Computational physics and scientific instrumentation have developed into deeply interconnected pillars of modern science. Advances in numerical modeling, high-performance computing, and data analytics have transformed how scientific instruments are designed, calibrated, and operated. Conversely, increasingly sophisticated instruments generate massive datasets that demand advanced computational frameworks for interpretation. This paper explores the theoretical foundations of computational physics, its integration into scientific instrumentation, and the bidirectional feedback between simulation and measurement. Case studies from particle physics, astronomy, and nanoscience illustrate how computational modelling enhances experimental precision and efficiency. Finally, emerging trends in artificial intelligence and digital twin technologies are discussed as the next frontier in computationally enhanced instrumentation.
Mule et al. (2026) studied this question.
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