MatForge — Open Knowledge Hub for Scientific Simulation and Modeling

Reading Time: 4 minutesFiPy is a Python-based framework for solving partial differential equations (PDEs) using the finite volume method. If you’re new to FiPy, the fastest way to “get it” is to run one small example end-to-end and understand what each piece of code is responsible for. In this tutorial, you’ll build a minimal 1D diffusion simulation (think: […]

Reading Time: 6 minutesIn scientific and engineering software, most frustration doesn’t come from hard problems — it comes from unclear problem statements. A ticket that “sounds wrong” might actually describe a missing capability. A request for a “small improvement” might be masking a defect that corrupts results. When teams misclassify tickets, they waste time: developers investigate phantom bugs, […]

Reading Time: 5 minutesFiPy is a finite volume partial differential equation (PDE) solver written in Python and designed to let researchers and engineers express models in a way that closely follows the underlying physics. Many users start by running examples or adapting snippets, but real productivity comes from understanding how FiPy is structured internally and how its major […]

Reading Time: 6 minutesFiPy is a finite volume partial differential equation (PDE) solver written in Python and designed for building, testing, and running PDE-based models with a clean, scriptable workflow. If you’re installing it for the first time, your main goal should be a setup that is stable, reproducible, and easy to upgrade. In practice, that usually means […]

Reading Time: 3 minutesA bug report is not a complaint. It’s a set of instructions and evidence that lets someone else reproduce a problem, understand its impact, and decide what to do next. When bug reports are vague, teams burn time on back-and-forth messages, guesswork, and “can’t reproduce” dead ends. When they’re well written, fixes move faster, priorities […]

Reading Time: 7 minutesThe Finite Volume Method (FVM) is one of the most practical ways to solve partial differential equations (PDEs) in physics and engineering, especially when conservation matters. It’s widely used for fluid flow, heat transfer, diffusion, electrochemistry, and many coupled “multi-physics” problems. The best part is that the core idea is not complicated: instead of chasing […]

Reading Time: 5 minutesTicket-based development is a way to organize work so that every meaningful change has a traceable reason, a clear owner, and a verifiable outcome. Instead of relying on memory, scattered messages, or “just ship it” habits, teams use tickets to create a shared understanding of what is being built, why it matters, and what “done” […]

Reading Time: 3 minutesScientific projects are fundamentally different from typical software or business initiatives. They evolve over long periods, involve high uncertainty, and often combine theory, computation, and experimentation. In such environments, problems are not exceptions—they are the normal state of progress. What determines the success of a scientific project is not the absence of issues, but how […]

Reading Time: 6 minutesIf you work with diffusion, heat transfer, electrochemistry, microstructure evolution, or any system governed by partial differential equations (PDEs), you’ve probably faced the same practical dilemma: you need a solver that is flexible enough to match your model, but not so heavy that every change turns into a week-long refactor. FiPy sits in that “sweet […]

Reading Time: 3 minutesMesoscale Microstructure Simulation Project (MMSP) is a computational framework designed to provide a simple, consistent, and extensible programming interface for grid- and mesh-based methods used to simulate microstructure evolution at the mesoscale. The project addresses a common challenge in computational materials science: enabling researchers to apply a wide range of numerical methods—such as Monte Carlo, […]