Dependency-free 1D drift–diffusion–reaction (Poisson–Nernst–Planck) solver for interactive web demos
Computational Fluid Dynamics, Waves, Reactions, Plasmas
J-DriftX
Mesh-native graph surrogates for TCAD (ICCAD 2026): a GNN predicts drift-diffusion fields on the Sentaurus mesh and warm-starts the simulator (warm digital twin)
A Python-based Finite Difference Multi-dimensional Electro-ionic Drift Diffusion Simulator for Perovskite Solar Cells
Lightweight, modular TCAD core for GaN RF HEMTs: plugin-based architecture, self-consistent Schrodinger-Poisson and drift-diffusion solvers, 426 tests.
自研 1D 漂移-扩散–泊松求解器 + Si p-n 结全套验证（解析不变量 L1 / 网格二阶收敛 L2 / 对照 NIST Sesame 2.0 L3），numpy+scipy，一条命令复现 · A from-scratch 1-D drift-diffusion PN junction solver, verified against closed-form theory and NIST Sesame 2.0
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.
MATLAB research prototype for perovskite solar-cell optical generation, recombination, Chebfun drift-diffusion components, and illustrative device plots.
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
Open 1-D drift-diffusion solver for perovskite solar cells: band-gap-coupled photoinduced halide segregation, J-V, hysteresis and impedance. Pure NumPy/SciPy.
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.
Live demo and run archive for TARHAN, an open-source 1D drift-diffusion semiconductor solver
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
An interactive visualisation of the Wiener drift diffusion model
A Hybrid Architecture Fusing Deep Memory and Dynamic Neural Fields for Intention Decoding.
kramersmoyal: Kramers-Moyal coefficients for stochastic data of any dimension, to any desired order
Forecast short-horizon catalog attention on item graphs using CTMC + Wasserstein drift–diffusion (Retailrocket).
Research project investigating the addition of confidence bounds to the drift diffusion model (DDM) in order to explain confidence ratings and their associated reaction times.
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