Modular Python Code for Multiconfigurational Non-Equilibrium Green's Function Methodologies
-
Updated
Sep 23, 2026 - Python
Modular Python Code for Multiconfigurational Non-Equilibrium Green's Function Methodologies
Interactive conceptual simulator of transistor scaling 45nm → sub-1nm: classical → near-quantum → quantum-dominated. FastAPI + NumPy/SciPy physics, React + Tailwind UI, AI explanations.
A Python framework for the self-consistent solution of 1D Non-Equilibrium Green's Function (NEGF) and Poisson equations for nanowire (nano device) ballistic structures.
⚛️ Self-consistent Schrödinger-Poisson solver for semiconductor nanostructures — 7 materials, Anderson mixing, real-time GUI
Inverse design of synaptic weight-update characteristics with a verified differentiable NEGF solver
verified differentiable NEGF solver for inverse design of quantum transport — benchmarks, gradient audits, FNO surrogate with OOD splits, and solver-confirmed inverse design
Two Raman phonons measure the fixed edge charge that limits width scaling in monolayer semiconductor nanoribbon transistors: first-principles Gruneisen parameters, adjoint spectral inversion, energy-resolved and quantum transport with a resolved Schottky contact, and the published data and figures.
To associate your repository with the nanoelectronics topic, visit your repo's landing page and select "manage topics."