Skip to main content

Python library for creating and running PADRE semiconductor device simulations

Project description

nanohub-padre

A Python library for creating and running PADRE semiconductor device simulations.

Overview

nanohub-padre provides a Pythonic interface to generate PADRE input decks, making it easier to set up complex device simulations programmatically. PADRE (Physics-based Accurate Device Resolution and Evaluation) is a 2D/3D device simulator that solves the drift-diffusion equations for semiconductor devices.

Features

  • Pythonic Interface: Define meshes, regions, doping profiles, and solver settings using Python objects
  • Device Factory Functions: Pre-built functions to create common devices (PN diode, MOSFET, BJT, solar cell, etc.)
  • Complete PADRE Support: Covers mesh generation, material properties, physical models, and solve commands
  • Validation: Built-in parameter validation and helpful error messages
  • Examples: Ready-to-run examples for common device structures

Installation

pip install nanohub-padre

Or install from source:

git clone https://github.com/nanohub/nanohub-padre.git
cd nanohub-padre
pip install -e .

Quick Start

Using Device Factory Functions (Recommended)

from nanohubpadre import create_mosfet, Solve, Log

# Create an NMOS transistor with one line
sim = create_mosfet(
    channel_length=0.05,
    device_type="nmos",
    temperature=300
)

# Add solve commands
sim.add_solve(Solve(initial=True))
sim.add_log(Log(ivfile="idvg"))
sim.add_solve(Solve(v3=0, vstep=0.1, nsteps=15, electrode=3))

# Generate the input deck
print(sim.generate_deck())

Building from Scratch

from nanohubpadre import (
    Simulation, Mesh, Region, Electrode, Doping,
    Contact, Models, System, Solve
)

# Create simulation
sim = Simulation(title="Simple PN Diode")

# Define mesh
sim.mesh = Mesh(nx=100, ny=3)
sim.mesh.add_x_mesh(1, 0)
sim.mesh.add_x_mesh(100, 1.0)
sim.mesh.add_y_mesh(1, 0)
sim.mesh.add_y_mesh(3, 1)

# Define silicon region
sim.add_region(Region(1, ix_low=1, ix_high=100, iy_low=1, iy_high=3, silicon=True))

# Define electrodes
sim.add_electrode(Electrode(1, ix_low=1, ix_high=1, iy_low=1, iy_high=3))
sim.add_electrode(Electrode(2, ix_low=100, ix_high=100, iy_low=1, iy_high=3))

# Define doping
sim.add_doping(Doping(p_type=True, concentration=1e17, uniform=True, x_right=0.5))
sim.add_doping(Doping(n_type=True, concentration=1e17, uniform=True, x_left=0.5))

# Set contacts
sim.add_contact(Contact(all_contacts=True, neutral=True))

# Configure models
sim.models = Models(temperature=300, srh=True, conmob=True, fldmob=True)
sim.system = System(electrons=True, holes=True, newton=True)

# Solve
sim.add_solve(Solve(initial=True))

# Generate and print the input deck
print(sim.generate_deck())

Device Factory Functions

The library includes factory functions for common devices:

Function Description
create_pn_diode PN junction diode
create_mos_capacitor MOS capacitor for C-V analysis
create_mosfet NMOS/PMOS transistor
create_mesfet Metal-semiconductor FET
create_bjt NPN/PNP bipolar transistor
create_schottky_diode Schottky barrier diode
create_solar_cell PN junction solar cell

Examples

The examples/ directory contains Python equivalents of common PADRE simulations:

  • pndiode.py: PN junction diode I-V characterization
  • moscap.py: MOS capacitor C-V analysis
  • mosfet_equivalent.py: NMOS transistor transfer and output characteristics
  • mesfet.py: Metal-Semiconductor FET simulation
  • single_mosgap.py: Simple oxide-silicon structure

Device factory examples in examples/devices/:

  • pn_diode_example.py: PN diode using factory function
  • mosfet_example.py: NMOS using factory function
  • bjt_example.py: NPN BJT using factory function
  • solar_cell_example.py: Solar cell using factory function

Run an example:

PYTHONPATH=. python3 examples/pndiode.py > pndiode.inp
padre < pndiode.inp > pndiode.out

Supported Commands

nanohub-padre supports all major PADRE commands:

Category Commands
Mesh MESH, X.MESH, Y.MESH, Z.MESH
Structure REGION, ELECTRODE
Doping DOPING (uniform, Gaussian, ERFC, file)
Boundaries CONTACT, INTERFACE, SURFACE
Materials MATERIAL, ALLOY
Models MODELS
Solver SYSTEM, METHOD, LINALG, SOLVE
Output LOG, PLOT.1D, PLOT.2D, PLOT.3D, CONTOUR, VECTOR
Control OPTIONS, LOAD, REGRID, ADAPT

Documentation

Full documentation is available at https://nanohub-padre.readthedocs.io/

Testing

Run the test suite:

pytest tests/ -v

License

MIT License - see LICENSE file for details.

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

nanohub_padre-0.0.6.tar.gz (123.2 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

nanohub_padre-0.0.6-py3-none-any.whl (134.6 kB view details)

Uploaded Python 3

File details

Details for the file nanohub_padre-0.0.6.tar.gz.

File metadata

  • Download URL: nanohub_padre-0.0.6.tar.gz
  • Upload date:
  • Size: 123.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.10.11

File hashes

Hashes for nanohub_padre-0.0.6.tar.gz
Algorithm Hash digest
SHA256 cb8325c9b1dd24ab6e499f70a9798066cb1b256b23f0091ccdab810c924555fa
MD5 654a83d846d887992d0e8e5e355b8158
BLAKE2b-256 08d20415f87eab5dba62b7e01193643e360a28f719eeb5e71732017f5ccab018

See more details on using hashes here.

File details

Details for the file nanohub_padre-0.0.6-py3-none-any.whl.

File metadata

  • Download URL: nanohub_padre-0.0.6-py3-none-any.whl
  • Upload date:
  • Size: 134.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.10.11

File hashes

Hashes for nanohub_padre-0.0.6-py3-none-any.whl
Algorithm Hash digest
SHA256 b4529fc90bb1d8a8dd79e9dcb52edb0595585507e936f05c7f8e2f43a0174e1b
MD5 f367f7d5ca826ebcd06557ce0804875e
BLAKE2b-256 a713246d4ea4a4aa1ca7bb2bcb9405d0547c14cc3b3d44ee7922a807d194c0e8

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page