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ramp2.py
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ramp2.py
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# Copyright 2013 Devsim LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import sys
import devsim
from .new_physics import *
### modify to grow and shrink size
def rampvoltage(device, Vsource, begin_bias, end_bias, init_step_size, min_step, max_iter, rel_error, abs_error, callback):
'''
Ramps bias with assignable callback function
'''
start_bias=begin_bias
if (start_bias < end_bias):
step_sign=1
else:
step_sign=-1
num_successes = 0
last_bias=start_bias
step_size=init_step_size
while(abs(last_bias - end_bias) > min_step):
print(("last end %e %e") % (last_bias, end_bias))
next_bias=last_bias + step_sign * step_size
if next_bias < end_bias:
next_step_sign=1
else:
next_step_sign=-1
if next_step_sign != step_sign:
next_bias=end_bias
print("setting to last bias %e" % (end_bias))
print("setting next bias %e" % (next_bias))
devsim.circuit_alter(name=Vsource, value=next_bias)
try:
devsim.solve(type="dc", absolute_error=abs_error, relative_error=rel_error, maximum_iterations=max_iter)
except devsim.error as msg:
if str(msg).find("Convergence failure") != 0:
raise
devsim.circuit_alter(name=Vsource, value=last_bias)
step_size *= 0.5
print("setting new step size %e" % (step_size))
if step_size < min_step:
raise RuntimeError("Min step size too small")
num_successes = 0
continue
num_successes += 1
if (num_successes > 5) and (step_size < init_step_size):
step_size *= 2
if step_size > init_step_size:
step_size = init_step_size
print("setting new step size %e" % (step_size))
num_successes = 0
print("Succeeded")
last_bias=next_bias
callback()
def rampbias(device, contact, end_bias, step_size, min_step, max_iter, rel_error, abs_error, callback):
'''
Ramps bias with assignable callback function
'''
start_bias=devsim.get_parameter(device=device, name=GetContactBiasName(contact))
if (start_bias < end_bias):
step_sign=1
else:
step_sign=-1
last_bias=start_bias
while(abs(last_bias - end_bias) > min_step):
print(("last end %e %e") % (last_bias, end_bias))
next_bias=last_bias + step_sign * step_size
if next_bias < end_bias:
next_step_sign=1
else:
next_step_sign=-1
if next_step_sign != step_sign:
next_bias=end_bias
print("setting to last bias %e" % (end_bias))
print("setting next bias %e" % (next_bias))
devsim.set_parameter(device=device, name=GetContactBiasName(contact), value=next_bias)
try:
devsim.solve(type="dc", absolute_error=abs_error, relative_error=rel_error, maximum_iterations=max_iter)
except devsim.error as msg:
if str(msg).find("Convergence failure") != 0:
raise
devsim.set_parameter(device=device, name=GetContactBiasName(contact), value=last_bias)
step_size *= 0.5
print("setting new step size %e" % (step_size))
if step_size < min_step:
raise RuntimeError("Min step size too small")
continue
print("Succeeded")
last_bias=next_bias
callback()
def rampbias(device, contact, end_bias, step_size, min_step, max_iter, rel_error, abs_error, callback):
'''
Ramps bias with assignable callback function
'''
start_bias=devsim.get_parameter(device=device, name=GetContactBiasName(contact))
if (start_bias < end_bias):
step_sign=1
else:
step_sign=-1
last_bias=start_bias
while(abs(last_bias - end_bias) > min_step):
print(("last end %e %e") % (last_bias, end_bias))
next_bias=last_bias + step_sign * step_size
if next_bias < end_bias:
next_step_sign=1
else:
next_step_sign=-1
if next_step_sign != step_sign:
next_bias=end_bias
print("setting to last bias %e" % (end_bias))
print("setting next bias %e" % (next_bias))
devsim.set_parameter(device=device, name=GetContactBiasName(contact), value=next_bias)
try:
devsim.solve(type="dc", absolute_error=abs_error, relative_error=rel_error, maximum_iterations=max_iter)
except devsim.error as msg:
if str(msg).find("Convergence failure") != 0:
raise
devsim.set_parameter(device=device, name=GetContactBiasName(contact), value=last_bias)
step_size *= 0.5
print("setting new step size %e" % (step_size))
if step_size < min_step:
raise RuntimeError("Min step size too small")
continue
print("Succeeded")
last_bias=next_bias
callback(device)
def printAllCurrents(device, bias):
'''
Prints all contact currents on device
'''
for c in get_contact_list(device=device):
x = get_DCcurrent(device, c)
def PrintCurrents(device, contact):
'''
print out contact currents
'''
contact_bias_name = GetContactBiasName(contact)
electron_current= get_contact_current(device=device, contact=contact, equation=ece_name)
hole_current = get_contact_current(device=device, contact=contact, equation=hce_name)
total_current = electron_current + hole_current
voltage = devsim.get_parameter(device=device, name=GetContactBiasName(contact))
print("{0}\t{1}\t{2}\t{3}\t{4}".format(contact, voltage, electron_current, hole_current, total_current))