Preface
In the spirit of fostering global collaboration and advancing scientific research, the 2024 8 th International Conference on Mechanics, Mathematics and Applied Physics (ICMMAP 2024) was successfully held in Dalian, China, from November 22 nd to 24 th , 2024. Organized by Dalian Jiaotong University, this event gathers renowned experts, scholars, engineers, and researchers worldwide to discuss the latest advancements and future trends in mechanics, mathematics, and applied physics. The purpose of ICMMAP 2024 is multifaceted. Firstly, it aims to provide a platform for professionals in related fields to share their groundbreaking research, fostering international exchanges and cooperation. Secondly, the conference serves as a catalyst for innovation, encouraging the exploration of new ideas and technologies that can push the boundaries of existing knowledge. Lastly, it attempts to promote the industrialization of academic achievements, facilitating the translation of theoretical research into practical applications. Over the course of three days, the conference features a diverse array of activities, including keynote speeches, academic presentations, technical seminars, and free discussions. These sessions covered a wide range of topics within mechanics, such as applied mechanics, analytical mechanics, and fluid mechanics; in mathematics, topics ranged from linear algebra, matrix theory, vector analysis to probability theory, mathematical statistics, and applied mathematics; and in applied physics, discussions encompassed condensed matter physics, acoustics, electronics, and quantum information science. The comprehensive scope of the conference ensures that participants had ample opportunities for in-depth exchanges and collaborations. List of Committee Member available in this Pdf.
Publication Details
- Journal
- Journal of Physics Conference Series
- Published
- 2025-02-01
- DOI
- https://doi.org/10.1088/1742-6596/2964/1/011001
- Primary Topic
- Model Reduction and Neural Networks
- Type
- article
- Field-Weighted Citation Impact
- 0.00