diffusion models

THE INFLUENCE OF PEM THICKNESS ON CELL PERFORMANCE AND PRESSURE DROP IN GAS CHANNELS WITH DISTINCT CROSS-SECTIONS BASED ON CFD

Hydrogen is a promising clean energy carrier owing to producing from renewable and low carbon resourcessuch as waste, hydro, wind and solar. Proton exchange membrane fuel cells (PEMFCs) have an encouragingprospect for the future energy source employed in distinct applications such as transportations, portable andstatio...

jenswag/eve: Name update

Hybrid model for predicting composition-dependent mutual diffusion coefficients in liquid mixtures

Deterministic Electrochemical Battery State Estimation via Volume-Weighted Lithium Mass Hyperplane Projections: Achieving Zero-Drift SoC and Hard Real-Time BMS on Microcontrollers

Precise on-board estimation of State of Charge (SoC) and State of Health (SoH) in lithium-ion battery management systems (BMS) remains a critical bottleneck in electric vehicle range predictability, fast-charging safety, and pack longevity. Conventional BMS firmware is polarized between two inadequate paradigms: empiri...

On fractional discrete-time spatio-temporal SIR models

DriftJax: A Differentiable 1-D Drift-Diffusion Solar-Cell Simulator in JAX

DriftJax is a one-dimensional, end-to-end differentiable photovoltaic cell simulator based on the drift-diffusion model and the Beer-Lambert law for optical absorption, programmed in Python using JAX. Gradients of the power conversion efficiency (and any scalar figure of merit) with respect to device design parameters...

The Neuro Stability Number (NSN) Framework: Non-Equilibrium Thermodynamics, Codimension-2 Bifurcations, and Optimal Control of Proteopathic Degeneration.

Proteopathic neurodegeneration, post-traumatic axonal collapse, and chronic ischemic degradation are conventionally categorized as distinct biochemical etiologies and managed via single-target molecular therapies. Here, we present a unified mathematical framework that transcends the static, lesion-centric paradigm by t...

Pretrained diffusion checkpoints for GSS and RSS material datasets

Description This record provides the pretrained CSP diffusion model used by GSS (Generative Structure Search), a framework that combines diffusion generative models with energy-based guidance from machine-learning force fields to search for stable crystal structures. The paper's main experiments target periodic crystal...

TNFR-Python-Engine: Resonant Fractal Nature Theory Implementation

TNFR-Python-Engine is a Python framework for coherent-pattern analysis on graph-coupled networks. The nodal relation dEPI/dt = nu_f DeltaNFR organizes a declared evolution model; pressure, phase, capacity, support and any additional forcing require their own specifications. The engine provides 13 registered structural...

Identifying Memorization of Diffusion Models through p-Laplace Analysis: Estimators, Bounds and Applications

Quantum Fractional Dynamics in Disordered Semiconductor Networks

Classical diffusion models governed by Fick's Second Law rely strictly on integer-order temporal derivatives and the central limit theorem, leading to standard Gaussian particle spatial profiles. However, transport processes operating within disordered quantum networks, multi-qubit semiconductor topologies, and turbule...

Quantum Fractional Dynamics in Disordered Semiconductor Networks

Classical diffusion models governed by Fick's Second Law rely strictly on integer-order temporal derivatives and the central limit theorem, leading to standard Gaussian particle spatial profiles. However, transport processes operating within disordered quantum networks, multi-qubit semiconductor topologies, and turbule...

Replication Data for the manuscript: Adjoint-State Identifiability of Piezo-Tunable Valley Splitting in 2D Magnetic Heterostructures

Title: Replication Data for: Adjoint-State Identifiability of Piezo-Tunable Valley Splitting in 2D Magnetic Heterostructures Description: This repository contains the complete multiscale computational framework and dataset required to reproduce the findings in the manuscript "Adjoint-State Identifiability of Piezo-Tuna...