| 2020 Topical Symposia |
| NO. | Topic | Time | Location | Coordinator | Introduction |
| 1 | 生物影像技術與生物物理
Bioimaging and biophysics(BIO) | O2:2/6 9:00~10:30
O3:2/6 13:30~15:00
O4:2/6 17:00-18:00 | W106 | 高甫仁 (國立陽明大學生醫光電研究所)
Fu-Jen Kao ( Institute of Biophotonics, National Yang-Ming University )/
林耿慧 (中央研究院物理研究所)
Keng-hui Lin ( Institute of Physics, Academia Sinica )/
謝佳龍 (中央研究院原子與分子科學研究所 )
Chia-Lung Hsieh ( Institute of Atomic and Molecular Sciences, Academia Sinica )/
朱士維 (國立臺灣大學物理學系)
Shi-Wei Chu ( Department of Physics, National Taiwan University )/
郭文娟(國立陽明大學生醫光電研究所)
Wen-Chuan Kuo ( Institute of Biophotonics, National Yang-Ming University ) | Bioimaging is a rapidly growing field and it has revolutionized biophysical research by providing data with high spatial and temporal resolutions. Meanwhile, deeper understanding of single molecules by biophysical studies also leads to significant advance in resolution and sensitivity enhancement of bioimaging. In the 2020 Annual Meeting, we are going to have a special symposium to bridge these two closely related fields of advanced imaging technology and biophysics. This symposium will bring together experts on not only super-resolution imaging, but also high-speed or deep-tissue imaging technologies, as well as their biophysical applications, to stimulate more young talents and more related research activities in Taiwan.
生物影像技術近年來的快速發展，為許多研究提供了高時間空間解析度的實驗數據，對生物物理領域有革命性的影響。同時，透過生物物理研究，對於單分子特性的深入了解更有助於實現更高解析度的生物影像技術。在2020年的台灣物理年會中，我們將舉辦「生物影像與生物物理」主題論壇，目的在連結這兩個息息相關的研究領域。這個主題論壇同時歡迎光學顯微技術專家以及利用生物影像進行生物物理研究的學者，希望透過這樣的主題論壇，讓相關研究人員有一個溝通交流的管道。也讓我們的學生對於這一個重要且發展快速的領域有更多的認識，有更多新血能夠投身於此領域的發展。 |
| 2 | 量子電腦與量子通訊
Quantum Computer and Quantum Communication(QCC) | O3:2/6 13:30~15:00
| W 3F Audiovisual classroom | 郭華丞 (國立中興大學物理學系)
Watson Kuo ( Department of Physics, National Chung Hsing University )/
褚志崧 (國立清華大學物理學系)
Chih-Sung Chuu ( Department of Physics, National Tsing Hua University)/
周忠憲(國立成功大學物理系)
Chung-Hsien Chou ( Department of Physics, National Cheng Kung University )/
陳泳帆(國立成功大學物理學系)
Yong-Fan Chen ( Department of Physics, National Cheng Kung University )/
鄭王曜 (國立中央大學物理學系)
Wang-Yau Cheng ( Department of Physics, National Central University) | Recently, the researches on quantum technology, including quantum computer and quantum communication ...etc, have drawn significant attentions. European Union, China, US and many other countries have invested significant amount of budget in this field. IBM, Google, Alibaba and many important companies have involved in the contest of developing a quantum computer. Ministry of Science and Technology (MOST) of Taiwan also emphasized such a research topic since 2018. Since then, MOST and Ministry of Education have funded a project on Center of Quantum Technology in NTHU and MOST also funded three quantum computer projects and one cooperation project with IBM to use their online quantum computer to emphasize the education and research on quantum algorithm and software. Therefore, there are five big projects related to this research field in Taiwan. To promote the discussion on this research field and to allow Taiwan's physics community to know more about the goal, contents and status of these big projects, we invite the project leaders to give an invited talks in this Topical Symposia. |
| 3 | 新興能源科學
Emerging Energy Science(EES) | O2:2/6 9:00~10:30
O3:2/6 13:30~15:00 | W310 | 董崇禮 (淡江大學物理學系)
Chung-Li Dong ( Department of Physics, Tamkang University )/
林彥谷 (國家同步輻射研究中心)
Yan-Gu Lin ( National Synchrotron Radiation Research Center ) | The planet earth is currently experiencing extreme climatic conditions and severe shortages of resources. There is a need for the country to ride the wave of energy transition and grasp the opportunities presented by green energy technologies. It is urgent to comply with the greenhouse gas reduction ratified in the Paris Agreement (COP21). However, the global carbon dioxide concentration measured at the Mauna Loa Observatory this year, reached 415 ppm, a record high. Green and low-carbon energy will play a key role in achieving Carbon Cycle 2.0 and lead us to the third industrial revolution. Currently, energy self-sufficiency is less than 2% in Taiwan, more than 98% still rely on imports (especially for petrochemical sources). How to achieve 20% of renewable energy usage in 2025 planned by the Taiwan government depends on the integration of frontier scientific research and cutting-edge technology development from various disciplines. This forum “Emerging Energy Science” will encompass advanced functional materials for solar hydrogen energy, artificial photosynthesis, energy storage batteries/supercapacitors, energy saving windows, efficient nanocatalysis, etc. Through the exchanges among multiple parties, integrating cross-disciplinary knowledge (including nanoscience, semiconductor, and electro-optics/optoelectronics), we hope to accelerate local research on energy technologies, and early realization of government`s goal to development of sustainable and renewable energy. |
| 4 | 量子多體物理系統的數值方法：機器學習與物理
Numerical Methods for Quantum Manybody Systems: Machine Learning and Physics(NM) | O3:2/6 13:30~14:00
O4:2/6 17:00~18:00 | W203 | 高英哲 (國立臺灣大學物理學系)
Ying-Jer Kao ( Department of Physics, National Taiwan University )/
林及仁 (國立交通大學物理研究所)
David Lin ( Institute of Physics, National Chiao Tung University )/
林瑜琤 (國立政治大學應用物理所)
Yu-Cheng Lin ( Graduate Institute of Applied Physics, National Chengchi University )/
陳柏中 (國立清華大學物理學系)
Po-Chung Chen ( Department of Physics, National Tsing Hua University) | Machine learning techniques are rapidly being adopted into the field of quantum many-body physics, including condensed matter theory, experiment, and quantum information science. Theoretical connections between deep learning, the renormalization group, and tensor networks have been actively explored recently. Many open questions at the interface of quantum physics and machine learning will be addressed in this symposium. |