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Astrochemical Modeling

Om Astrochemical Modeling

Astrochemical Modelling: Practical Aspects of Microphysics in Numerical Simulations is a comprehensive and detailed guide to dealing with the standard problems that students and researchers face when they need to take into account astrochemistry in their models, including building chemical networks, determining the relevant processes, and understanding the theoretical challenges and the numerical limitations. The book provides chapters covering the theoretical background on the predominant areas of astrochemistry, with each chapter following theoretical background with information on existing databases, step-by-step computational examples with solutions to recurrent problems, and an overview of the different processes and their numerical implementation. Furthermore, a section on case studies provides concrete examples of computational modelling usage for real-world applications and cases where the techniques can be applied is also included.

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  • Språk:
  • Okänt
  • ISBN:
  • 9780323917469
  • Format:
  • Häftad
  • Sidor:
  • 432
  • Utgiven:
  • 24. november 2023
  • Mått:
  • 237x25x191 mm.
  • Vikt:
  • 882 g.
  I lager
Leveranstid: 4-7 vardagar
Förväntad leverans: 13. december 2024
Förlängd ångerrätt till 31. januari 2025

Beskrivning av Astrochemical Modeling

Astrochemical Modelling: Practical Aspects of Microphysics in Numerical Simulations is a comprehensive and detailed guide to dealing with the standard problems that students and researchers face when they need to take into account astrochemistry in their models, including building chemical networks, determining the relevant processes, and understanding the theoretical challenges and the numerical limitations. The book provides chapters covering the theoretical background on the predominant areas of astrochemistry, with each chapter following theoretical background with information on existing databases, step-by-step computational examples with solutions to recurrent problems, and an overview of the different processes and their numerical implementation. Furthermore, a section on case studies provides concrete examples of computational modelling usage for real-world applications and cases where the techniques can be applied is also included.

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