qmcpack/labs/lab2_qmc_basics/oxygen_dimer/O_dimer.py

162 lines
5.2 KiB
Python
Executable File

#! /usr/bin/env python
# import Nexus functions
from nexus import settings,job,get_machine,run_project
from nexus import generate_physical_system
from nexus import generate_pwscf,generate_pw2qmcpack
from nexus import generate_qmcpack,loop,linear,vmc,dmc
# Nexus settings
settings(
pseudo_dir = './pseudopotentials',
runs = '',
results = '',
status_only = 0,
generate_only = 0,
sleep = 3,
#machine = 'ws4',
machine = 'vesta',
account = 'QMCPACK-Training',
)
# specify job details
if settings.machine.startswith('ws'): # running on workstation
dftjob = job(cores=4,app='pw.x')
p2qjob = job(cores=1,app='pw2qmcpack.x')
qmcjob = job(cores=4,app='qmcpack')
else: # running on Vesta
appdir = '/soft/applications/qmcpack/Binaries/'
dftjob = job(nodes=32,threads= 1,queue='qmcpack',hours=1,app=appdir+'pw.x')
p2qjob = job(cores= 1,threads= 1,queue='qmcpack',hours=1,app=appdir+'pw2qmcpack.x')
qmcjob = job(nodes=32,threads=16,queue='qmcpack',hours=1,app=appdir+'qmcpack')
vesta = get_machine('vesta') # allow one job at a time (lab only)
vesta.queue_size = 2
#end if
# create DFT, OPT, & DMC sim's for each bond length
sims = []
scales = [1.00]
for scale in scales:
directory = 'scale_'+str(scale)
# make stretched/compressed dimer
dimer = generate_physical_system(
type = 'dimer',
dimer = ('O','O'),
separation = 1.2074*scale,
Lbox = 10.0, # use 15.0 or so for production
units = 'A',
net_spin = 2,
O = 6,
)
# describe DFT run
dft = generate_pwscf(
identifier = 'dft',
path = directory,
job = dftjob,
system = dimer,
input_type = 'scf',
pseudos = ['O.BFD.upf'],
input_dft = 'lda',
ecut = 300,
conv_thr = 1e-7,
mixing_beta = .7,
nosym = True,
wf_collect = True,
)
sims.append(dft)
# describe orbital conversion run
p2q = generate_pw2qmcpack(
identifier = 'p2q',
path = directory,
job = p2qjob,
write_psir = False,
dependencies = (dft,'orbitals'),
)
sims.append(p2q)
# describe optimization run
if scale==1.00: # use eqm. Jastrow for all bond lengths
opt = generate_qmcpack(
identifier = 'opt',
path = directory,
job = qmcjob,
system = dimer,
input_type = 'basic',
pseudos = ['O.BFD.xml'],
bconds = 'nnn',
jastrows = [('J1','bspline',8,5.0), # 1 & 2 body Jastrows
('J2','bspline',8,10.0)],
calculations = [
loop(max=12,
qmc=linear(
energy = 0.0,
unreweightedvariance = 1.0,
reweightedvariance = 0.0,
timestep = 0.3,
samples = 61440,
warmupsteps = 50,
blocks = 200,
substeps = 1,
nonlocalpp = True,
usebuffer = True,
walkers = 1,
minwalkers = 0.5,
maxweight = 1e9,
usedrift = False,
minmethod = 'quartic',
beta = 0.025,
exp0 = -16,
bigchange = 15.0,
alloweddifference = 1e-4,
stepsize = 0.2,
stabilizerscale = 1.0,
nstabilizers = 3,
)
)
],
dependencies = (p2q,'orbitals'),
)
sims.append(opt)
#end if
# describe DMC run
qmc = generate_qmcpack(
identifier = 'qmc',
path = directory,
job = qmcjob,
system = dimer,
input_type = 'basic',
pseudos = ['O.BFD.xml'],
bconds = 'nnn',
jastrows = [],
calculations = [
vmc(
walkers = 1,
warmupsteps = 30,
blocks = 20,
steps = 10,
substeps = 2,
timestep = .4,
samples = 2048
),
dmc(
warmupsteps = 100,
blocks = 400,
steps = 32,
timestep = 0.01,
nonlocalmoves = True,
)
],
dependencies = [(p2q,'orbitals'),(opt,'jastrow') ],
)
sims.append(qmc)
#end for
# execute all simulations
run_project(sims)