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Computational physics: a perspective
1Department of Physics and Astronomy, University College London, Gower Street, London WC1E 6BT, UK.
Summary
Computing is crucial for scientific research, encompassing hardware, software, and their application. Defining computable problems and validating results are key challenges in integrating computing with traditional science.
Area of Science:
- * Interdisciplinary field bridging computer science and scientific research methodologies.
Background:
- * Computing's evolution involves hardware, software, and their real-world applications.
- * Research computing extends beyond coding to problem definition and result validation.
Purpose of the Study:
- * To explore the complex interplay between scientific needs and computing advancements.
- * To examine the challenges in defining computable problems and validating scientific results derived from computing.
Main Methods:
- * Analysis of the interdependence between scientific developments and information/computer technologies.
- * Investigation into how scientific and technological needs drive innovation in computing.
- * Comparative assessment of computing's acceptance in engineering versus materials science.
Main Results:
- * Scientific advancements significantly influence computing hardware and software.
- * Computing transforms scientific research practices and information accessibility.
- * Credibility gaps persist in predictive modeling for materials science compared to engineering.
Conclusions:
- * The integration of computing into science presents complex, unpredictable, and powerful dynamics.
- * Understanding the co-evolution of science and computing is essential for future innovation.
- * Addressing credibility challenges is vital for broader adoption of computational methods in scientific discovery.