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mirror of https://gitlab.com/scemama/QCaml.git synced 2024-12-22 20:33:36 +01:00

CAS+EN2 works for multiple determinants

This commit is contained in:
Anthony Scemama 2019-03-19 15:05:58 +01:00
parent 963441b434
commit 98d213a0ad
3 changed files with 60 additions and 16 deletions

View File

@ -17,7 +17,7 @@ include FourIdxStorage
(** Exponent of the geminal *) (** Exponent of the geminal *)
let expo_s = 1.0 let expo_s = 1.0
(** Coefficients and exponents of the Gaussian fit *) (** Coefficients and exponents of the Gaussian fit of the Slater Geminal*)
let coef_g = let coef_g =
[| 0.3144 ; 0.3037 ; 0.1681 ; 0.09811 ; 0.06024 ; 0.03726 |] [| 0.3144 ; 0.3037 ; 0.1681 ; 0.09811 ; 0.06024 ; 0.03726 |]
@ -26,6 +26,29 @@ let expo_sg_inv =
[| 0.2209 ; 1.004 ; 3.622 ; 12.16 ; 45.87 ; 254.4 |] [| 0.2209 ; 1.004 ; 3.622 ; 12.16 ; 45.87 ; 254.4 |]
(*
Fit of 1/r:
let coef_g = [|
841.88478132 ; 70.590185207 ; 18.3616020768 ; 7.2608642093 ;
3.57483416444 ; 2.01376031082 ; 1.24216542801 ; 0.81754348620 ;
0.564546514023 ; 0.404228610699 ; 0.297458536575 ; 0.223321219537 ;
0.169933732064 ; 0.130190978230 ; 0.099652303426 ; 0.075428246546 ;
0.0555635614051 ; 0.0386791283055 ; 0.0237550435652 ; 0.010006278387 ;
|]
let expo_sg_inv =
Array.map (fun x -> 1. /. (x *. expo_s *. expo_s))
[| 84135.654509 ; 2971.58727634 ; 474.716025959 ; 130.676724560 ;
47.3938388887 ; 20.2078651631 ; 9.5411021938 ; 4.8109546955 ;
2.52795733067 ; 1.35894103210 ; 0.73586710268 ; 0.39557629706 ;
0.20785895177 ; 0.104809693858 ; 0.049485682527 ; 0.021099788990 ;
0.007652472186 ; 0.0021065225215 ; 0.0003365204879 ; 0.0000118855674 |]
*)
let class_of_contracted_shell_pair_couple shell_pair_couple = let class_of_contracted_shell_pair_couple shell_pair_couple =
F12RR.contracted_class_shell_pair_couple F12RR.contracted_class_shell_pair_couple
expo_sg_inv coef_g shell_pair_couple expo_sg_inv coef_g shell_pair_couple

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@ -5,6 +5,7 @@ module Sd = Spindeterminant
type t = type t =
{ {
e_shift : float ; (* Diagonal energy shift for increasing numerical precision *)
det_space : Ds.t ; det_space : Ds.t ;
m_H : Matrix.t lazy_t ; m_H : Matrix.t lazy_t ;
m_S2 : Matrix.t lazy_t ; m_S2 : Matrix.t lazy_t ;
@ -342,9 +343,17 @@ let create_matrix_spin f det_space =
let make ?(n_states=1) det_space = let make ?(n_states=1) det_space =
let m_H = let mo_basis = Ds.mo_basis det_space in
let mo_basis = Ds.mo_basis det_space in let e_shift =
let d0 =
Ds.determinant_stream det_space
|> Stream.next
in
h_ij mo_basis d0 d0
in
let m_H =
(* While in a sequential region, initiate the parallel (* While in a sequential region, initiate the parallel
4-idx transformation to avoid nested parallel jobs 4-idx transformation to avoid nested parallel jobs
@ -356,7 +365,12 @@ let make ?(n_states=1) det_space =
| Ds.Arbitrary _ -> create_matrix_arbitrary | Ds.Arbitrary _ -> create_matrix_arbitrary
| Ds.Spin _ -> create_matrix_spin | Ds.Spin _ -> create_matrix_spin
in in
f (fun ki kj -> h_ij mo_basis ki kj) det_space f (fun ki kj ->
if ki <> kj then
h_ij mo_basis ki kj
else
h_ij mo_basis ki kj -. e_shift
) det_space
in in
let m_S2 = let m_S2 =
@ -378,10 +392,14 @@ let make ?(n_states=1) det_space =
let matrix_prod psi = let matrix_prod psi =
Matrix.mm ~transa:`T m_H psi Matrix.mm ~transa:`T m_H psi
in in
Davidson.make ~n_states diagonal matrix_prod let eigenvectors, eigenvalues =
Davidson.make ~threshold:1.e-12 ~n_states diagonal matrix_prod
in
let eigenvalues = Vec.map (fun x -> x +. e_shift) eigenvalues in
eigenvectors, eigenvalues
) )
in in
{ det_space ; m_H ; m_S2 ; eigensystem ; n_states } { det_space ; e_shift ; m_H ; m_S2 ; eigensystem ; n_states }
@ -411,8 +429,6 @@ let second_order_sum { det_space ; m_H ; m_S2 ; eigensystem ; n_states }
Array.init (Ds.size det_space) (fun i -> Array.init (Ds.size det_space) (fun i ->
Stream.next stream, psi0.{i+1,1}) Stream.next stream, psi0.{i+1,1})
in in
(* (*
let is_internal = let is_internal =
let m l = let m l =
@ -447,8 +463,8 @@ let second_order_sum { det_space ; m_H ; m_S2 ; eigensystem ; n_states }
let is_internal alfa = let is_internal alfa =
let rec aux = function let rec aux = function
| -1 -> false | -1 -> false
| j -> if (Determinant.degree (fst psi0.(j)) alfa = 0) then true | j -> Determinant.degree (fst psi0.(j)) alfa = 0
else aux (j-1) || aux (j-1)
in in
aux (Array.length psi0 - 1) aux (Array.length psi0 - 1)
in in
@ -462,8 +478,8 @@ let second_order_sum { det_space ; m_H ; m_S2 ; eigensystem ; n_states }
else else
let rec aux = function let rec aux = function
| -1 -> false | -1 -> false
| j -> if (Determinant.degree (fst psi0.(j)) alfa <= 2) then true | j -> Determinant.degree (fst psi0.(j)) alfa <= 2
else aux (j-1) || aux (j-1)
in in
aux (i-1) aux (i-1)
in in
@ -506,6 +522,7 @@ let second_order_sum { det_space ; m_H ; m_S2 ; eigensystem ; n_states }
let det_i = fst psi0.(i) in let det_i = fst psi0.(i) in
let w_alfa = w_alfa det_i in let w_alfa = w_alfa det_i in
let same_spin = let same_spin =
List.fold_left (fun accu spin -> List.fold_left (fun accu spin ->
accu +. accu +.
@ -525,12 +542,12 @@ let second_order_sum { det_space ; m_H ; m_S2 ; eigensystem ; n_states }
let double = let double =
List.fold_left (fun accu particle' -> List.fold_left (fun accu particle' ->
if particle' > particle then if particle' > particle || particle' = hole then
accu accu
else else
accu +. accu +.
List.fold_left (fun accu hole' -> List.fold_left (fun accu hole' ->
if hole' = particle' || hole' < hole then if hole' = particle' || hole' = particle || hole' < hole then
accu accu
else else
let alfa = let alfa =

View File

@ -11,7 +11,8 @@ let make
matrix_prod matrix_prod
= =
let n = Vec.dim diagonal in (* Size of the matrix to diagonalize *) (* Size of the matrix to diagonalize *)
let n = Vec.dim diagonal in
let m = (* Number of requested states *) let m = (* Number of requested states *)
@ -27,6 +28,8 @@ let make
if i<k then 0. if i<k then 0.
else if i=k then 1.e5 else if i=k then 1.e5
else else
0.
(*
let r1 = Random.float 1. let r1 = Random.float 1.
and r2 = Random.float 1. and r2 = Random.float 1.
in in
@ -34,6 +37,7 @@ let make
and b = Constants.two_pi *. r2 in and b = Constants.two_pi *. r2 in
let c = a *. cos b in let c = a *. cos b in
if abs_float c > 1.e-1 then c else 0. if abs_float c > 1.e-1 then c else 0.
*)
) )
|> Util.normalize |> Util.normalize
in in
@ -130,7 +134,7 @@ let make
in in
iteration u_next u_proposed w_next (iter+1) iteration u_next u_proposed w_next (iter+1)
else else
(Mat.of_col_vecs_list u_next |> pick_new |> Mat.of_col_vecs_list), lambda (m_new_U |> pick_new |> Mat.of_col_vecs_list), lambda
in in
iteration [] u_new [] 1 iteration [] u_new [] 1