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GAUDRY Emilie
MachineLearning_Al13Co4_PES
Commits
5067e694
Commit
5067e694
authored
10 months ago
by
BOULANGEOT Nathan
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Add AEM_image.py
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Minimum Working Exemple/AEM_image.py
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5067e694
import
numpy
as
np
import
ase
import
os
import
ase.io
from
ase.io
import
Trajectory
import
matplotlib.pyplot
as
plt
from
ase.data
import
covalent_radii
plt
.
rcParams
[
'
font.size
'
]
=
25
plt
.
rcParams
[
'
axes.linewidth
'
]
=
1.5
def
read_regu_all
(
result_path
):
#Eslab and mu are the energy of the slab and the adsorbate alone.
#It needs to be manually changed to get the adsorption energy Eads=Etot-Eslab-mu
Eslab
=-
33.14301679
*
4
mu
=
-
6.762788
/
2
at_train
=
Trajectory
(
result_path
+
'
/train.traj
'
)
y_mean
=
np
.
mean
([
at
.
get_potential_energy
()
for
at
in
at_train
])
ind
=
[]
Epred
=
[]
with
open
(
result_path
+
'
/resultat.txt
'
,
'
r
'
)
as
f
:
a
=
f
.
read
().
split
(
'
indice:
'
)
for
i
,
line
in
enumerate
(
a
[
1
:]):
b
=
line
.
split
()
ind
.
append
(
int
(
b
[
0
]))
Epred
.
append
(
float
(
b
[
9
]))
f
.
close
()
ind
,
Epred
=
zip
(
*
sorted
(
zip
(
ind
,
Epred
)))
ind
=
list
(
ind
)
Epred
=
np
.
array
(
Epred
)
+
y_mean
-
Eslab
-
mu
return
Epred
def
atomplot
(
ax
,
aX
=
0
,
aY
=
0
,
lw
=
1.3
,
POSCAR
=
'
POSCAR
'
):
c_radii
=
[]
el_colors
=
[]
at
=
ase
.
io
.
read
(
POSCAR
,
format
=
'
vasp
'
)
at_number
=
at
.
get_atomic_numbers
()
cell
=
at
.
cell
shift
=
[
aX
,
aY
,
0
]
@cell
pos
=
at
.
get_positions
()
zpos
=
pos
[:,
2
]
zind
=
np
.
argsort
(
zpos
)[
-
8
:]
sub_surf_lim
=
13
for
i
in
range
(
len
(
at
)):
c_radii
.
append
(
covalent_radii
[
at_number
[
i
]])
colors
=
[
'
red
'
,
'
orange
'
,
'
purple
'
]
el_colors
=
[
'
k
'
]
*
len
(
at_number
)
for
ian
,
an
in
enumerate
(
np
.
unique
(
at_number
)):
for
i
in
np
.
where
(
at_number
==
an
)[
0
]:
el_colors
[
i
]
=
colors
[
ian
]
for
i
in
zind
:
if
zpos
[
i
]
<
sub_surf_lim
:
ls
=
'
:
'
else
:
ls
=
'
-
'
circle
=
plt
.
Circle
((
pos
[
i
,
0
]
+
shift
[
0
],
pos
[
i
,
1
]
+
shift
[
1
]),
c_radii
[
i
],
color
=
el_colors
[
i
],
fill
=
False
,
linestyle
=
ls
,
lw
=
lw
)
ax
.
add_artist
(
circle
)
def
replicate9
(
X
,
Y
,
E
,
cell
):
X_tot
=
[]
Y_tot
=
[]
rep
=
[
-
1
,
0
,
1
]
pos
=
np
.
array
([[
i
,
j
,
0
]
for
i
in
rep
for
j
in
rep
])
pos
=
pos
@cell
xx
=
pos
[:,
0
]
yy
=
pos
[:,
1
]
for
i
in
range
(
len
(
xx
)):
X_tot
=
np
.
concatenate
((
X_tot
,
X
+
xx
[
i
]))
Y_tot
=
np
.
concatenate
((
Y_tot
,
Y
+
yy
[
i
]))
E
=
np
.
tile
(
E
,
9
)
return
X_tot
,
Y_tot
,
E
def
ads_mps
(
X
,
Y
,
E
,
ax
,
POSCAR
=
'
POSCAR
'
,
minE
=
None
,
maxE
=
None
):
cmap
=
'
Blues_r
'
if
minE
is
None
:
print
(
'
no minmaxE
'
)
maxE
=
max
(
E
)
minE
=
min
(
E
)
ax
.
tricontourf
(
X
,
Y
,
E
,
100
,
cmap
=
cmap
,
vmax
=
maxE
,
vmin
=
minE
)
ax
.
scatter
(
X
,
Y
,
s
=
1
,
c
=
'
k
'
)
#-----------------
plotcell
=
(
np
.
array
([[
0
,
1
,
1
,
0
,
0
],[
0
,
0
,
1
,
1
,
0
],[
0
,
0
,
0
,
0
,
0
]]).
T
@cell
).
T
[:
2
]
ax
.
plot
(
plotcell
[
0
],
plotcell
[
1
],
'
k-
'
)
ax
.
set_xlim
(
-
cell
[
0
,
0
]
*
0.15
,
1.55
*
cell
[
0
,
0
])
ax
.
set_ylim
(
-
cell
[
1
,
1
]
*
0.35
,
1.35
*
cell
[
1
,
1
])
ax
.
set_xlabel
(
r
'
$x$ ($\mathregular{\AA}$)
'
,
labelpad
=-
15
)
#,rotation=180)
ax
.
set_ylabel
(
r
'
$y$ ($\mathregular{\AA}$)
'
,
labelpad
=-
15
)
#,rotation=180)
ax
.
set_aspect
(
'
equal
'
)
ax
.
minorticks_on
()
ax
.
tick_params
(
which
=
'
major
'
,
width
=
1.5
)
ax
.
tick_params
(
which
=
'
minor
'
,
width
=
1
)
ax
.
tick_params
(
which
=
'
major
'
,
length
=
7
)
ax
.
tick_params
(
which
=
'
minor
'
,
length
=
4
)
ax
.
xaxis
.
set_tick_params
(
which
=
'
both
'
,
direction
=
'
in
'
,
top
=
True
,
labelbottom
=
True
)
ax
.
yaxis
.
set_tick_params
(
which
=
'
both
'
,
direction
=
'
in
'
,
top
=
True
,
labelbottom
=
True
)
for
i
in
[
-
1
,
0
,
1
]:
for
j
in
[
-
1
,
0
,
1
]:
atomplot
(
ax
,
i
,
j
,
POSCAR
=
POSCAR
)
cmap
=
'
Blues_r
'
postrain_props
=
{
'
s
'
:
58
,
'
c
'
:
'
yellow
'
,
'
marker
'
:
'
^
'
,
'
edgecolor
'
:
'
k
'
,
'
linewidths
'
:.
9
,
'
zorder
'
:
100
}
path_props
=
{
'
s
'
:
58
,
'
c
'
:
'
green
'
,
'
marker
'
:
'
o
'
,
'
edgecolor
'
:
'
k
'
,
'
linewidths
'
:.
9
,
'
zorder
'
:
100
}
path_ini
=
'
./
'
traj
=
Trajectory
(
path_ini
+
'
/train.traj
'
)
E_tot
=
[
t
.
get_potential_energy
()
for
t
in
traj
]
Eslab
=-
33.14301679
*
4
mu
=
-
6.762788
/
2
minE
=
min
(
E_tot
)
-
Eslab
-
mu
maxE
=
max
(
E_tot
)
-
Eslab
-
mu
print
(
minE
,
maxE
)
os
.
chdir
(
path_ini
)
POSCAR
=
path_ini
+
'
/POSCAR
'
Xi
,
Yi
,
_
=
pos_to_relax
(
POSCAR
)
poscar
=
ase
.
io
.
read
(
POSCAR
)
cell
=
poscar
.
get_cell
()
fig
,
ax
=
plt
.
subplots
(
1
,
1
,
figsize
=
(
8
,
6
))
result_path
=
path_ini
Ei
=
read_regu_all
(
result_path
)
minE
=
min
(
Ei
)
maxE
=
max
(
Ei
)
X
,
Y
,
E
=
replicate9
(
Xi
,
Yi
,
np
.
array
(
Ei
),
cell
)
ads_mps
(
X
,
Y
,
E
,
ax
,
POSCAR
=
POSCAR
,
minE
=
minE
,
maxE
=
maxE
)
cax
=
plt
.
axes
([
0.2
,
-
0.1
,
0.6
,
0.03
])
m
=
plt
.
cm
.
ScalarMappable
(
cmap
=
cmap
)
cbar
=
plt
.
colorbar
(
m
,
boundaries
=
np
.
arange
(
minE
,
maxE
,
0.001
),
cax
=
cax
,
label
=
r
'
E$_{ads}$ H / Ag (eV)
'
,
orientation
=
'
horizontal
'
)
cbar
.
ax
.
tick_params
(
labelsize
=
20
)
cbar
.
formatter
.
set_powerlimits
((
0
,
0
))
cax
.
xaxis
.
set_ticks_position
(
"
top
"
)
ticks
=
np
.
around
(
np
.
linspace
(
minE
+
.
002
,
maxE
-
.
002
,
5
),
2
)
cbar
.
set_ticks
(
ticks
)
ax
.
scatter
(
np
.
array
(
postrain
)[:,
0
],
np
.
array
(
postrain
)[:,
1
],
**
postrain_props
)
fig
.
savefig
(
path_ini
+
'
Ag111_AEM_
'
+
str
(
i
+
1
)
+
'
pos.pdf
'
,
bbox_inches
=
'
tight
'
,
pad_inches
=
0.1
,
dpi
=
300
)
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