chuan‐Pu Liu, "Effects of free carriers on piezoelectric nanogenerators and piezotronic devices made of GaN nanowire arrays," Small, 2014. (I.F.: 13.3) 
• Chia-Hao Tu, Che-Chia Chang, Chao-Hung Wang, Hisn-Chiao Fang, Michael RS Huang, Yi-Chang Li, Hung-Jen Chang, Cheng-Hsueh Lu,; Yen-Chih Chen, Ruey-Chi Wang, "Resistive memory devices with high switching endurance through single filaments in Bi-crystal CuO nanowires," Journal of Alloys and Compounds, 2014. (I.F.: 6.317) 
• Chao‐Hung Wang, Wei‐Shun Liao, Zong‐Hong Lin, Nai‐Jen Ku, Yi‐Chang Li, Yen‐Chih Chen, Zhong‐Lin Wang, and Chuan‐Pu Liu, "Optimization of the output efficiency of GaN nanowire piezoelectric nanogenerators by tuning the free carrier concentration," Advanced Energy Materials, 2014. (I.F.: 29.698) 
• Nai‐Jen Ku, Chao‐Hung Wang, Jun‐Han Huang, Hsin‐Chiao Fang, Po‐Chien Huang, and Chuan‐Pu Liu, "Energy Harvesting from the Obliquely Aligned InN Nanowire Array with a Surface Electron‐Accumulation Layer," Advanced Materials, 2013. (I.F.: 32.086) 
• Chao-Hung Wang, Yu-Wen Huang, Shang-En Wu, and Chuan-Pu Liu,  "Is it viable to improve light output efficiency by nano-light-emitting diodes?" Applied Physics Letters, 2013. (I.F.: 3.7) 
• Nai-Jen Ku, Jun-Han Huang, Chao-Hung Wang, Hsin-Chiao Fang, and Chuan-Pu Liu, "Crystal face-dependent nanopiezotronics of an obliquely aligned InN nanorod array," Nano letters, 2012. (I.F.: 10.8) 
• Ruey‐Chi Wang, Hsin‐Ying Lin, Chao‐Hung Wang, and Chuan‐Pu Liu, "Fabrication of a Large‐Area Al‐Doped ZnO Nanowire Array Photosensor with Enhanced Photoresponse by Straining," Advanced Functional Materials, 2012. (I.F.: 19.924) 
• Yen-Chih Chen; Chao-Hung Wang, Wei-Ting Chen, Bi-Hua Li, Li-Wei Tu, and Chuan-Pu Liu, "Undoped and Ga-doped hexagonal platelet interconnected ZnS nanowires: Cathodoluminescence and metal–semiconductor electron transport transition," Scripta Materialia, 2011. (I.F.: 6.302) 
• Yen-Chih Chen, Chao-Hung Wang, Hsin-Ying Lin, Bi-Hua Li, Wei-Ting Chen, and Chuan-Pu Liu, "Growth of Ga-doped ZnS nanowires constructed by self-assembled hexagonal platelets with excellent photocatalytic properties," Nanotechnology, 2010. (I.F.: 3.5) 
• Chien-Lin Kuo, Ruey-Chi Wang, Jow-Lay Huang, Chuan-Pu Liu, Chun-Kai Wang, Sheng-Po Chang,  Wen-Huei Chu, Chao-Hung Wang, Chia-hao Tu, "The synthesis and electrical characterization of Cu2O/Al: ZnO radial p–n junction nanowire arrays," Nanotechnology, 2009. (I.F.: 3.5)

研討會論文 Conference Papers

• Chiu-Chang Cheng, Shih-Wei Liu, Chao-Hung Wang*, Sayani Majumdar, and Ya-Ning Chang, "An Investigation of Electronic Neuronal Time Constants on Spiking Neural Networks Performance", Neuro-Inspired Computational Elements (NICE 2025), 25-28/Mar./2025, at Heidelberg University, Kirchhoff-Institute for Physics, European Institute for Neuromorphic Computing (EINC) Building, Heidelberg, Germany
• Chiu-Chang Cheng, Hsiao-Hua Hsu, Ya-Ning Chang, Sayani Majumdar, and Chao-Hung Wang*, "Impact of Memory Device Time Constants on Spiking Neural Networks Performance", in International Electron Devices & Materials Symposium & Symposium on Nano-Device Circuits and Technologies 2024 (IEDMS&SNDCT 2024), 19-21/Aug./2024, Poster
• Hsiao-Hua Hsu, Chao-Hung Wang*, Chuan-Pu Liu*, "Study on Proton-Transportation Behavior of Metal Oxide-based Electrochemical Synapse", in MRS-T International Conference 2023 (MRSTIC 2023), 17-20/Nov./2023 (Excellence Poster Award)
• H. H. Hsu, T. Y. Liao, W. H. Chu, and C. H. Wang*, "Study on the Influence of the Interfacial Layers on the Performance of Lithium Cobalt Oxide-Based Electronic Synapse," in International Electron Devices & Materials Symposium 2023 (IEDMS 2023), 19-20/Oct./2023 (Poster) 
• Wen-Huei Chu, Chan Jang, Te-Yu Liao, Wei-An Chen, and Chao-Hung Wang, "An Investigation on Electrochemical-Ionic-Transport-Based Electronic Synapses for Adaptive Sensor Applications," in International Conference on Smart Sensors 2023 (ICSS 2023), Oral Presentation.
• Yu-Liang Hsiao, Chen Jang, Yi-Miao Lin, Chao-Hung Wang, and Chuan-Pu Liu, "Investigation into Ultra-Low-Power Capacitive Piezo-tronic Force Sensor" in 2023 Materials Research Society (MRS) Spring Meeting, Oral Presentation.
• Yu-Hsuan Lin, Dai-Ying Lee, Chao-Hung Wang, Ming-Hsiu Lee, Yung-Han Ho, Erh-Kun Lai, Kuang-Hao Chiang, Hsiang-Lan Lung, Keh-Chung Wang, and Tseung-Yuen Tseng, "Excellent high temperature retention of TiOxNy ReRAM by interfacial layer engineering" in 2018 International Symposium on VLSI Technology, Systems and Application (VLSI-TSA).
• CH Wang, FM Lee, YY Lin, PH Tseng, KC Hsu, DY Lee, MH Lee, HL Lung, KY Hsieh, KC Wang, and CY Lu, "Reliable and Low Forming Voltage RRAM Enabled by Contact Shrinking and Pre-Soldering Baking" in International Conference on Solid State Devices and Materials (SSDM) 2018.
• Chao-Hung Wang, Kuang-Hao Chiang, Yu-Hsuan Lin, Jau-Yi Wu, Yung-Han Ho, Erh-Kun Lai, Dai-Ying Lee, Ming-Hsiu Lee, Kuang-Yeu Hsieh, and Chih-Yuan Lu, "Filament control of field-enhanced WO x resistive memory toward low power applications" in 2017 International Symposium on VLSI Technology, Systems and Application (VLSI-TSA).
• Y.-H. Lin, Y.-H. Ho, M.-H. Lee, C.-H. Wang, Y.-Y. Lin, F.-M. Lee, K.-C. Hsu, P.-H. Tseng, D.-Y. Lee, K.-H. Chiang, K.-C. Wang, T.-Y. Tseng*, and C.-Y. Lu, "A Si-Doped High-Performance WOx Resistance Memory Using a Novel Field-Enhanced Structure" in The 63rd IEEE International Electron Devices Meeting, 2017.
• Yu-Hsuan Lin, Yung-Han Ho, Ming-Hsiu Lee, Chao-Hung Wang, Yu-Yu Lin, Feng-Ming Lee, Kai-Chieh Hsu, Po-Hao Tseng, Dai-Ying Lee, and Kuang-Hao Chiang, "A comprehensive study of 3-stage high resistance state retention behavior for TMO ReRAMs from single cells to a large array" in 2017 IEEE International Electron Devices Meeting (IEDM).
• Kuang-Hao Chiang, Erh-Kun Lai, Chao-Hung Wang, Yu-Hsuan Lin, Po-Hao Tseng, Jau-Yi Wu, Ming-Hsiu Lee, Dai-Ying Lee, Yu-Yu Lin, Feng-Ming Lee, "A Si-Doped High-Performance WOx Resistance Memory Using a Novel Field-Enhanced Structure" in 2016 IEEE 8th International Memory Workshop (IMW).

專利 Patents

• Yu-Hsuan Lin, and Chao-Hung Wang, "Operating method for semiconductor circuit," US Patent App. 17/195,712, 2021.
• Ming-Hsiu Lee, and Chao-Hung Wang, "Semiconductor device for performing sum-of-product computation and operating method thereof," US Patent 10,970,044, 2021.
• Yu-Hsuan Lin, and Chao-Hung Wang, "Semiconductor circuit and operating method for the same," US Patent 10,971,200, 2021.
• Yu-Hsuan Lin, Chao-Hung Wang, and Ming-Hsiu Lee, "In-memory computing devices for neural networks," US Patent 11,138,497, 2021.
• Chao-Hung Wang, Dai-Ying LEE, Kuang-Hao Chiang, Yu-Hsuan Lin, and Tsung-Ming Chen, "Resistive memory device and method for fabricating the same," US Patent App. 16/102,985, 2020.
• Chao-Hung Wang, Yu-Hsuan Lin, Ming-Liang WEI, and Dai-Ying LEE, "Memory device and operation method thereof," US Patent App. 16/522,986, 2020.
• Chao-Hung Wang, Yu-Hsuan Lin, and Dai-Ying LEE, "Semiconductor structure and method for forming the same," US Patent App. 16/249,049, 2020.
• Yu-Hsuan Lin, Yu-Yu Lin, Feng-Min Lee, Chao-Hung Wang, Po-Hao Tseng, and Kai-Chieh Hsu, "Multi-state memory device and method for adjusting memory state characteristics of the same," US Patent 10,482,953, 2019.

研究計畫 Projects

• 開發新穎記憶體材料應用於記憶體運算與仿神經型態運算元件應用 MOST 111-2222-E-006 -005 -MY2
• NCKU 41, “Development of new emerging memories for Brain-inspired computing”, 2022 SATU Joint Research Scheme (JRS)
• 111學年新進教師暨研究人員學術研究計畫補助

• 仿神經型態計算概論 Introduction to Neuromorphic Computing (Joint course with Assistant Prof. Ya-Ning Chang)
• 人工智慧運算與記憶體 AI and Memory
• 半導體先進製程概論 Introduction to Advanced Semiconductor Manufacturing Technology (Joint course with ASML, an EUV leader company)
• 半導體記憶體元件與設計實務 (Joint course with Associate Prof. Darsen Lu, EECS NCKU)

實驗室成員 Lab Members

• 博三：呂昊諭(敏求智慧運算學院-旺宏產博共同指導學生)
• 碩二：劉士瑋(敏求智慧運算學院)、鄭九彰(敏求智慧運算學院)
• 碩一：莊詠筌(智慧半導體及永續製造學院)

已畢業學生 Alumni

• 碩士：張辰(工學院材料系-共同指導學生)，畢業動向：力積電
• 碩士：廖得宇(工學院材料系-共同指導學生)，畢業動向：台積電
• 碩士：許孝華(工學院材料系-共同指導學生)
• 專題生：侯詠涵 (工學院材料系)，畢業動向：自行創業中

Prof. Chao-Hung Wang was awarded the UAiTED 2023 Faculty Exchange Scholarship rewards in July 2023.

More information on UAiTED official website:

https://uaited.ust.edu.tw/xmdoc/cont?xsmsid=0K084684705048005583&sid=0N181369583744217020