Inverse Problems in Physics
Inverse Problems in Physics involve determining unknown system parameters or causes from observed data. Unlike forward problems, where outcomes are predicted from known models, inverse problems infer models from measurements. Examples include reconstructing material properties, imaging internal structures, and identifying source distributions. Inverse problems are often ill-posed, meaning solutions may be non-unique or sensitive to noise. Regularization techniques and statistical methods are used to obtain stable solutions. In physics, inverse problems arise in tomography, spectroscopy, and geophysics. Solving inverse problems requires combining physics models with optimization and data analysis. This field is critical for experimental interpretation and diagnostic applications. Inverse problems connect theory, computation, and experiment in modern physics.
Ephraim Suhir
Portland State University, United States
Alexander Unzicker
Pestalozzi Gymnasium Munchen, Germany
Paulo Cesar De Morais
University of Brasilia, Brazil
Thomas J Webster
Brown University, United States
Jon H Brasher
Stelleo Scientific Foundation, United States
Tom Lawrence
Ronin Institute of Independent Scholarship 2.0, United Kingdom
Wenjie Liu
University of Oxford, United KingdomSubmit your abstract Today
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