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The Middle Science: Traversing Scale In Complex Many-Body Systems.
Aurora E Clark1, Henry Adams2, Rigoberto Hernandez3
1Department of Chemistry, Washington State University, Pullman, Washington 99163, United States.
This study introduces a roadmap integrating simulation and data science for many-body phenomena. It aims to develop new theories across multiple scales.
Area of Science:
- Computational Physics
- Data Science
- Theoretical Physics
Background:
- Many-body phenomena present complex challenges due to their intricate interactions across diverse length and time scales.
- Existing methodologies often struggle to capture the full spectrum of behaviors inherent in these systems.
Discussion:
- This work proposes a novel roadmap that synergistically combines advanced simulation techniques with cutting-edge data science methods.
- The integration aims to overcome the limitations of traditional approaches in modeling complex many-body systems.
Key Insights:
- The developed roadmap facilitates the exploration of new theoretical frameworks for understanding phenomena across multiple scales.
- It enables a more comprehensive analysis of complex systems by leveraging the strengths of both simulation and data-driven approaches.
Outlook:
- This integrated approach holds significant potential for advancing the study of condensed matter physics, quantum mechanics, and materials science.
- Future research can build upon this roadmap to uncover novel physical principles and design advanced materials.
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