News and Announcements
Column
With the rapid development of different disciplines, we have set up Column to deeply explore, comprehensively report, and focus on highly innovative and highly academically valuable scientific research results in the research fields covered by each journal. Column brings together the best topics selected by the Editor-in-Chief’s and Editorial Board’s teams based on the future academic trends and the latest research hotspots of different disciplines around the world to publish high-quality scientific research and academic results after soliciting contributions and rigorous peer review.
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Digital Twins for Materials and Systems
Summary: Digital twins are revolutionizing the way that we approach innovation and optimize the performance of complex physical machines, devices, and components. Digital twins offer unparalleled insight into its form and function over time and across dimensions by providing a precise virtual replica of a physical object with real-time input.
With the complex multiscale systems and unique structural details, materials can be accurately represented in a digital twin. This virtual model captures not only the details of the material's composition at different scales but also its response to external factors. A holistic view of how materials behave in real-world scenarios can be provided by digital twins, considering both process history and in-service environment.
However, the development of the digital twin concept in systems design remains a challenge. Further research is needed to realize new values of digital twins in enhancing operational efficiency, achieving multi-field optimization, and enabling effective design of different materials and engineering systems.
Looking into the future, AI-enabled digital twins will further revolutionize the future of industrial and scientific solutions.
Release date: 2024
Artificial Intelligence Applications in Additive Manufacturing
Summary: Artificial intelligence (AI) is often linked to machine learning, neural networks, machine vision or even automation. The premise of AI is that the machine can solve a given problem by itself, with minimal human intervention, based on data and previous experiences. Additive manufacturing (AM), as defined by the ISO/ASTM standards, is a group of manufacturing techniques that fabricate parts from 3D model data, usually layer upon layer as opposed to subtractive and formative manufacturing methodologies. Due to the digital thread in AM, they are inherently suited to be integrated with Al, from the pre-process to the actual 3D printing and finally, the post-processing.
Release date: 2023