# include # include # include # include # include using namespace std; int main ( int argc, char *argv[] ); void compute ( int np, int nd, double pos[], double vel[], double mass, double f[], double &pot, double &kin ); double cpu_time ( ); double dist ( int nd, double r1[], double r2[], double dr[] ); void initialize ( int np, int nd, double pos[], double vel[], double acc[] ); void r8mat_uniform_ab ( int m, int n, double a, double b, int &seed, double r[] ); void timestamp ( ); void update ( int np, int nd, double pos[], double vel[], double f[], double acc[], double mass, double dt ); //****************************************************************************80 int main ( int argc, char *argv[] ) //****************************************************************************80 // // Purpose: // // MAIN is the main program for MD. // // Discussion: // // MD implements a simple molecular dynamics simulation. // // The velocity Verlet time integration scheme is used. // // The particles interact with a central pair potential. // // This program is based on a FORTRAN90 program by Bill Magro. // // Usage: // // md nd np step_num dt // // where // // * nd is the spatial dimension (2 or 3); // * np is the number of particles (500, for instance); // * step_num is the number of time steps (500, for instance). // * dt is the time step (0.1 for instance) // // Licensing: // // This code is distributed under the GNU LGPL license. // // Modified: // // 27 December 2014 // // Author: // // John Burkardt. // { double *acc; double ctime; double dt; double e0; double *force; double kinetic; double mass = 1.0; int nd; int np; double *pos; double potential; int step; int step_num; int step_print; int step_print_index; int step_print_num; double *vel; timestamp ( ); cout << "\n"; cout << "MD\n"; cout << " C++ version\n"; cout << " A molecular dynamics program.\n"; // // Get the spatial dimension. // if ( 1 < argc ) { nd = atoi ( argv[1] ); } else { cout << "\n"; cout << " Enter ND, the spatial dimension (2 or 3).\n"; cin >> nd; } // // Get the number of particles. // if ( 2 < argc ) { np = atoi ( argv[2] ); } else { cout << "\n"; cout << " Enter NP, the number of particles (500, for instance).\n"; cin >> np; } // // Get the number of time steps. // if ( 3 < argc ) { step_num = atoi ( argv[3] ); } else { cout << "\n"; cout << " Enter STEP_NUM, the number of time steps (500 or 1000, for instance).\n"; cin >> step_num; } // // Get the time step. // if ( 4 < argc ) { dt = atof ( argv[4] ); } else { cout << "\n"; cout << " Enter DT, the time step size (0.1, for instance).\n"; cin >> dt; } // // Report. // cout << "\n"; cout << " ND, the spatial dimension, is " << nd << "\n"; cout << " NP, the number of particles in the simulation is " << np << "\n"; cout << " STEP_NUM, the number of time steps, is " << step_num << "\n"; cout << " DT, the size of each time step, is " << dt << "\n"; // // Allocate memory. // acc = new double[nd*np]; force = new double[nd*np]; pos = new double[nd*np]; vel = new double[nd*np]; // // This is the main time stepping loop: // Compute forces and energies, // Update positions, velocities, accelerations. // cout << "\n"; cout << " At each step, we report the potential and kinetic energies.\n"; cout << " The sum of these energies should be a constant.\n"; cout << " As an accuracy check, we also print the relative error\n"; cout << " in the total energy.\n"; cout << "\n"; cout << " Step Potential Kinetic (P+K-E0)/E0\n"; cout << " Energy P Energy K Relative Energy Error\n"; cout << "\n"; step_print = 0; step_print_index = 0; step_print_num = 10; ctime = cpu_time ( ); for ( step = 0; step <= step_num; step++ ) { if ( step == 0 ) { initialize ( np, nd, pos, vel, acc ); } else { update ( np, nd, pos, vel, force, acc, mass, dt ); } compute ( np, nd, pos, vel, mass, force, potential, kinetic ); if ( step == 0 ) { e0 = potential + kinetic; } if ( step == step_print ) { cout << " " << setw(8) << step << " " << setw(14) << potential << " " << setw(14) << kinetic << " " << setw(14) << ( potential + kinetic - e0 ) / e0 << "\n"; step_print_index = step_print_index + 1; step_print = ( step_print_index * step_num ) / step_print_num; } } // // Report timing. // ctime = cpu_time ( ) - ctime; cout << "\n"; cout << " Elapsed cpu time " << ctime << " seconds.\n"; // // Free memory. // delete [] acc; delete [] force; delete [] pos; delete [] vel; // // Terminate. // cout << "\n"; cout << "MD\n"; cout << " Normal end of execution.\n"; cout << "\n"; timestamp ( ); return 0; } //****************************************************************************80 void compute ( int np, int nd, double pos[], double vel[], double mass, double f[], double &pot, double &kin ) //****************************************************************************80 // // Purpose: // // COMPUTE computes the forces and energies. // // Discussion: // // The computation of forces and energies is fully parallel. // // The potential function V(X) is a harmonic well which smoothly // saturates to a maximum value at PI/2: // // v(x) = ( sin ( min ( x, PI2 ) ) )**2 // // The derivative of the potential is: // // dv(x) = 2.0 * sin ( min ( x, PI2 ) ) * cos ( min ( x, PI2 ) ) // = sin ( 2.0 * min ( x, PI2 ) ) // // Licensing: // // This code is distributed under the GNU LGPL license. // // Modified: // // 15 July 2008 // // Author: // // John Burkardt. // // Parameters: // // Input, int NP, the number of particles. // // Input, int ND, the number of spatial dimensions. // // Input, double POS[ND*NP], the position of each particle. // // Input, double VEL[ND*NP], the velocity of each particle. // // Input, double MASS, the mass of each particle. // // Output, double F[ND*NP], the forces. // // Output, double &POT, the total potential energy. // // Output, double &KIN, the total kinetic energy. // { double d; double d2; int i; int j; int k; double PI2 = 3.141592653589793 / 2.0; double rij[3]; pot = 0.0; kin = 0.0; for ( k = 0; k < np; k++ ) { // // Compute the potential energy and forces. // for ( i = 0; i < nd; i++ ) { f[i+k*nd] = 0.0; } for ( j = 0; j < np; j++ ) { if ( k != j ) { d = dist ( nd, pos+k*nd, pos+j*nd, rij ); // // Attribute half of the potential energy to particle J. // if ( d < PI2 ) { d2 = d; } else { d2 = PI2; } pot = pot + 0.5 * pow ( sin ( d2 ), 2 ); for ( i = 0; i < nd; i++ ) { f[i+k*nd] = f[i+k*nd] - rij[i] * sin ( 2.0 * d2 ) / d; } } } // // Compute the kinetic energy. // for ( i = 0; i < nd; i++ ) { kin = kin + vel[i+k*nd] * vel[i+k*nd]; } } kin = kin * 0.5 * mass; return; } //****************************************************************************80 double cpu_time ( ) //****************************************************************************80 // // Purpose: // // CPU_TIME reports the elapsed CPU time. // // Licensing: // // This code is distributed under the GNU LGPL license. // // Modified: // // 27 September 2005 // // Author: // // John Burkardt // // Parameters: // // Output, double CPU_TIME, the current total elapsed CPU time in second. // { double value; value = ( double ) clock ( ) / ( double ) CLOCKS_PER_SEC; return value; } //****************************************************************************80 double dist ( int nd, double r1[], double r2[], double dr[] ) //****************************************************************************80 // // Purpose: // // DIST computes the displacement (and its norm) between two particles. // // Licensing: // // This code is distributed under the GNU LGPL license. // // Modified: // // 21 November 2007 // // Author: // // John Burkardt. // // Parameters: // // Input, int ND, the number of spatial dimensions. // // Input, double R1[ND], R2[ND], the positions. // // Output, double DR[ND], the displacement vector. // // Output, double D, the Euclidean norm of the displacement. // { double d; int i; d = 0.0; for ( i = 0; i < nd; i++ ) { dr[i] = r1[i] - r2[i]; d = d + dr[i] * dr[i]; } d = sqrt ( d ); return d; } //****************************************************************************80 void initialize ( int np, int nd, double pos[], double vel[], double acc[] ) //****************************************************************************80 // // Purpose: // // INITIALIZE initializes the positions, velocities, and accelerations. // // Licensing: // // This code is distributed under the GNU LGPL license. // // Modified: // // 26 December 2014 // // Author: // // John Burkardt // // Parameters: // // Input, int NP, the number of particles. // // Input, int ND, the number of spatial dimensions. // // Output, double POS[ND*NP], the positions. // // Output, double VEL[ND*NP], the velocities. // // Output, double ACC[ND*NP], the accelerations. // { int i; int j; int seed; // // Set the positions. // seed = 123456789; r8mat_uniform_ab ( nd, np, 0.0, 10.0, seed, pos ); // // Set the velocities. // for ( j = 0; j < np; j++ ) { for ( i = 0; i < nd; i++ ) { vel[i+j*nd] = 0.0; } } // // Set the accelerations. // for ( j = 0; j < np; j++ ) { for ( i = 0; i < nd; i++ ) { acc[i+j*nd] = 0.0; } } return; } //****************************************************************************80 void r8mat_uniform_ab ( int m, int n, double a, double b, int &seed, double r[] ) //****************************************************************************80 // // Purpose: // // R8MAT_UNIFORM_AB returns a scaled pseudorandom R8MAT. // // Discussion: // // An R8MAT is an array of R8's. // // This routine implements the recursion // // seed = ( 16807 * seed ) mod ( 2^31 - 1 ) // u = seed / ( 2^31 - 1 ) // // The integer arithmetic never requires more than 32 bits, // including a sign bit. // // Licensing: // // This code is distributed under the GNU LGPL license. // // Modified: // // 09 April 2012 // // Author: // // John Burkardt // // Reference: // // Paul Bratley, Bennett Fox, Linus Schrage, // A Guide to Simulation, // Second Edition, // Springer, 1987, // ISBN: 0387964673, // LC: QA76.9.C65.B73. // // Bennett Fox, // Algorithm 647: // Implementation and Relative Efficiency of Quasirandom // Sequence Generators, // ACM Transactions on Mathematical Software, // Volume 12, Number 4, December 1986, pages 362-376. // // Pierre L'Ecuyer, // Random Number Generation, // in Handbook of Simulation, // edited by Jerry Banks, // Wiley, 1998, // ISBN: 0471134031, // LC: T57.62.H37. // // Peter Lewis, Allen Goodman, James Miller, // A Pseudo-Random Number Generator for the System/360, // IBM Systems Journal, // Volume 8, Number 2, 1969, pages 136-143. // // Parameters: // // Input, int M, N, the number of rows and columns. // // Input, double A, B, the limits of the pseudorandom values. // // Input/output, int &SEED, the "seed" value. Normally, this // value should not be 0. On output, SEED has // been updated. // // Output, double R[M*N], a matrix of pseudorandom values. // { int i; const int i4_huge = 2147483647; int j; int k; if ( seed == 0 ) { cerr << "\n"; cerr << "R8MAT_UNIFORM_AB - Fatal error!\n"; cerr << " Input value of SEED = 0.\n"; exit ( 1 ); } for ( j = 0; j < n; j++ ) { for ( i = 0; i < m; i++ ) { k = seed / 127773; seed = 16807 * ( seed - k * 127773 ) - k * 2836; if ( seed < 0 ) { seed = seed + i4_huge; } r[i+j*m] = a + ( b - a ) * ( double ) ( seed ) * 4.656612875E-10; } } return; } //****************************************************************************80 void timestamp ( ) //****************************************************************************80 // // Purpose: // // TIMESTAMP prints the current YMDHMS date as a time stamp. // // Example: // // 31 May 2001 09:45:54 AM // // Licensing: // // This code is distributed under the GNU LGPL license. // // Modified: // // 24 September 2003 // // Author: // // John Burkardt // // Parameters: // // None // { # define TIME_SIZE 40 static char time_buffer[TIME_SIZE]; const struct tm *tm; time_t now; now = time ( NULL ); tm = localtime ( &now ); strftime ( time_buffer, TIME_SIZE, "%d %B %Y %I:%M:%S %p", tm ); cout << time_buffer << "\n"; return; # undef TIME_SIZE } //****************************************************************************80 void update ( int np, int nd, double pos[], double vel[], double f[], double acc[], double mass, double dt ) //****************************************************************************80 // // Purpose: // // UPDATE updates positions, velocities and accelerations. // // Discussion: // // The time integration is fully parallel. // // A velocity Verlet algorithm is used for the updating. // // x(t+dt) = x(t) + v(t) * dt + 0.5 * a(t) * dt * dt // v(t+dt) = v(t) + 0.5 * ( a(t) + a(t+dt) ) * dt // a(t+dt) = f(t) / m // // Licensing: // // This code is distributed under the GNU LGPL license. // // Modified: // // 21 November 2007 // // Author: // // John Burkardt // // Parameters: // // Input, int NP, the number of particles. // // Input, int ND, the number of spatial dimensions. // // Input/output, double POS[ND*NP], the positions. // // Input/output, double VEL[ND*NP], the velocities. // // Input, double F[ND*NP], the forces. // // Input/output, double ACC[ND*NP], the accelerations. // // Input, double MASS, the mass of each particle. // // Input, double DT, the time step. // { int i; int j; double rmass; rmass = 1.0 / mass; for ( j = 0; j < np; j++ ) { for ( i = 0; i < nd; i++ ) { pos[i+j*nd] = pos[i+j*nd] + vel[i+j*nd] * dt + 0.5 * acc[i+j*nd] * dt * dt; vel[i+j*nd] = vel[i+j*nd] + 0.5 * dt * ( f[i+j*nd] * rmass + acc[i+j*nd] ); acc[i+j*nd] = f[i+j*nd] * rmass; } } return; }