Advances in artificial intelligence (AI) have the potential to improve materials design and manufacturing processes. Material scientists and engineers need to discover, develop and manufacture advanced materials at least twice as fast as possible today, at a fraction of the cost. The initiative is enabling advances in scientific theory, modeling, simulation, high performance computing, algorithms, software, data analysis, and experimental techniques, all of which are merging to create the ability to design and engineer materials and systems more rapidly and at lower cost than traditional approaches. Advances in research techniques, high performance computing, and the increasing availability of materials data is enabling significant progress in the design of innovative materials. Examples of material innovations include new, more efficient permanent magnets, metals and alloys designed for additive manufacturing.
The purpose of the AIMM symposium is to promote research in artificial intelligence (AI) and scientific exchange among AI researchers, practitioners, scientists, and engineers in affiliated disciplines. This symposium will address deep learning, machine learning, data-driven materials discovery, basic models and experiment integrated with artificial intelligence, applications of AI in powder manufacturing process and other processes. Highly qualified specialists related artificial intelligence in materials and manufacturing will gather for discussions that provide new information on technical progress in this symposium.
- Applications of AI in materials design and manufacturing processing
- Deep learning for materials and manufacturing innovations
- Machine learning in manufacturing
- Data-driven materials discovery
- Models for sustainable data and databases
- Basic models and experiment Integrated with AI
- Applications of AI in powder manufacturing process
- Dr. Ryan Ott’s (Ames, USA)
- Prof. Hong-Joo Rhee (Mississippi State University, USA)
Hwi-Jun Kim
Korea Institute of Industrial Technology, Research Institute of Advanced Manufacturing & Materials Technology, Incheon, Republic of Korea
Tel 82-32-850-0406, Fax 82-32-850-0390
khj@kitech.re.kr
Archives of Metallurgy and Materials |
ISSN:1733-3490(Print) ISSN:2300-1909(Online) |
SCIE (I.F. 0.487) |