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Materials inspired by mathematics
1WPI-Advanced Institute for Materials Research (WPI-AIMR), Tohoku University, Sendai, Japan; Mathematical Institute, Graduate School of Science, Tohoku University, Sendai, Japan.
Science and Technology of Advanced Materials
|November 24, 2016
Summary
Data-driven materials design merges physical and digital knowledge. Establishing a common language between these realms is key for advancing materials science in the digital era.
Area of Science:
- Materials Science
- Computational Science
- Digital Transformation
Background:
- The physical and digital worlds are increasingly interconnected.
- Rapid advancements in computing and information science are reshaping scientific disciplines.
- Traditional materials science relies on physical world know-how and recipes.
Purpose of the Study:
- To explore the evolution of materials science in the context of digital integration.
- To identify emerging directions at the intersection of materials science and mathematics.
- To address the challenge of translating physical materials knowledge into digital formats.
Main Methods:
- Conceptual analysis of the integration of physical and digital paradigms in materials science.
- Exploration of the role of mathematical sciences (statistics, probability theory) in data-driven approaches.
- Discussion on developing a standardized 'vocabulary and grammar' for digital material representation.
Main Results:
- The rise of 'data-driven materials design' as a significant trend.
- Identification of the critical need for effective translation between physical and digital knowledge.
- Emerging directions in materials science driven by computational and mathematical advancements.
Conclusions:
- Materials science is evolving towards a data-driven paradigm.
- Successful integration requires bridging the gap between physical expertise and digital language.
- Future advancements lie in leveraging computational and mathematical tools for material innovation.
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