Guest Editors
Dr. Deepak Chhabra
Email: deepak.chhabra@mdurohtak.ac.in
Affiliation: Department of Mechanical Engineering, University Institute of Engineering and Technology, Maharshi Dayanand University, Rohtak, India
Homepage:
Research Interests: additive manufacturing, material Science, machine learning and optimisation
Summary
Advanced and additive manufacturing enable unprecedented control over the internal architecture of materials, leading to novel multi-scale designs that exhibit exceptional mechanical and multifunctional properties. These architected materials—with tailored periodic structures and porosity—are revolutionizing applications in aerospace, robotics, automotive, and civil engineering.
This special issue highlights the central role of computational materials science in accelerating the discovery, design, and development of such advanced materials. We invite contributions that integrate modeling, simulation, and data-driven approaches to advance the understanding and innovation of architected material systems.
Key Topics Include:
· Computational Design & Optimization:Topology optimization, generative design, machine learning-aided material discovery.
· Multi-scale Modeling & Simulation:From atomistic and microstructural simulations to continuum-level predictions of mechanical, thermal, and dynamic behavior.
· Process Modeling for Additive Manufacturing:Simulations of printing processes, residual stress prediction, defect analysis, and microstructural evolution.
· Data-Driven Characterization & Inversion:Integration of experiments with models for parameter identification, validation, and material performance forecasting.
· Integrated Computational Frameworks:Closed-loop platforms combining design, simulation, manufacturing, and measurement for smart material systems.
Keywords
additive manufacturing; computational materials design; multi-scale simulation; topology optimization; metamaterials; multifunctional materials.
Login
Register
Submit a Paper
Propose a Special lssue