84#include "../base/base_uses.f90"
89 CHARACTER(len=*),
PARAMETER,
PRIVATE :: moduleN =
'bfgs_optimizer'
90 LOGICAL,
PARAMETER :: debug_this_module = .true.
107 RECURSIVE SUBROUTINE geoopt_bfgs(force_env, gopt_param, globenv, geo_section, gopt_env, x0)
114 REAL(kind=
dp),
DIMENSION(:),
POINTER :: x0
116 CHARACTER(len=*),
PARAMETER :: routinen =
'geoopt_bfgs'
117 REAL(kind=
dp),
PARAMETER :: one = 1.0_dp, zero = 0.0_dp
119 CHARACTER(LEN=5) :: wildcard
120 CHARACTER(LEN=default_path_length) :: hes_filename
121 INTEGER :: handle, hesunit_read, indf, info, &
122 iter_nr, its, maxiter, ndf, nfree, &
124 LOGICAL :: conv, hesrest, ionode, shell_present, &
125 should_stop, use_mod_hes, use_rfo
126 REAL(kind=
dp) :: ediff, emin, eold, etot, pred, rad, rat, &
127 step, t_diff, t_now, t_old
128 REAL(kind=
dp),
ALLOCATABLE,
DIMENSION(:) :: dg, dr, dx, eigval, gold, work, xold
129 REAL(kind=
dp),
DIMENSION(:),
POINTER :: g
133 TYPE(
cp_fm_type) :: eigvec_mat, hess_mat, hess_tmp
140 NULLIFY (logger, g, blacs_env, spgr)
142 para_env => force_env%para_env
143 root_section => force_env%root_section
144 spgr => gopt_env%spgr
147 CALL timeset(routinen, handle)
150 ionode = para_env%is_source()
151 maxiter = gopt_param%max_iter
158 SELECT CASE (gopt_env%type_id)
160 cpabort(
"BFGS method not yet working with DIMER")
168 IF (output_unit > 0)
THEN
170 WRITE (unit=output_unit, fmt=
"(/,T2,A,T78,A3)") &
171 "BFGS| Use rational function optimization for step estimation: ",
"YES"
173 WRITE (unit=output_unit, fmt=
"(/,T2,A,T78,A3)") &
174 "BFGS| Use rational function optimization for step estimation: ",
" NO"
176 IF (use_mod_hes)
THEN
177 WRITE (unit=output_unit, fmt=
"(T2,A,T78,A3)") &
178 "BFGS| Use model Hessian for initial guess: ",
"YES"
180 WRITE (unit=output_unit, fmt=
"(T2,A,T78,A3)") &
181 "BFGS| Use model Hessian for initial guess: ",
" NO"
184 WRITE (unit=output_unit, fmt=
"(T2,A,T78,A3)") &
185 "BFGS| Restart Hessian: ",
"YES"
187 WRITE (unit=output_unit, fmt=
"(T2,A,T78,A3)") &
188 "BFGS| Restart Hessian: ",
" NO"
190 WRITE (unit=output_unit, fmt=
"(T2,A,T61,F20.3)") &
191 "BFGS| Trust radius: ", rad
195 nfree = gopt_env%nfree
197 CALL cp_warn(__location__, &
198 "The dimension of the Hessian matrix ("// &
199 trim(adjustl(
cp_to_string(ndf)))//
") is greater than 3000. "// &
200 "The diagonalisation of the full Hessian matrix needed for BFGS "// &
201 "is computationally expensive. You should consider to use the linear "// &
202 "scaling variant L-BFGS instead.")
207 globenv%blacs_repeatable)
209 nrow_global=ndf, ncol_global=ndf)
210 CALL cp_fm_create(hess_mat, fm_struct_hes, name=
"hess_mat")
211 CALL cp_fm_create(hess_tmp, fm_struct_hes, name=
"hess_tmp")
212 CALL cp_fm_create(eigvec_mat, fm_struct_hes, name=
"eigvec_mat")
213 ALLOCATE (eigval(ndf))
219 IF (use_mod_hes)
THEN
220 IF (shell_present)
THEN
221 CALL cp_warn(__location__, &
222 "No model Hessian is available for core-shell models. "// &
223 "A unit matrix is used as the initial Hessian.")
224 use_mod_hes = .false.
227 CALL cp_warn(__location__, &
228 "No model Hessian is available for cell optimizations. "// &
229 "A unit matrix is used as the initial Hessian.")
230 use_mod_hes = .false.
234 IF (use_mod_hes)
THEN
236 CALL construct_initial_hess(gopt_env%force_env, hess_mat)
242 IF (output_unit > 0)
THEN
243 WRITE (output_unit, *) &
244 "BFGS: Matrix diagonalization failed, using unity as model Hessian."
247 DO its = 1,
SIZE(eigval)
248 IF (eigval(its) < 0.1_dp) eigval(its) = 0.1_dp
252 CALL parallel_gemm(
"N",
"T", ndf, ndf, ndf, one, hess_tmp, eigvec_mat, zero, hess_mat)
281 IF (spgr%keep_space_group)
THEN
288 CALL cp_iterate(logger%iter_info, increment=0, iter_nr_out=iter_nr)
292 CALL cp_eval_at(gopt_env, x0, etot, g, master=gopt_env%force_env%para_env%mepos, &
293 para_env=gopt_env%force_env%para_env)
296 IF (spgr%keep_space_group)
THEN
304 t_diff = t_now - t_old
306 CALL gopt_f_io_init(gopt_env, output_unit, etot, wildcard=wildcard, its=iter_nr, used_time=t_diff)
307 DO its = iter_nr + 1, maxiter
308 CALL cp_iterate(logger%iter_info, last=(its == maxiter))
313 IF (((its - iter_nr) == 1) .AND. hesrest)
THEN
316 IF (len_trim(hes_filename) == 0)
THEN
318 hes_filename = trim(logger%iter_info%project_name)//
"-BFGS.Hessian"
320 IF (output_unit > 0)
THEN
321 WRITE (unit=output_unit, fmt=
"(/,T2,A)") &
322 "BFGS| Checking for Hessian restart file <"//trim(adjustl(hes_filename))//
">"
324 CALL open_file(file_name=trim(hes_filename), file_status=
"OLD", &
325 file_form=
"UNFORMATTED", file_action=
"READ", unit_number=hesunit_read)
326 IF (output_unit > 0)
THEN
327 WRITE (unit=output_unit, fmt=
"(T2,A)") &
328 "BFGS| Hessian restart file read"
332 IF (ionode)
CALL close_file(unit_number=hesunit_read)
334 IF ((its - iter_nr) > 1)
THEN
336 IF (spgr%keep_space_group)
THEN
342 dx(indf) = x0(indf) - xold(indf)
343 dg(indf) = g(indf) - gold(indf)
346 CALL bfgs(ndf, dx, dg, hess_mat, work, para_env)
349 IF (spgr%keep_space_group)
THEN
356 CALL write_bfgs_hessian(geo_section, hess_mat, logger)
362 IF (spgr%keep_space_group)
THEN
378 IF (output_unit > 0)
THEN
379 WRITE (output_unit, *) &
380 "BFGS: Matrix diagonalization failed, resetting Hessian to unity."
388 CALL set_hes_eig(ndf, eigval, work)
390 CALL rat_fun_opt(ndf, dg, eigval, work, eigvec_mat, g, para_env)
392 CALL geoopt_get_step(ndf, eigval, eigvec_mat, hess_tmp, dr, g, para_env, use_rfo)
395 IF (spgr%keep_space_group)
THEN
399 CALL trust_radius(ndf, step, rad, rat, dr, output_unit)
405 IF (spgr%keep_space_group)
THEN
409 CALL energy_predict(ndf, work, hess_mat, dr, g, conv, pred, para_env)
413 CALL cp_eval_at(gopt_env, x0, etot, g, master=gopt_env%force_env%para_env%mepos, &
414 para_env=gopt_env%force_env%para_env)
419 IF (spgr%keep_space_group)
THEN
425 IF (should_stop)
EXIT
429 t_diff = t_now - t_old
431 CALL gopt_f_io(gopt_env, force_env, root_section, its, etot, output_unit, &
432 eold, emin, wildcard, gopt_param, ndf, dr, g, conv, pred, rat, &
433 step, rad, used_time=t_diff)
435 IF (conv .OR. (its == maxiter))
EXIT
436 IF (etot < emin) emin = etot
437 IF (use_rfo)
CALL update_trust_rad(rat, rad, step, ediff)
440 IF (its == maxiter .AND. (.NOT. conv))
THEN
446 IF (spgr%show_space_group)
THEN
452 CALL cp_iterate(logger%iter_info, last=.true., increment=0)
453 CALL write_bfgs_hessian(geo_section, hess_mat, logger)
455 gopt_env%force_env%para_env, gopt_env%force_env%para_env%mepos, output_unit)
473 "PRINT%PROGRAM_RUN_INFO")
474 CALL timestop(handle)
488 SUBROUTINE rat_fun_opt(ndf, dg, eigval, work, eigvec_mat, g, para_env)
490 INTEGER,
INTENT(IN) :: ndf
491 REAL(kind=
dp),
INTENT(INOUT) :: dg(ndf), eigval(ndf), work(ndf)
493 REAL(kind=
dp),
INTENT(INOUT) :: g(ndf)
496 CHARACTER(LEN=*),
PARAMETER :: routinen =
'rat_fun_opt'
497 REAL(kind=
dp),
PARAMETER :: one = 1.0_dp
499 INTEGER :: handle, i, indf, iref, iter, j, k, l, &
500 maxit, ncol_local, nrow_local
501 INTEGER,
DIMENSION(:),
POINTER :: col_indices, row_indices
502 LOGICAL :: bisec, conv, fail, set
503 REAL(kind=
dp) :: fun, fun1, fun2, fun3, fung, lam1, lam2, &
504 ln, lp, ssize, step, stol
505 REAL(kind=
dp),
CONTIGUOUS,
DIMENSION(:, :), &
506 POINTER :: local_data
508 CALL timeset(routinen, handle)
518 CALL cp_fm_get_info(eigvec_mat, row_indices=row_indices, col_indices=col_indices, &
519 local_data=local_data, nrow_local=nrow_local, ncol_local=ncol_local)
525 dg(l) = dg(l) + local_data(i, k)*g(j)
528 CALL para_env%sum(dg)
539 IF (eigval(iref) < 0.0_dp) ln = eigval(iref) - 0.01_dp
548 fun = fun + dg(indf)**2/(ln - eigval(indf))
549 fung = fung - dg(indf)**2/((ln - eigval(indf))**2)
555 IF (abs(step) < stol)
THEN
559 IF (iter >= maxit)
EXIT
568 IF (eigval(iref) < 0.0_dp) lam1 = eigval(iref) - 0.01_dp
571 fun1 = fun1 + dg(indf)**2/(lam1 - eigval(indf))
574 step = abs(lam1)/1000.0_dp
575 IF (step < ssize) step = ssize
578 IF (iter > maxit)
THEN
585 lam2 = lam1 - iter*step
587 fun2 = fun2 + dg(indf)**2/(lam2 - eigval(indf))
590 IF (fun2*fun1 < 0.0_dp)
THEN
594 IF (iter > maxit)
THEN
600 step = (lam1 + lam2)/2
603 fun3 = fun3 + dg(indf)**2/(step - eigval(indf))
607 IF (abs(step - lam2) < stol)
THEN
612 IF (fun3*fun1 < stol)
THEN
621 IF ((ln > eigval(iref)) .OR. ((ln > 0.0_dp) .AND. &
622 (eigval(iref) > 0.0_dp)))
THEN
624 IF (.NOT. bisec)
THEN
635 IF (fail .AND. .NOT. set)
THEN
638 eigval(indf) = eigval(indf)*work(indf)
648 eigval(indf) = eigval(indf) - ln
653 CALL timestop(handle)
655 END SUBROUTINE rat_fun_opt
666 SUBROUTINE bfgs(ndf, dx, dg, hess_mat, work, para_env)
667 INTEGER,
INTENT(IN) :: ndf
668 REAL(kind=
dp),
INTENT(INOUT) :: dx(ndf), dg(ndf)
670 REAL(kind=
dp),
INTENT(INOUT) :: work(ndf)
673 CHARACTER(LEN=*),
PARAMETER :: routinen =
'bfgs'
674 REAL(kind=
dp),
PARAMETER :: one = 1.0_dp, zero = 0.0_dp
676 INTEGER :: handle, i, j, k, l, ncol_local, &
678 INTEGER,
DIMENSION(:),
POINTER :: col_indices, row_indices
679 REAL(kind=
dp) :: ddot, dxw, gdx
680 REAL(kind=
dp),
CONTIGUOUS,
DIMENSION(:, :), &
683 CALL timeset(routinen, handle)
685 CALL cp_fm_get_info(hess_mat, row_indices=row_indices, col_indices=col_indices, &
686 local_data=local_hes, nrow_local=nrow_local, ncol_local=ncol_local)
693 work(j) = work(j) + local_hes(i, k)*dx(l)
697 CALL para_env%sum(work)
699 gdx = ddot(ndf, dg, 1, dx, 1)
701 dxw = ddot(ndf, dx, 1, work, 1)
708 local_hes(i, k) = local_hes(i, k) + gdx*dg(j)*dg(l) - &
713 CALL timestop(handle)
723 SUBROUTINE set_hes_eig(ndf, eigval, work)
724 INTEGER,
INTENT(IN) :: ndf
725 REAL(kind=
dp),
INTENT(INOUT) :: eigval(ndf), work(ndf)
727 CHARACTER(LEN=*),
PARAMETER :: routinen =
'set_hes_eig'
728 REAL(kind=
dp),
PARAMETER :: max_neg = -0.5_dp, max_pos = 5.0_dp, &
729 min_eig = 0.005_dp, one = 1.0_dp
731 INTEGER :: handle, indf
734 CALL timeset(routinen, handle)
737 IF (eigval(indf) < 0.0_dp) neg = .true.
738 IF (eigval(indf) > 1000.0_dp) eigval(indf) = 1000.0_dp
741 IF (eigval(indf) < 0.0_dp)
THEN
742 IF (eigval(indf) < max_neg)
THEN
743 eigval(indf) = max_neg
744 ELSE IF (eigval(indf) > -min_eig)
THEN
745 eigval(indf) = -min_eig
747 ELSE IF (eigval(indf) < 1000.0_dp)
THEN
748 IF (eigval(indf) < min_eig)
THEN
749 eigval(indf) = min_eig
750 ELSE IF (eigval(indf) > max_pos)
THEN
751 eigval(indf) = max_pos
757 IF (eigval(indf) < 0.0_dp)
THEN
764 CALL timestop(handle)
766 END SUBROUTINE set_hes_eig
779 SUBROUTINE geoopt_get_step(ndf, eigval, eigvec_mat, hess_tmp, dr, g, para_env, use_rfo)
781 INTEGER,
INTENT(IN) :: ndf
782 REAL(kind=
dp),
INTENT(INOUT) :: eigval(ndf)
783 TYPE(
cp_fm_type),
INTENT(IN) :: eigvec_mat, hess_tmp
784 REAL(kind=
dp),
INTENT(INOUT) :: dr(ndf), g(ndf)
788 REAL(kind=
dp),
PARAMETER :: one = 1.0_dp, zero = 0.0_dp
790 INTEGER :: i, indf, j, k, l, ncol_local, nrow_local
791 INTEGER,
DIMENSION(:),
POINTER :: col_indices, row_indices
792 REAL(kind=
dp),
CONTIGUOUS,
DIMENSION(:, :), &
793 POINTER :: local_data
800 eigval(indf) = one/eigval(indf)
804 eigval(indf) = one/max(0.0001_dp, eigval(indf))
813 CALL parallel_gemm(
"N",
"T", ndf, ndf, ndf, one, hess_tmp, eigvec_mat, zero, tmp)
820 CALL cp_fm_get_info(hess_tmp, row_indices=row_indices, col_indices=col_indices, &
821 local_data=local_data, nrow_local=nrow_local, ncol_local=ncol_local)
828 dr(j) = dr(j) - local_data(i, k)*g(l)
832 CALL para_env%sum(dr)
834 END SUBROUTINE geoopt_get_step
845 SUBROUTINE trust_radius(ndf, step, rad, rat, dr, output_unit)
846 INTEGER,
INTENT(IN) :: ndf
847 REAL(kind=
dp),
INTENT(INOUT) :: step, rad, rat, dr(ndf)
848 INTEGER,
INTENT(IN) :: output_unit
850 CHARACTER(LEN=*),
PARAMETER :: routinen =
'trust_radius'
851 REAL(kind=
dp),
PARAMETER :: one = 1.0_dp
854 REAL(kind=
dp) :: scal
856 CALL timeset(routinen, handle)
858 step = maxval(abs(dr))
859 scal = max(one, rad/step)
863 CALL dscal(ndf, rat, dr, 1)
865 IF (output_unit > 0)
THEN
866 WRITE (unit=output_unit, fmt=
"(/,T2,A,F8.5)") &
867 " Step is scaled; Scaling factor = ", rat
871 CALL timestop(handle)
873 END SUBROUTINE trust_radius
886 SUBROUTINE energy_predict(ndf, work, hess_mat, dr, g, conv, pred, para_env)
888 INTEGER,
INTENT(IN) :: ndf
889 REAL(kind=
dp),
INTENT(INOUT) :: work(ndf)
891 REAL(kind=
dp),
INTENT(INOUT) :: dr(ndf), g(ndf)
892 LOGICAL,
INTENT(INOUT) :: conv
893 REAL(kind=
dp),
INTENT(INOUT) :: pred
896 CHARACTER(LEN=*),
PARAMETER :: routinen =
'energy_predict'
897 REAL(kind=
dp),
PARAMETER :: zero = 0.0_dp
899 INTEGER :: handle, i, j, k, l, ncol_local, &
901 INTEGER,
DIMENSION(:),
POINTER :: col_indices, row_indices
902 REAL(kind=
dp) :: ddot, ener1, ener2
903 REAL(kind=
dp),
CONTIGUOUS,
DIMENSION(:, :), &
904 POINTER :: local_data
906 CALL timeset(routinen, handle)
908 ener1 = ddot(ndf, g, 1, dr, 1)
910 CALL cp_fm_get_info(hess_mat, row_indices=row_indices, col_indices=col_indices, &
911 local_data=local_data, nrow_local=nrow_local, ncol_local=ncol_local)
918 work(j) = work(j) + local_data(i, k)*dr(l)
922 CALL para_env%sum(work)
923 ener2 = ddot(ndf, dr, 1, work, 1)
924 pred = ener1 + 0.5_dp*ener2
926 CALL timestop(handle)
928 END SUBROUTINE energy_predict
937 SUBROUTINE update_trust_rad(rat, rad, step, ediff)
939 REAL(kind=
dp),
INTENT(INOUT) :: rat, rad, step, ediff
941 CHARACTER(LEN=*),
PARAMETER :: routinen =
'update_trust_rad'
942 REAL(kind=
dp),
PARAMETER :: max_trust = 1.0_dp, min_trust = 0.1_dp
946 CALL timeset(routinen, handle)
948 IF (rat > 4.0_dp)
THEN
949 IF (ediff < 0.0_dp)
THEN
954 ELSE IF (rat > 2.0_dp)
THEN
955 IF (ediff < 0.0_dp)
THEN
960 ELSE IF (rat > 4.0_dp/3.0_dp)
THEN
961 IF (ediff < 0.0_dp)
THEN
966 ELSE IF (rat > 10.0_dp/9.0_dp)
THEN
967 IF (ediff < 0.0_dp)
THEN
972 ELSE IF (rat > 0.9_dp)
THEN
973 IF (ediff < 0.0_dp)
THEN
978 ELSE IF (rat > 0.75_dp)
THEN
979 IF (ediff < 0.0_dp)
THEN
984 ELSE IF (rat > 0.5_dp)
THEN
985 IF (ediff < 0.0_dp)
THEN
990 ELSE IF (rat > 0.25_dp)
THEN
991 IF (ediff < 0.0_dp)
THEN
996 ELSE IF (ediff < 0.0_dp)
THEN
1002 rad = max(rad, min_trust)
1003 rad = min(rad, max_trust)
1004 CALL timestop(handle)
1006 END SUBROUTINE update_trust_rad
1016 SUBROUTINE write_bfgs_hessian(geo_section, hess_mat, logger)
1022 CHARACTER(LEN=*),
PARAMETER :: routinen =
'write_bfgs_hessian'
1024 INTEGER :: handle, hesunit
1026 CALL timeset(routinen, handle)
1029 extension=
".Hessian", file_form=
"UNFORMATTED", file_action=
"WRITE", &
1030 file_position=
"REWIND")
1036 CALL timestop(handle)
1038 END SUBROUTINE write_bfgs_hessian
1046 SUBROUTINE construct_initial_hess(force_env, hess_mat)
1051 INTEGER :: i, iat_col, iat_row, iglobal, iind, j, &
1052 jat_row, jglobal, jind, k, natom, &
1053 ncol_local, nrow_local, z
1054 INTEGER,
ALLOCATABLE,
DIMENSION(:) :: at_row
1055 INTEGER,
DIMENSION(:),
POINTER :: col_indices, row_indices
1056 REAL(kind=
dp),
ALLOCATABLE,
DIMENSION(:, :) :: d_ij, rho_ij
1057 REAL(kind=
dp),
ALLOCATABLE,
DIMENSION(:, :, :) :: r_ij
1058 REAL(kind=
dp),
CONTIGUOUS,
DIMENSION(:, :), &
1059 POINTER :: fixed, local_data
1060 REAL(kind=
dp),
DIMENSION(3, 3) :: alpha, r0
1067 CALL force_env_get(force_env=force_env, subsys=subsys, cell=cell)
1069 particles=particles)
1071 alpha(1, :) = [1._dp, 0.3949_dp, 0.3949_dp]
1072 alpha(2, :) = [0.3494_dp, 0.2800_dp, 0.2800_dp]
1073 alpha(3, :) = [0.3494_dp, 0.2800_dp, 0.1800_dp]
1075 r0(1, :) = [1.35_dp, 2.10_dp, 2.53_dp]
1076 r0(2, :) = [2.10_dp, 2.87_dp, 3.40_dp]
1077 r0(3, :) = [2.53_dp, 3.40_dp, 3.40_dp]
1079 CALL cp_fm_get_info(hess_mat, row_indices=row_indices, col_indices=col_indices, &
1080 local_data=local_data, nrow_local=nrow_local, ncol_local=ncol_local)
1081 natom = particles%n_els
1082 ALLOCATE (at_row(natom))
1083 ALLOCATE (rho_ij(natom, natom))
1084 ALLOCATE (d_ij(natom, natom))
1085 ALLOCATE (r_ij(natom, natom, 3))
1086 ALLOCATE (fixed(3, natom))
1090 CALL hess_mat%matrix_struct%para_env%min(fixed(i, :))
1097 IF (z <= 10) at_row(i) = 2
1098 IF (z <= 2) at_row(i) = 1
1105 r_ij(j, i, :) =
pbc(particles%els(i)%r, particles%els(j)%r, cell)
1106 r_ij(i, j, :) = -r_ij(j, i, :)
1107 d_ij(j, i) = norm2(r_ij(j, i, :))
1108 d_ij(i, j) = d_ij(j, i)
1109 rho_ij(j, i) = exp(alpha(jat_row, iat_row)*(r0(jat_row, iat_row)**2 - d_ij(j, i)**2))
1110 rho_ij(i, j) = rho_ij(j, i)
1113 DO i = 1, ncol_local
1114 iglobal = col_indices(i)
1115 iind = mod(iglobal - 1, 3) + 1
1116 iat_col = (iglobal + 2)/3
1117 IF (iat_col > natom) cycle
1118 DO j = 1, nrow_local
1119 jglobal = row_indices(j)
1120 jind = mod(jglobal - 1, 3) + 1
1121 iat_row = (jglobal + 2)/3
1122 IF (iat_row > natom) cycle
1123 IF (iat_row /= iat_col)
THEN
1124 IF (d_ij(iat_row, iat_col) < 6.0_dp)
THEN
1125 local_data(j, i) = local_data(j, i) + &
1126 angle_second_deriv(r_ij, d_ij, rho_ij, iind, jind, iat_col, iat_row, natom)
1129 local_data(j, i) = local_data(j, i) + &
1130 angle_second_deriv(r_ij, d_ij, rho_ij, iind, jind, iat_col, iat_row, natom)
1132 IF (iat_col /= iat_row)
THEN
1133 IF (d_ij(iat_row, iat_col) < 6.0_dp)
THEN
1134 local_data(j, i) = local_data(j, i) - &
1135 dist_second_deriv(r_ij(iat_col, iat_row, :), &
1136 iind, jind, d_ij(iat_row, iat_col), rho_ij(iat_row, iat_col))
1140 IF (k == iat_col) cycle
1141 IF (d_ij(iat_row, k) < 6.0_dp)
THEN
1142 local_data(j, i) = local_data(j, i) + &
1143 dist_second_deriv(r_ij(iat_col, k, :), &
1144 iind, jind, d_ij(iat_row, k), rho_ij(iat_row, k))
1148 IF (fixed(jind, iat_row) < 0.5_dp .OR. fixed(iind, iat_col) < 0.5_dp)
THEN
1149 local_data(j, i) = 0.0_dp
1150 IF (jind == iind .AND. iat_row == iat_col) local_data(j, i) = 1.0_dp
1160 END SUBROUTINE construct_initial_hess
1171 PURE FUNCTION dist_second_deriv(r1, i, j, d, rho)
RESULT(deriv)
1172 REAL(kind=
dp),
DIMENSION(3),
INTENT(IN) :: r1
1173 INTEGER,
INTENT(IN) :: i, j
1174 REAL(kind=
dp),
INTENT(IN) :: d, rho
1175 REAL(kind=
dp) :: deriv
1177 deriv = 0.45_dp*rho*(r1(i)*r1(j))/d**2
1178 END FUNCTION dist_second_deriv
1192 FUNCTION angle_second_deriv(r_ij, d_ij, rho_ij, idir, jdir, iat_der, jat_der, natom)
RESULT(deriv)
1193 REAL(kind=
dp),
DIMENSION(:, :, :) :: r_ij
1194 REAL(kind=
dp),
DIMENSION(:, :) :: d_ij, rho_ij
1195 INTEGER :: idir, jdir, iat_der, jat_der, natom
1196 REAL(kind=
dp) :: deriv
1198 INTEGER :: i, iat, idr, j, jat, jdr
1199 REAL(kind=
dp) :: d12, d23, d31, d_mat(3, 2), denom1, &
1200 denom2, denom3, ka1, ka2, ka3, rho12, &
1201 rho23, rho31, rsst1, rsst2, rsst3
1202 REAL(kind=
dp),
DIMENSION(3) :: r12, r23, r31
1205 IF (iat_der == jat_der)
THEN
1207 IF (rho_ij(iat_der, i) < 0.00001) cycle
1209 IF (rho_ij(iat_der, j) < 0.00001) cycle
1210 IF (i == iat_der .OR. j == iat_der) cycle
1211 IF (iat_der < i .OR. iat_der > j)
THEN
1212 r12 = r_ij(iat_der, i, :); r23 = r_ij(i, j, :); r31 = r_ij(j, iat_der, :)
1213 d12 = d_ij(iat_der, i); d23 = d_ij(i, j); d31 = d_ij(j, iat_der)
1214 rho12 = rho_ij(iat_der, i); rho23 = rho_ij(i, j); rho31 = rho_ij(j, iat_der)
1216 r12 = r_ij(iat_der, j, :); r23 = r_ij(j, i, :); r31 = r_ij(i, iat_der, :)
1217 d12 = d_ij(iat_der, j); d23 = d_ij(j, i); d31 = d_ij(i, iat_der)
1218 rho12 = rho_ij(iat_der, j); rho23 = rho_ij(j, i); rho31 = rho_ij(i, iat_der)
1220 ka1 = 0.15_dp*rho12*rho23; ka2 = 0.15_dp*rho23*rho31; ka3 = 0.15_dp*rho31*rho12
1221 rsst1 = dot_product(r12, r23); rsst2 = dot_product(r23, r31); rsst3 = dot_product(r31, r12)
1222 denom1 = 1.0_dp - rsst1**2/(d12**2*d23**2); denom2 = 1.0_dp - rsst2**2/(d23**2*d31**2)
1223 denom3 = 1.0_dp - rsst3**2/(d31**2*d12**2)
1224 denom1 = sign(1.0_dp, denom1)*max(abs(denom1), 0.01_dp)
1225 denom2 = sign(1.0_dp, denom2)*max(abs(denom2), 0.01_dp)
1226 denom3 = sign(1.0_dp, denom3)*max(abs(denom3), 0.01_dp)
1227 d_mat(1, 1) = r23(idir)/(d12*d23) - rsst1*r12(idir)/(d12**3*d23)
1228 d_mat(1, 2) = r23(jdir)/(d12*d23) - rsst1*r12(jdir)/(d12**3*d23)
1229 d_mat(2, 1) = -r23(idir)/(d23*d31) + rsst2*r31(idir)/(d23*d31**3)
1230 d_mat(2, 2) = -r23(jdir)/(d23*d31) + rsst2*r31(jdir)/(d23*d31**3)
1231 d_mat(3, 1) = (r31(idir) - r12(idir))/(d31*d12) + rsst3*r31(idir)/(d31**3*d12) - &
1232 rsst3*r12(idir)/(d31*d12**3)
1233 d_mat(3, 2) = (r31(jdir) - r12(jdir))/(d31*d12) + rsst3*r31(jdir)/(d31**3*d12) - &
1234 rsst3*r12(jdir)/(d31*d12**3)
1235 IF (abs(denom1) <= 0.011_dp) d_mat(1, 1) = 0.0_dp
1236 IF (abs(denom2) <= 0.011_dp) d_mat(2, 1) = 0.0_dp
1237 IF (abs(denom3) <= 0.011_dp) d_mat(3, 1) = 0.0_dp
1238 deriv = deriv + ka1*d_mat(1, 1)*d_mat(1, 2)/denom1 + &
1239 ka2*d_mat(2, 1)*d_mat(2, 2)/denom2 + &
1240 ka3*d_mat(3, 1)*d_mat(3, 2)/denom3
1246 IF (i == iat_der .OR. i == jat_der) cycle
1247 IF (jat_der < iat_der)
THEN
1248 iat = jat_der; jat = iat_der; idr = jdir; jdr = idir
1250 iat = iat_der; jat = jat_der; idr = idir; jdr = jdir
1252 IF (jat < i .OR. iat > i)
THEN
1253 r12 = r_ij(iat, jat, :); r23 = r_ij(jat, i, :); r31 = r_ij(i, iat, :)
1254 d12 = d_ij(iat, jat); d23 = d_ij(jat, i); d31 = d_ij(i, iat)
1255 rho12 = rho_ij(iat, jat); rho23 = rho_ij(jat, i); rho31 = rho_ij(i, iat)
1257 r12 = r_ij(iat, i, :); r23 = r_ij(i, jat, :); r31 = r_ij(jat, iat, :)
1258 d12 = d_ij(iat, i); d23 = d_ij(i, jat); d31 = d_ij(jat, iat)
1259 rho12 = rho_ij(iat, i); rho23 = rho_ij(i, jat); rho31 = rho_ij(jat, iat)
1261 ka1 = 0.15_dp*rho12*rho23; ka2 = 0.15_dp*rho23*rho31; ka3 = 0.15_dp*rho31*rho12
1262 rsst1 = dot_product(r12, r23); rsst2 = dot_product(r23, r31); rsst3 = dot_product(r31, r12)
1263 denom1 = 1.0_dp - rsst1**2/(d12**2*d23**2); denom2 = 1.0_dp - rsst2**2/(d23**2*d31**2)
1264 denom3 = 1.0_dp - rsst3**2/(d31**2*d12**2)
1265 denom1 = sign(1.0_dp, denom1)*max(abs(denom1), 0.01_dp)
1266 denom2 = sign(1.0_dp, denom2)*max(abs(denom2), 0.01_dp)
1267 denom3 = sign(1.0_dp, denom3)*max(abs(denom3), 0.01_dp)
1268 d_mat(1, 1) = r23(idr)/(d12*d23) - rsst1*r12(idr)/(d12**3*d23)
1269 d_mat(2, 1) = -r23(idr)/(d23*d31) + rsst2*r31(idr)/(d23*d31**3)
1270 d_mat(3, 1) = (r31(idr) - r12(idr))/(d31*d12) + rsst3*r31(idr)/(d31**3*d12) - &
1271 rsst3*r12(idr)/(d31*d12**3)
1272 IF (jat < i .OR. iat > i)
THEN
1273 d_mat(1, 2) = (r12(jdr) - r23(jdr))/(d12*d23) + rsst1*r12(jdr)/(d12**3*d23) - &
1274 rsst1*r23(jdr)/(d12*d23**3)
1275 d_mat(2, 2) = r31(jdr)/(d23*d31) - rsst2*r23(jdr)/(d23**3*d31)
1276 d_mat(3, 2) = -r31(jdr)/(d31*d12) + rsst3*r12(jdr)/(d31*d12**3)
1278 d_mat(1, 2) = -r12(jdr)/(d12*d23) + rsst1*r23(jdr)/(d12*d23**3)
1279 d_mat(2, 2) = (r23(jdr) - r31(jdr))/(d23*d31) + rsst2*r23(jdr)/(d23**3*d31) - &
1280 rsst2*r31(jdr)/(d23*d31**3)
1281 d_mat(3, 2) = r12(jdr)/(d31*d12) - rsst3*r31(jdr)/(d31**3*d12)
1283 IF (abs(denom1) <= 0.011_dp) d_mat(1, 1) = 0.0_dp
1284 IF (abs(denom2) <= 0.011_dp) d_mat(2, 1) = 0.0_dp
1285 IF (abs(denom3) <= 0.011_dp) d_mat(3, 1) = 0.0_dp
1287 deriv = deriv + ka1*d_mat(1, 1)*d_mat(1, 2)/denom1 + &
1288 ka2*d_mat(2, 1)*d_mat(2, 2)/denom2 + &
1289 ka3*d_mat(3, 1)*d_mat(3, 2)/denom3
1292 deriv = 0.25_dp*deriv
1294 END FUNCTION angle_second_deriv
represent a simple array based list of the given type
Define the atomic kind types and their sub types.
subroutine, public get_atomic_kind_set(atomic_kind_set, atom_of_kind, kind_of, natom_of_kind, maxatom, natom, nshell, fist_potential_present, shell_present, shell_adiabatic, shell_check_distance, damping_present)
Get attributes of an atomic kind set.
subroutine, public get_atomic_kind(atomic_kind, fist_potential, element_symbol, name, mass, kind_number, natom, atom_list, rcov, rvdw, z, qeff, apol, cpol, mm_radius, shell, shell_active, damping)
Get attributes of an atomic kind.
Routines for Geometry optimization using BFGS algorithm.
recursive subroutine, public geoopt_bfgs(force_env, gopt_param, globenv, geo_section, gopt_env, x0)
Main driver for BFGS geometry optimizations.
collects all references to literature in CP2K as new algorithms / method are included from literature...
integer, save, public lindh1995
Handles all functions related to the CELL.
subroutine, public fix_atom_control(force_env, w)
allows for fix atom constraints
methods related to the blacs parallel environment
subroutine, public cp_blacs_env_release(blacs_env)
releases the given blacs_env
subroutine, public cp_blacs_env_create(blacs_env, para_env, blacs_grid_layout, blacs_repeatable, row_major, grid_2d)
allocates and initializes a type that represent a blacs context
Routines to handle the external control of CP2K.
subroutine, public external_control(should_stop, flag, globenv, target_time, start_time, force_check)
External manipulations during a run : when the <PROJECT_NAME>.EXIT_$runtype command is sent the progr...
Utility routines to open and close files. Tracking of preconnections.
subroutine, public open_file(file_name, file_status, file_form, file_action, file_position, file_pad, unit_number, debug, skip_get_unit_number, file_access)
Opens the requested file using a free unit number.
subroutine, public close_file(unit_number, file_status, keep_preconnection)
Close an open file given by its logical unit number. Optionally, keep the file and unit preconnected.
Basic linear algebra operations for full matrices.
subroutine, public cp_fm_column_scale(matrixa, scaling)
scales column i of matrix a with scaling(i)
subroutine, public cp_fm_transpose(matrix, matrixt)
transposes a matrix matrixt = matrix ^ T
used for collecting some of the diagonalization schemes available for cp_fm_type. cp_fm_power also mo...
subroutine, public choose_eigv_solver(matrix, eigenvectors, eigenvalues, info)
Choose the Eigensolver depending on which library is available ELPA seems to be unstable for small sy...
represent the structure of a full matrix
subroutine, public cp_fm_struct_create(fmstruct, para_env, context, nrow_global, ncol_global, nrow_block, ncol_block, descriptor, first_p_pos, local_leading_dimension, template_fmstruct, square_blocks, force_block)
allocates and initializes a full matrix structure
subroutine, public cp_fm_struct_release(fmstruct)
releases a full matrix structure
represent a full matrix distributed on many processors
subroutine, public cp_fm_get_info(matrix, name, nrow_global, ncol_global, nrow_block, ncol_block, nrow_local, ncol_local, row_indices, col_indices, local_data, context, nrow_locals, ncol_locals, matrix_struct, para_env)
returns all kind of information about the full matrix
subroutine, public cp_fm_write_unformatted(fm, unit)
...
subroutine, public cp_fm_read_unformatted(fm, unit)
...
subroutine, public cp_fm_set_all(matrix, alpha, beta)
set all elements of a matrix to the same value, and optionally the diagonal to a different one
subroutine, public cp_fm_create(matrix, matrix_struct, name, nrow, ncol, set_zero)
creates a new full matrix with the given structure
various routines to log and control the output. The idea is that decisions about where to log should ...
type(cp_logger_type) function, pointer, public cp_get_default_logger()
returns the default logger
routines to handle the output, The idea is to remove the decision of wheter to output and what to out...
integer function, public cp_print_key_unit_nr(logger, basis_section, print_key_path, extension, middle_name, local, log_filename, ignore_should_output, file_form, file_position, file_action, file_status, do_backup, on_file, is_new_file, mpi_io, fout)
...
subroutine, public cp_print_key_finished_output(unit_nr, logger, basis_section, print_key_path, local, ignore_should_output, on_file, mpi_io)
should be called after you finish working with a unit obtained with cp_print_key_unit_nr,...
integer, parameter, public cp_p_file
subroutine, public cp_iterate(iteration_info, last, iter_nr, increment, iter_nr_out)
adds one to the actual iteration
integer function, public cp_print_key_should_output(iteration_info, basis_section, print_key_path, used_print_key, first_time)
returns what should be done with the given property if btest(res,cp_p_store) then the property should...
types that represent a subsys, i.e. a part of the system
subroutine, public cp_subsys_get(subsys, ref_count, atomic_kinds, atomic_kind_set, particles, particle_set, local_particles, molecules, molecule_set, molecule_kinds, molecule_kind_set, local_molecules, para_env, colvar_p, shell_particles, core_particles, gci, multipoles, natom, nparticle, ncore, nshell, nkind, atprop, virial, results, cell, cell_ref, use_ref_cell)
returns information about various attributes of the given subsys
Interface for the force calculations.
recursive subroutine, public force_env_get(force_env, in_use, fist_env, qs_env, meta_env, fp_env, subsys, para_env, potential_energy, additional_potential, kinetic_energy, harmonic_shell, kinetic_shell, cell, sub_force_env, qmmm_env, qmmmx_env, eip_env, pwdft_env, globenv, input, force_env_section, method_name_id, root_section, mixed_env, nnp_env, embed_env, ipi_env)
returns various attributes about the force environment
Define type storing the global information of a run. Keep the amount of stored data small....
contains a functional that calculates the energy and its derivatives for the geometry optimizer
subroutine, public print_geo_opt_header(gopt_env, output_unit, label)
...
subroutine, public gopt_f_io_init(gopt_env, output_unit, opt_energy, wildcard, its, used_time)
Handles the Output during an optimization run.
recursive subroutine, public gopt_f_io_finalize(gopt_env, force_env, x0, conv, its, root_section, para_env, master, output_unit)
Handles the Output at the end of an optimization run.
subroutine, public gopt_f_io(gopt_env, force_env, root_section, its, opt_energy, output_unit, eold, emin, wildcard, gopt_param, ndf, dx, xi, conv, pred, rat, step, rad, used_time)
Handles the Output during an optimization run.
subroutine, public print_geo_opt_nc(gopt_env, output_unit)
...
subroutine, public cp_eval_at(gopt_env, x, f, gradient, master, final_evaluation, para_env)
evaluete the potential energy and its gradients using an array with same dimension as the particle_se...
subroutine, public gopt_f_ii(its, output_unit)
Prints iteration step of the optimization procedure on screen.
contains a functional that calculates the energy and its derivatives for the geometry optimizer
contains typo and related routines to handle parameters controlling the GEO_OPT module
Defines the basic variable types.
integer, parameter, public dp
integer, parameter, public default_path_length
Machine interface based on Fortran 2003 and POSIX.
subroutine, public m_flush(lunit)
flushes units if the &GLOBAL flag is set accordingly
real(kind=dp) function, public m_walltime()
returns time from a real-time clock, protected against rolling early/easily
Interface to the message passing library MPI.
basic linear algebra operations for full matrixes
represent a simple array based list of the given type
Space Group Symmetry Type Module (version 1.0, Ferbruary 12, 2021)
Space Group Symmetry Module (version 1.0, January 16, 2020)
subroutine, public print_spgr(spgr)
routine prints Space Group Information.
subroutine, public spgr_apply_rotations_coord(spgr, coord)
routine applies the rotation matrices to the coordinates.
subroutine, public identify_space_group(subsys, geo_section, gopt_env, iunit)
routine indentifies the space group and finds rotation matrices.
subroutine, public spgr_apply_rotations_force(spgr, force)
routine applies the rotation matrices to the forces.
represent a list of objects
Type defining parameters related to the simulation cell.
represent a blacs multidimensional parallel environment (for the mpi corrispective see cp_paratypes/m...
keeps the information about the structure of a full matrix
type of a logger, at the moment it contains just a print level starting at which level it should be l...
represents a system: atoms, molecules, their pos,vel,...
wrapper to abstract the force evaluation of the various methods
contains the initially parsed file and the initial parallel environment
calculates the potential energy of a system, and its derivatives
stores all the informations relevant to an mpi environment
represent a list of objects