Computer Physics
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In this book, the authors present topical research from across the globe in the study of computer physics, including multidimensional experimental data processing in nuclear physics; solving the vibrational Schrodinger equation using a combined neural network collocation approach; the numerical solution of non-linear partial differential equations using symplectic geometric integrators and grid computing multiple shooting algorithms for extended phase space sampling and long time propagation in molecular dynamics.
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Bol Partner
In this book, the authors present topical research from across the globe in the study of computer physics, including multidimensional experimental data processing in nuclear physics; solving the vibrational Schrodinger equation using a combined neural network collocation approach; the numerical solution of non-linear partial differential equations using symplectic geometric integrators and grid computing multiple shooting algorithms for extended phase space sampling and long time propagation in molecular dynamics.
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In this book, the authors present topical research from across the globe in the study of computer physics, including multidimensional experimental data processing in nuclear physics; solving the vibrational Schrodinger equation using a combined neural network collocation approach; the numerical solution of non-linear partial differential equations using symplectic geometric integrators and grid computing multiple shooting algorithms for extended phase space sampling and long time propagation in molecular dynamics.
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