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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.

ACS Central Science

|September 2, 2021

Summary

This study introduces a roadmap integrating simulation and data science for many-body phenomena. It aims to develop new theories across multiple scales.

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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.