Three students of the Department of Metallurgical and Materials Engineering (DTMM) of the Faculty of Engineering (FT) of Universitas Indonesia (UI), Yossi Andreano and Anggit Driasaditya (batch 2020); as well as Rio Sudwitama Persadanta Kaban (batch 2021), presented their research at the prestigious international event, Dynamics Days Asia Pacific (DDAP) 13 held as part of long-term workshop Frontiers in Non-equilibrium Physics 2024. This event was held at the Yukawa Institute for Theoretical Physics (YITP), Kyoto University, Japan, on July 1-5, 2024. They received guidance from DTMM FTUI lecturer, Dr. Ir. Jaka Fajar Fatriansyah, M.Sc., IPM, ASEAN ENG.
The three managed to get past a strict selection phase after going through several processes, starting from registration through the official website of DDAP 13 to having the materials reviewed by experts in the fields to ensure their suitability to the scope of the event. The result was announced through email and the official website of DDAP 13. This achievement is a recognition of the dedication and quality of research they have conducted.
The Dean of FTUI, Prof. Dr. Ir. Heri Hermansyah, S.T., M.Eng., IPU, said, “The DDAP 13 host, Yukawa Institute for Theoretical Physics (YITP), is a prestigious institute dedicated to Japan’s first Nobel winner, Hideki Yukawa. A number of participants from this workshop are also known as Nobel and other prestigious international awards winners. The involvement of FTUI students in this prestigious event not only brings the good name of the Faculty of Engineering and the University of Indonesia to the global stage, but also becomes a forum for students to expand their insights and international networks.”
In this opportunity, three students brought out one of DDAP 13 topics, namely machine learning. Machine learning is a branch of artificial intelligence that allows computers to learn from data and make predictions or judgments without being programmed explicitly. Yossi Andreano presented his research on the prediction of mechanical, electrical, and thermal properties of copper alloys based on composition and processing using machine learning. Anggit Driasaditya discussed the utilization of machine learning to predict the docking score of Quinazoline derivatives as a Hepatitis B virus inhibitor. Rio Sudwitama explained the prediction of tensile strength, hardness, and melting point of nickel-based and iron-nickel superalloy alloys based on composition using machine learning.
“This conference also provides a chance to collaborate across disciplines. Discussions held not only deepened understanding of physics and materials engineering, but also integrated machine learning concepts into the context of practical applications. We obtained a deeper insight on how technology can be applied in the latest research in the field of materials science,” said Yossi.
Anggit added that the opportunity he got from this activity increased his motivation in realizing the importance of physics as one of the main aspects of the development of materials science. “Speakers from various universities provide diverse perspectives, adding value to each presentation session we attend. This motivates us to develop new ideas and apply the knowledge we gain to advance our research in the future,” said Anggit.
Dynamics Days is an international conference started in 1980 with a focus on theories and applications of nonlinear dynamics. This conference has been held routinely in Europe, the United States, Asia Pacific, Latin America and the Caribbean, and Central Asia. Dynamic Days Asia Pasifik started in Hong Kong in 1999, then moved to Hangzhou (2002), Singapore (2004), Pohang (2006), Nara (2008), Sydney (2010), Taipei (2012), Chennai (2014), Hong Kong (2016), Xiamen (2018), Singapore (2020), South Korea (2022), and this year at YITP, Kyoto University, Japan. YITP’s position as a world-class center for theoretical physics was recently reaffirmed when its former director, Toshihide Maskawa, was awarded the 2008 Nobel Prize in Physics.
DDAP focuses on nonlinear dynamics, and this year, DDAP covers several topics, namely non-equilibrium systems, quantum systems, condensed matter, photonics, biotechnology, climate, and machine learning. This conference invites expert speakers from leading universities in Asia such as the National University of Singapore, Tohoku University, and Peking University.
