The company provides a NEGF‑based simulation platform for semiconductor heterostructure devices such as quantum cascade lasers, quantum dots, and terahertz emitters. The software solves quantum‑transport equations self‑consistently with Poisson’s equation, incorporates multi‑band k·p and tight‑binding bandstructures, a comprehensive scattering library, and runs on parallel MPI/GPU hardware to enable large‑scale design sweeps. Integrated with the nextnano suite and offering Python/Matlab APIs for geometry setup and result export, it shortens the time‑to‑prototype for quantum optoelectronic components.
Funding
Funding not disclosed
Founders
Product
Problem
Designing semiconductor quantum devices such as quantum cascade lasers, quantum dots, or terahertz emitters requires accurate quantum‑transport analysis. Conventional simulation tools often lack a rigorous non‑equilibrium Green’s function (NEGF) implementation, leading to long development cycles and uncertain performance predictions.
Solution
The company delivers a dedicated NEGF‑based simulation platform for semiconductor heterostructures. The software solves the quantum‑transport equations self‑consistently with Poisson’s equation, incorporates detailed scattering mechanisms (electron‑phonon, impurity, interface roughness), and supports multi‑band k·p and tight‑binding bandstructures. Users can model carrier dynamics, gain spectra, and temperature dependence across a wide range of material systems, from III‑V compounds to Si‑Ge alloys. The tool integrates with the broader nextnano suite, enabling seamless workflow from device geometry definition to post‑processing of results. High‑performance computing (parallel MPI) and a scripting interface accelerate large‑scale design sweeps, reducing time‑to‑prototype for quantum optoelectronic components.
Features
- Full NEGF solver with self‑consistent Poisson–Schrödinger coupling for 1D/2D heterostructures
- Comprehensive scattering library (acoustic/optical phonons, alloy disorder, interface roughness) with temperature‑dependent rates
- Multi‑band k·p and empirical tight‑binding bandstructure modules for III‑V, Si‑Ge, and emerging material platforms
- Integrated material parameter database covering band offsets, effective masses, dielectric constants, and deformation potentials
- Parallelized MPI engine and GPU‑optional kernels for large‑scale parameter sweeps and Monte‑Carlo sampling
- Python/Matlab scripting API and GUI for geometry creation, boundary‑condition setup, and result visualization
- Export of simulation data in standard formats (HDF5, CSV) and FEA‑compatible meshes for downstream electromagnetic analysis
- Compatibility layer for nextnano commercial products, enabling unified project management and licensing