'Semi empirical mass formula' diaporamas de présentation

Machine Science Distilling Free-Form Natural Laws from Experimental Data

Machine Science Distilling Free-Form Natural Laws from Experimental Data. Hod Lipson, Cornell University. Lipson & Pollack, Nature 406, 2000. Camera View. Camera. Crossing The Reality Gap. Adapting in simulation. Simulator. Evolve Controller In Simulation. Download. Try it in reality!.

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Lecture 2

Lecture 2. The Semi Empirical Mass Formula SEMF. 2.0 Overview. 2.1 The liquid drop model 2.2 The Coulomb Term 2.3 Mirror nuclei, charge asymmetry and independence 2.4 The Volume and Surface Terms 2.5 The asymmetry term 2.6 The pairing term 2.7 The SEMF. 2.0 Introduction to the SEMF.

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Ian Bentley

216 views • 6 slides

Ian Bentley

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Overview of Lectures (I)

Overview of Lectures (I). Introduction Fri. Week 1, Lindemann (L) Why do we study Nuclear Physics What will this course cover Shape and density of the nuclei 2. The Semi Empirical Mass Formula (SEMF) Thu. Week 2, Martin Wood (MW) The liquid drop model The Fermi Gas Model

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