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1 /*
2 [auto_generated]
3 libs/numeric/odeint/examples/molecular_dynamics.cpp
4
5 [begin_description]
6 Molecular dynamics example.
7 [end_description]
8
9 Copyright 2009-2012 Karsten Ahnert
10 Copyright 2009-2012 Mario Mulansky
11
12 Distributed under the Boost Software License, Version 1.0.
13 (See accompanying file LICENSE_1_0.txt or
14 copy at http://www.boost.org/LICENSE_1_0.txt)
15 */
16
17 #include <boost/numeric/odeint.hpp>
18
19 #include <vector>
20 #include <iostream>
21 #include <random>
22
23 using namespace boost::numeric::odeint;
24
25
26
27 using namespace std;
28 #define tab "\t"
29
30 const size_t n1 = 16;
31 const size_t n2 = 16;
32
33 struct md_system
34 {
35 static const size_t n = n1 * n2;
36 typedef std::vector< double > vector_type;
37
38 md_system( double a = 0.0 , // strength of harmonic oscillator
39 double gamma = 0.0 , // friction
40 double eps = 0.1 , // interaction strenght
41 double sigma = 1.0 , // interaction radius
42 double xmax = 150.0 , double ymax = 150.0 )
43 : m_a( a ) , m_gamma( gamma )
44 , m_eps( eps ) , m_sigma( sigma )
45 , m_xmax( xmax ) , m_ymax( ymax )
46 { }
47
48 static void init_vector_type( vector_type &x ) { x.resize( 2 * n ); }
49
50 void operator()( vector_type const& x , vector_type const& v , vector_type &a , double t ) const
51 {
52 for( size_t i=0 ; i<n ; ++i )
53 {
54 double diffx = x[i] - 0.5 * m_xmax , diffy = x[i+n] - 0.5 * m_ymax;
55 double r2 = diffx * diffx + diffy * diffy ;
56 double r = std::sqrt( r2 );
57 a[ i ] = - m_a * r * diffx - m_gamma * v[ i ] ;
58 a[ n + i ] = - m_a * r * diffy - m_gamma * v[ n + i ] ;
59 }
60
61 for( size_t i=0 ; i<n ; ++i )
62 {
63 double xi = x[i] , yi = x[n+i];
64 xi = periodic_bc( xi , m_xmax );
65 yi = periodic_bc( yi , m_ymax );
66 for( size_t j=0 ; j<i ; ++j )
67 {
68 double xj = x[j] , yj = x[n+j];
69 xj = periodic_bc( xj , m_xmax );
70 yj = periodic_bc( yj , m_ymax );
71
72 double diffx = ( xj - xi ) , diffy = ( yj - yi );
73 double r = sqrt( diffx * diffx + diffy * diffy );
74 double f = lennard_jones( r );
75 a[ i ] += diffx / r * f;
76 a[ n + i ] += diffy / r * f;
77 a[ j ] -= diffx / r * f;
78 a[ n + j ] -= diffy / r * f;
79 }
80 }
81 }
82
83 void bc( vector_type &x )
84 {
85 for( size_t i=0 ; i<n ; ++i )
86 {
87 x[ i ] = periodic_bc( x[ i ] , m_xmax );
88 x[ i + n ] = periodic_bc( x[ i + n ] , m_ymax );
89 }
90 }
91
92 inline double lennard_jones( double r ) const
93 {
94 double c = m_sigma / r;
95 double c3 = c * c * c;
96 double c6 = c3 * c3;
97 return 4.0 * m_eps * ( -12.0 * c6 * c6 / r + 6.0 * c6 / r );
98 }
99
100 static inline double periodic_bc( double x , double xmax )
101 {
102 return ( x < 0.0 ) ? x + xmax : ( x > xmax ) ? x - xmax : x ;
103 }
104
105 double m_a;
106 double m_gamma;
107 double m_eps ;
108 double m_sigma ;
109 double m_xmax , m_ymax;
110 };
111
112
113
114
115
116 int main( int argc , char *argv[] )
117 {
118 const size_t n = md_system::n;
119 typedef md_system::vector_type vector_type;
120
121
122 std::mt19937 rng;
123 std::normal_distribution<> dist( 0.0 , 1.0 );
124
125 vector_type x , v;
126 md_system::init_vector_type( x );
127 md_system::init_vector_type( v );
128
129 for( size_t i=0 ; i<n1 ; ++i )
130 {
131 for( size_t j=0 ; j<n2 ; ++j )
132 {
133 x[i*n2+j ] = 5.0 + i * 4.0 ;
134 x[i*n2+j+n] = 5.0 + j * 4.0 ;
135 v[i] = dist( rng ) ;
136 v[i+n] = dist( rng ) ;
137 }
138 }
139
140 velocity_verlet< vector_type > stepper;
141 const double dt = 0.025;
142 double t = 0.0;
143 md_system sys;
144 for( size_t oi=0 ; oi<100000 ; ++oi )
145 {
146 for( size_t ii=0 ; ii<100 ; ++ii,t+=dt )
147 stepper.do_step( sys , std::make_pair( std::ref( x ) , std::ref( v ) ) , t , dt );
148 sys.bc( x );
149
150 std::cout << "set size square" << "\n";
151 std::cout << "unset key" << "\n";
152 std::cout << "p [0:" << sys.m_xmax << "][0:" << sys.m_ymax << "] '-' pt 7 ps 0.5" << "\n";
153 for( size_t i=0 ; i<n ; ++i )
154 std::cout << x[i] << " " << x[i+n] << " " << v[i] << " " << v[i+n] << "\n";
155 std::cout << "e" << std::endl;
156 }
157
158
159 return 0;
160 }