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OUR JOURNALS

International Journal of Bioprinting is an international journal covering the
technology, science and clinical application of the broadly defined field of
Bioprinting. Bioprinting is defined as the use of 3D printing technology with
materials that incorporate viable living cells or biological elements to
produce tissue or biotechnological products. We are interested in the
scientific topics spanning all stages of bioprinting process from concept
creation to fabrication and beyond. Knowledge generated in these researches
must be related to bioprinting. IJB covers subject areas, including but not
limited to the following:
• Information technologies and basic research
• Materials and formulation
• Cell source and biotechnology for additive manufacturing
• 3D Bioprinting technologies
• New design and fabrication paradigm
• Applied research purpose & evaluation of 3D printed products
• Associated social implications

International Journal of AI for Materials and Design is an international, peer-
reviewed open-access journal that aims to bridge the cutting-edge research
between AI and materials, AI and design. In recent years, the tremendous
progress in AI is leading a radical shift of AI research from a mainly academic
endeavor to a much broader field with increasing industrial and governmental
investments. The maturation of AI technology brings about a step change in the
scientific research of various domains, especially in the world of materials and
design. Machine learning (ML) algorithms enable researchers to analyze
extensive datasets on material properties and accurately predict their behavior in
different conditions. This subsequently impact the industry to leverage on big
data and advanced analytics to build scientific strategies, scale operational
performance of processes and drive innovation. In addition, AI and ML are
uniquely positioned to enable advanced manufacturing technologies across the
value chain of different industries. Integration of multiple and complementary
AI techniques, such as ML, search, reasoning, planning, and knowledge
representation, will further accelerate advances in scientific discoveries,
engineering excellence and the future of cyber-physical systems manufacturing.

International Journal of AI for Materials and Design covers the following
topics: AI or machine learning for material discovery, AI for process
optimization, AI and data-driven approaches for product or systems design,
application of AI in advanced manufacturing processes such as additive
manufacturing, IoT, sensors, robotics, cloud-based manufacturing, intelligent
manufacturing for various applications, autonomous experiments, material
intelligence, energy intelligence, and AI-linked decarbonization technologies.

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