FORTRAN变量输出不等于输入

时间:2015-04-13 21:22:59

标签: random fortran

首先,我是FORTRAN的新手,以及大多数编程形式。据说我试图建立一个盒子,然后随机生成100个原子的x,y,z坐标。从那里,目标是计算每个原子之间的距离,并对距离结果进行一些数学计算。以下是我的代码。即使n被定义为100,并且将打印' 100',当我打印cx时,我只得到20个结果。

    program energytot
    implicit none

    integer :: i, n, j, seed(12), k, m
    double precision:: sigma, r, epsilon, lx, ly, lz
    double precision, dimension(:), allocatable :: cx, cy, cz, dx, dy, dz, x, y, z, LJx, LJy, LJz
    allocate(x(n), y(n), z(n), LJx(n), LJy(n), LJz(n), dx(n), dy(n), dz(n))
    n = 100 !Number of molecules inside the box
    sigma = 4.1
    epsilon = 1.7
    !Box length with respect to the axis
    lx = 15
    ly = 15
    lz = 15

    do i=1,12
        seed(i)=1+3
    end do
    !generate n random numbers for x, y, z
    call RANDOM_SEED(PUT = seed)
    call random_number(x)
    call random_number(y)
    call random_number(z)
    !convert random numbers into x, y, z coordinates with (0,0,0) as the central point
    cx = ((2*x)-1)*(lx*0.5)
    cy = ((2*y)-1)*(lx*0.5)
    cz = ((2*z)-1)*(lz*0.5)

    do j=1,n-1
        do k=j+1,n
            dx = ABS((cx(j) - cx(j+1)))
            LJx = 4 * epsilon * ((sigma/dx(j))**12 - (sigma/dx(j))**6)
            dy = ABS((cy(j) - cy(j+1)))
            LJy = 4 * epsilon * ((sigma/dy(j))**12 - (sigma/dy(j))**6)
            dz = ABS((cz(j) - cz(j+1)))
            LJz = 4 * epsilon * ((sigma/dz(j))**12 - (sigma/dz(j))**6)
        end do
    end do
    print*,cx
    print*,x
    end program energytot

1 个答案:

答案 0 :(得分:1)

您声明cx(以及cyczallocatable,但您没有为它们分配空间。此外,在为变量n指定值之前,您可以将其用作为其他allocatable分配的元素数。为什么其中任何一个甚至需要首先动态分配?

我会替换这段代码......

    integer :: i, n, j, seed(12), k, m
    double precision:: sigma, r, epsilon, lx, ly, lz
    double precision, dimension(:), allocatable :: cx, cy, cz, dx, dy, dz, x, y, z, LJx, LJy, LJz
    allocate(x(n), y(n), z(n), LJx(n), LJy(n), LJz(n), dx(n), dy(n), dz(n))
    n = 100 !Number of molecules inside the box

......用这个:

    integer, parameter :: n = 100
    integer :: i, j, seed(12), k, m
    double precision :: sigma, r, epsilon, lx, ly, lz
    double precision, dimension(n) :: cx, cy, cz, dx, dy, dz, x, y, z, LJx, LJy, LJz

我还观察到,在计算距离的循环中,循环变量k,但不使用其值。结果,看起来你多次计算相同的距离。