Oxide semiconductors and hybrid materials for sustainable flexible electronics


  • Juan Paolo Bermundo ⋅ JP Nara Institute of Science and Technology, Japan


The transition to Society 5.0 emphasizes enhanced connectivity between people and the digital space and underscores the increased significance of information including its accessibility. Thin-film transistors (TFTs) play a pivotal role in displays, sensors, and edge devices, which are fundamental components of the modern information infrastructure. Recently, amorphous oxide semiconductors (AOS) have gained prominence as exceptional TFT materials, due to their remarkable blend of electrical performance, transparency, and energy efficiency. Nevertheless, AOS TFTs are primarily fabricated via vacuum process. As Society 5.0 takes shape, a surge in ubiquitous devices is anticipated, necessitating cost-effective high throughput fabrication methods. Thus, a paradigm shift towards solution process will be needed since solution process implies that TFT layers can be produced with: (1) cost-effective equipment, (2) up to 99% material utilization, and (3) a low temperature process which is needed for applications in healthcare, energy, and electronic devices. Although improvements in the performance of solution AOS TFTs have been reported, further work is needed for it to be comparable with vacuum process.
Truly achieving high throughput and cost-effective fabrication also requires that all TFT layers are solution processed. Early variations of fully solution-processed TFTs were challenging to fabricate, had insufficient performance (mobility (μ) < 1 cm2/Vs), and poor reliability. Therefore, high temperature (>400°C) process and exotic materials were needed to obtain μ < 10 cm2/Vs. Here, we demonstrate how employing solution processed hybrid materials and low temperature processing of AOS through photonic process (UV, laser) and plasma process can be leveraged to develop fully solution processed TFTs with high performance (μ > 30 cm2/Vs) and improved stability. We will also show how Machine Learning methods can be used as a cost-effective method to augment experimental methods in predicting electrical properties of AOS. Furthermore, methods to inhibit impurities in precursors will be presented as well as novel device architectures that minimizes the influence of channel defects on TFT carrier transport.

About the Speaker

Juan Paolo Bermundo, Nara Institute of Science and Technology, Japan

Juan Paolo Bermundo SMIEEE (Senior member IEEE) is an assistant professor in the Division of Materials Science and Data Science Center (cross-appointment) at Nara Institute of Science and Technology. He has a background in both Physics (BS (2008) and MS (2012), Ateneo de Manila University) and Materials Science and Engineering (BS (2009) and PhD (2015), Nara Institute of Science and Technology) which has enabled him to work on multidisciplinary research topics, including oxide semiconductors, hybrid materials, thin-film electronics, device physics, device simulation, and machine learning, as reflected by his extensive peer-reviewed publication record (35+) and invited presentations/seminars (15+) in these fields. A bulk of his research is performed with both academic and industry collaborators inside and outside Japan. He also serves as a program committee member in key scientific conferences (EDTM 2022 and SSDM 2020-present) and a reviewer for several journal publications. His research contributions have been recognized with several awards, including AMFPD-ECS Japan Section Young Researcher Award, NAIST Academic Award, NAIST President’s Fellow, and numerous conference paper/presentation awards. He leads an international multidisciplinary research team and his students have also received awards for their outstanding achievements under his guidance.



Article ID



Invited Presentations



How to Cite

JP Bermundo, Oxide semiconductors and hybrid materials for sustainable flexible electronics, Proceedings of the Samahang Pisika ng Pilipinas 42, SPP-2024-INV-1B-01 (2024). URL: https://proceedings.spp-online.org/article/view/SPP-2024-INV-1B-01.