Submission Deadline: 31 August 2025 View: 34 Submit to Special Issue
Prof. Chatchawal Wongchoosuk
Email: chatchawal.w@ku.th
Affiliation: Department of Physics, Faculty of Science, Kasetsart University, Bangkok, 10900, Thailand
Research Interests: 3D Printing, DFT; SCC-DFTB; Material Design; Sensor; Machine Learning
Prof. Sheng-Joue Young
Email: youngsj@nuu.edu.tw
Affiliation: Department of Electronic Engineering, National United University, Miaoli, 36063, Taiwan
Research Interests: Energy Technology; Solar Cell; Optoelectronic Devices; Physics of Semiconductor Devices; Nanomaterials Growth and Application; Vacuum Technology; Electrical Measurement Analysis
3D printing has revolutionized manufacturing, enabling the rapid prototyping and production of complex structures across industries. However, the next generation of 3D printing technologies demands innovation in materials and computational methodologies to meet the increasing complexity, precision, and sustainability requirements. Advances in smart materials, multi-functional composites, and bio-compatible substances combined with AI-driven design and simulation techniques are poised to redefine the capabilities of 3D printing. This Special Issue focuses on breakthroughs in materials and computational strategies that advance 3D printing technologies. It seeks to gather contributions from researchers, engineers, and practitioners to address challenges, share novel solutions, and highlight future directions in additive manufacturing. The issue aims to bridge material science, computational modeling, and real-world applications, promoting interdisciplinary innovation.
This Special Issue welcomes original research and review articles highlighting the latest advancements in 3D printing aiming to inspire the next wave of innovation. Suggested themes include, but are not limited to:
- Advanced materials for 3D printing: smart polymers, ceramics, nanomaterials and composites.
- Sustainable and bio-compatible materials for medical and environmental applications.
- Computational design methodologies and materials: AI, machine learning, DFT, MD simulation, SCC-DFTB etc.
- Innovations in multi-material and multi-scale 3D printing processes.
- Simulation and predictive modeling in additive manufacturing.
- Industrial applications: aerospace, healthcare, food safety, agriculture and energy.
- Challenges and future perspectives in 3D printing technologies.