kramersmoyal: Kramers-Moyal coefficients for stochastic data of any dimension, to any desired order
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Updated
Mar 5, 2026 - Python
kramersmoyal: Kramers-Moyal coefficients for stochastic data of any dimension, to any desired order
A Python-based Finite Difference Multi-dimensional Electro-ionic Drift Diffusion Simulator for Perovskite Solar Cells
Pyhton algorithm for numerical simulation of heterostructure devices
SCAPS-1D simulation of a lead-free FTO/ZnSe/CdTe/Cs2BiAgI6/Ni thin-film solar cell | ten ETLs and nine back contacts screened | 27.99% simulated PCE | figures regenerated from raw exports | Best Poster ACC 2024, 2 granted patents
Thin-film photovoltaic research simulator with 1D/2D drift-diffusion, Poisson and ion transport, transfer-matrix optics, explicit solver contracts, and a FastAPI/TypeScript UI.
Open-source TCAD for SkyWater Sky130 calibrated against measured silicon from 300 K to 77 K - drift-diffusion, dopant freeze-out, cryogenic SS saturation quantified, OpenVAF/ngspice compact-model loop
Examples of solving heat diffusion and charge drift-diffusion equations
Investigation of the role of volition in prospective memory
A Hybrid Architecture Fusing Deep Memory and Dynamic Neural Fields for Intention Decoding.
Live demo and run archive for TARHAN, an open-source 1D drift-diffusion semiconductor solver
First-principles EM field simulation for analog and digital circuits. Quasi-static + drift-diffusion + electro-thermal + SPICE on one Yee grid, with exact field-circuit coupling. Every assumption documented and measured.
Physics-first 0D/1D materials simulator, validation-first: pn-diode drift-diffusion, PEMFC/SOFC fuel cells and electrochemistry, each pinned to a source-cited reproduction test. Ships an MCP server exposing 9 guarded tools so AI agents can drive it. DEVSIM cross-check optional.
A Pyro-PPL implementation of a 2D Ornstein-Uhlenbeck process using stochastic variational inference.
Open 1-D drift-diffusion solver for perovskite solar cells: band-gap-coupled photoinduced halide segregation, J-V, hysteresis and impedance. Pure NumPy/SciPy.
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