Special Symposium CB
Big Data Enhanced Technology for Ceramic Advancements

Jingyang WANG, Institute of Metal Research, CAS, China

Wai-Yim CHING, University of Missouri, USA
Paolo COLOMBO, Università di Padova, Italy
Hua-Tay LIN, Guangdong University of Technology, China
Alexander MICHAELIS, Fraunhofer Institute for Ceramic Technologies and Systems, Germany
Tatsuki OHJI, AIST, Japan
Ivar REIMANIS, Colorado School of Mines, USA
Sudipta SEAL, University of Central Florida, USA
Dileep SINGH, Argonne National Laboratory, USA
Isao TANAKA, Kyoto University, Japan
Wai-Yim CHING, University of Missouri, Kansas City, USA
Shaoming DONG, Shanghai Institute of Ceramics, CAS, China
Chang-Chun GE, University of Science and Technology Beijing, China
Bin LIU, Shanghai University, China
Jian LUO, University of California, San Diego, USA
Isao TANAKA, Kyoto University, Japan
Veena TIKARE, Sandia National Laboratories, USA
Gerard L. VIGNOLES, University of Bordeaux, France
William John WEBER, University of Tennessee, USA
Christian WUNDERLICH, Fraunhofer IKTS, Germany
A Special Symposium promoted by

World Academy of Ceramics

The traditional way of innovations and development in materials field are human-centred, where scientists and engineers design, conduct, analyse and interpret results obtained   through simulations, experiments, or literature review. Such results are often high-dimensional, huge in number and heterogeneous in nature, which hinders researcher’s capability to draw insight from extensive information. As we approach the new era of explosive generation of big data and creative concept of artificial intelligence and machine learning, we may envisage a completely different paradigm for generating knowledge and advancing technology. Machine-aided innovation will accelerate important leaps towards better and more affordable solutions for the sustainable development of human society. Big data enhanced emerging technologies would be able to pioneer the new paradigm to discover truth beyond information and generate knowledge.
This Special Symposium would address virtual materials design, integration of information technology and the next-generation manufacturing. The technical program will identify key challenges and opportunities for big data enhanced  technologies in accelerating  materials innovation and creating sustainable development. Some of the key topics which will be covered are high throughput materials design and characterization, big data, materials genome and informatics, machine learning, artificial intelligence aided smart manufacturing, and other information enhanced emerging technologies for sustainable advancements of ceramic materials. The program will provide a flavor of knowledge sharing and brainstorming and generate important discussion on what the ceramic community is heading the challenges of sustainable development and Industry 4.0.
Session Topics

CB-1 Virtual Materials Design and Evaluation

CB-2 High-throughput Characterization and Testing

CB-3 Big Data Methodologies and Integration of Information Technology

CB-4 Machine Learning and Artificial Intelligence

CB-5 Next Generation Smart Manufacturing

CB-6 Big Data and Sustainable Societal Development

Focused Session CB-7
Quantification of Microstructures using Data Analysis and Machine Learning Methods


Cimtec 2021

Copyright © Techna Group S.r.l.
C.F.-P.I. 03368230409
Privacy Policy - Cookie Policy - Software Commercio Elettronico by Pianetaitalia.com