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			161 lines
		
	
	
		
			4.4 KiB
		
	
	
	
		
			C++
		
	
	
	
	
	
		
		
			
		
	
	
			161 lines
		
	
	
		
			4.4 KiB
		
	
	
	
		
			C++
		
	
	
	
	
	
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								/*
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								 [auto_generated]
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								 libs/numeric/odeint/examples/molecular_dynamics.cpp
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								 [begin_description]
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								 Molecular dynamics example.
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								 [end_description]
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								 Copyright 2009-2012 Karsten Ahnert
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								 Copyright 2009-2012 Mario Mulansky
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								 Distributed under the Boost Software License, Version 1.0.
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								 (See accompanying file LICENSE_1_0.txt or
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								 copy at http://www.boost.org/LICENSE_1_0.txt)
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								 */
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								#include <boost/numeric/odeint.hpp>
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								#include <vector>
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								#include <iostream>
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								#include <random>
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								using namespace boost::numeric::odeint;
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								using namespace std;
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								#define tab "\t"
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								const size_t n1 = 16;
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								const size_t n2 = 16;
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								struct md_system
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								{
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								    static const size_t n = n1 * n2;
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								    typedef std::vector< double > vector_type;
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								    md_system( double a = 0.0 ,            // strength of harmonic oscillator
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								               double gamma = 0.0   ,       // friction
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								               double eps = 0.1 ,          // interaction strenght
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								               double sigma = 1.0 ,            // interaction radius
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								               double xmax = 150.0 , double ymax = 150.0 )
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								    : m_a( a ) , m_gamma( gamma ) 
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								    , m_eps( eps ) , m_sigma( sigma ) 
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								    , m_xmax( xmax ) , m_ymax( ymax )
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								    { }
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								    static void init_vector_type( vector_type &x ) { x.resize( 2 * n ); }
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								    void operator()( vector_type const& x , vector_type const& v , vector_type &a , double t ) const
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								    {
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								        for( size_t i=0 ; i<n ; ++i )
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								        {
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								            double diffx = x[i] - 0.5 * m_xmax , diffy = x[i+n] - 0.5 * m_ymax;
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								            double r2 = diffx * diffx + diffy * diffy ;
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								            double r = std::sqrt( r2 );
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								            a[     i ] = - m_a * r * diffx - m_gamma * v[     i ] ;
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								            a[ n + i ] = - m_a * r * diffy - m_gamma * v[ n + i ] ;
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								        }
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								        for( size_t i=0 ; i<n ; ++i )
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								        {
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								            double xi = x[i] , yi = x[n+i];
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								            xi = periodic_bc( xi , m_xmax );
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								            yi = periodic_bc( yi , m_ymax );
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								            for( size_t j=0 ; j<i ; ++j )
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								            {
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								                double xj = x[j] , yj = x[n+j];
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								                xj = periodic_bc( xj , m_xmax );
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								                yj = periodic_bc( yj , m_ymax );
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								                double diffx = ( xj - xi ) , diffy = ( yj - yi );
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								                double r = sqrt( diffx * diffx + diffy * diffy );
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								                double f = lennard_jones( r );
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								                a[     i ] += diffx / r * f;
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								                a[ n + i ] += diffy / r * f;
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								                a[     j ] -= diffx / r * f;
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								                a[ n + j ] -= diffy / r * f;
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								            }
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								        }
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								    }
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								    void bc( vector_type &x )
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								    {
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								        for( size_t i=0 ; i<n ; ++i )
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								        {
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								            x[ i     ] = periodic_bc( x[ i     ] , m_xmax );
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								            x[ i + n ] = periodic_bc( x[ i + n ] , m_ymax );
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								        }
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								    }
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								    inline double lennard_jones( double r ) const
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								    {
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								        double c = m_sigma / r;
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								        double c3 = c * c * c;
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								        double c6 = c3 * c3;
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								        return 4.0 * m_eps * ( -12.0 * c6 * c6 / r + 6.0 * c6 / r );
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								    }
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								    static inline double periodic_bc( double x , double xmax )
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								    {
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								        return ( x < 0.0 ) ? x + xmax : ( x > xmax ) ? x - xmax : x ;
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								    }
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								    double m_a;
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								    double m_gamma;
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								    double m_eps ;
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								    double m_sigma ;
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								    double m_xmax , m_ymax;
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								};
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								int main( int argc , char *argv[] )
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								{
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								    const size_t n = md_system::n;
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								    typedef md_system::vector_type vector_type;
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								    std::mt19937 rng;
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								    std::normal_distribution<> dist( 0.0 , 1.0 );
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								    vector_type x , v;
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								    md_system::init_vector_type( x );
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								    md_system::init_vector_type( v );
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								    for( size_t i=0 ; i<n1 ; ++i )
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								    {
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								        for( size_t j=0 ; j<n2 ; ++j )
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								        {
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								            x[i*n2+j  ] = 5.0 + i * 4.0 ;
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								            x[i*n2+j+n] = 5.0 + j * 4.0 ;
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								            v[i]   = dist( rng ) ;
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								            v[i+n] = dist( rng ) ;
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								        }
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								    }
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								    velocity_verlet< vector_type > stepper;
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								    const double dt = 0.025;
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								    double t = 0.0;
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								    md_system sys;
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								    for( size_t oi=0 ; oi<100000 ; ++oi )
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								    {
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								        for( size_t ii=0 ; ii<100 ; ++ii,t+=dt )
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								            stepper.do_step( sys , std::make_pair( std::ref( x ) , std::ref( v ) ) , t , dt );
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								        sys.bc( x );
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								        std::cout << "set size square" << "\n";
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								        std::cout << "unset key" << "\n";
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								        std::cout << "p [0:" << sys.m_xmax << "][0:" << sys.m_ymax << "] '-' pt 7 ps 0.5" << "\n";
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								        for( size_t i=0 ; i<n ; ++i )
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								            std::cout << x[i] << " " << x[i+n] << " " << v[i] << " " << v[i+n] << "\n";
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								        std::cout << "e" << std::endl;
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								    }
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								    return 0;
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								}
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