subroutine VWN3_lda_correlation_energy(nGrid,weight,rho,Ec) ! Compute unrestricted VWN3 LDA correlation energy implicit none include 'parameters.h' ! Input variables integer,intent(in) :: nGrid double precision,intent(in) :: weight(nGrid) double precision,intent(in) :: rho(nGrid,nspin) ! Local variables integer :: iG double precision :: ra,rb,r,rs,x,z double precision :: a_p,x0_p,xx0_p,b_p,c_p,x_p,q_p double precision :: a_f,x0_f,xx0_f,b_f,c_f,x_f,q_f double precision :: a_a,x0_a,xx0_a,b_a,c_a,x_a,q_a double precision :: ec_z,ec_p,ec_f,ec_a double precision :: fz,d2fz ! Output variables double precision :: Ec(nsp) ! Parameters of the functional a_p = +0.0621814d0/2d0 x0_p = -0.409286d0 b_p = +13.0720d0 c_p = +42.7198d0 a_f = +0.0621814d0/4d0 x0_f = -0.743294d0 b_f = +20.1231d0 c_f = +101.578d0 a_a = -1d0/(6d0*pi**2) x0_a = -0.0047584D0 b_a = 1.13107d0 c_a = 13.0045d0 ! Initialization Ec(:) = 0d0 do iG=1,nGrid ra = max(0d0,rho(iG,1)) rb = max(0d0,rho(iG,2)) r = ra + rb z = (ra - rb)/r ! alpha-alpha contribution if(ra > threshold) then rs = (4d0*pi*ra/3d0)**(-1d0/3d0) x = sqrt(rs) x_f = x*x + b_f*x + c_f xx0_f = x0_f*x0_f + b_f*x0_f + c_f q_f = sqrt(4d0*c_f - b_f*b_f) ec_f = a_f*( log(x**2/x_f) + 2d0*b_f/q_f*atan(q_f/(2d0*x + b_f)) & - b_f*x0_f/xx0_f*( log((x - x0_f)**2/x_f) + 2d0*(b_f + 2d0*x0_f)/q_f*atan(q_f/(2d0*x + b_f)) ) ) Ec(1) = Ec(1) + weight(iG)*ec_f*ra end if ! alpha-beta contribution if(r > threshold) then rs = (4d0*pi*r/3d0)**(-1d0/3d0) x = sqrt(rs) fz = (1d0 + z)**(4d0/3d0) + (1d0 - z)**(4d0/3d0) - 2d0 fz = fz/(2d0*(2d0**(1d0/3d0) - 1d0)) d2fz = 4d0/(9d0*(2**(1d0/3d0) - 1d0)) x_p = x*x + b_p*x + c_p x_f = x*x + b_f*x + c_f x_a = x*x + b_a*x + c_a xx0_p = x0_p*x0_p + b_p*x0_p + c_p xx0_f = x0_f*x0_f + b_f*x0_f + c_f xx0_a = x0_a*x0_a + b_a*x0_a + c_a q_p = sqrt(4d0*c_p - b_p*b_p) q_f = sqrt(4d0*c_f - b_f*b_f) q_a = sqrt(4d0*c_a - b_a*b_a) ec_p = a_p*( log(x**2/x_p) + 2d0*b_p/q_p*atan(q_p/(2d0*x + b_p)) & - b_p*x0_p/xx0_p*( log((x - x0_p)**2/x_p) + 2d0*(b_p + 2d0*x0_p)/q_p*atan(q_p/(2d0*x + b_p)) ) ) ec_f = a_f*( log(x**2/x_f) + 2d0*b_f/q_f*atan(q_f/(2d0*x + b_f)) & - b_f*x0_f/xx0_f*( log((x - x0_f)**2/x_f) + 2d0*(b_f + 2d0*x0_f)/q_f*atan(q_f/(2d0*x + b_f)) ) ) ec_a = a_a*( log(x**2/x_a) + 2d0*b_a/q_a*atan(q_a/(2d0*x + b_a)) & - b_a*x0_a/xx0_a*( log((x - x0_a)**2/x_a) + 2d0*(b_a + 2d0*x0_a)/q_a*atan(q_a/(2d0*x + b_a)) ) ) ec_z = ec_p + ec_a*fz/d2fz*(1d0-z**4) + (ec_f - ec_p)*fz*z**4 Ec(2) = Ec(2) + weight(iG)*ec_z*r end if ! beta-beta contribution if(rb > threshold) then rs = (4d0*pi*rb/3d0)**(-1d0/3d0) x = sqrt(rs) x_f = x*x + b_f*x + c_f xx0_f = x0_f*x0_f + b_f*x0_f + c_f q_f = sqrt(4d0*c_f - b_f*b_f) ec_f = a_f*( log(x**2/x_f) + 2d0*b_f/q_f*atan(q_f/(2d0*x + b_f)) & - b_f*x0_f/xx0_f*( log((x - x0_f)**2/x_f) + 2d0*(b_f + 2d0*x0_f)/q_f*atan(q_f/(2d0*x + b_f)) ) ) Ec(3) = Ec(3) + weight(iG)*ec_f*rb end if end do Ec(2) = Ec(2) - Ec(1) - Ec(3) end subroutine VWN3_lda_correlation_energy