Category Simulation & Modeling Projects

Reading Time: 7 minutesTL;DR ParaView is the go-to open-source tool for visualizing materials science simulation data. Whether you’re working with phase-field models, molecular dynamics (LAMMPS), or electronic structure calculations (VASP), ParaView transforms raw numerical output into publication-ready 3D visuals. This guide covers data import, essential filters, rendering techniques, and export workflows specifically for materials science applications. Why ParaView […]

Reading Time: 10 minutesHDF5 is the de facto standard for storing large-scale scientific simulation data. Its hierarchical structure, parallel I/O capabilities via MPI, and built-in compression make it ideal for high-performance computing environments. However, improper use—especially poor chunking choices and incorrect parallel access patterns—can lead to severe performance degradation or data corruption. This guide covers HDF5 architecture, parallel […]

Reading Time: 8 minutesBattery electrochemistry modeling using partial differential equations (PDEs) provides high-fidelity simulation of lithium-ion cell behavior. The Single Particle Model (SPM) offers computational efficiency for real-time applications, while the Doyle-Fuller-Newman (DFN) model captures full electrolyte dynamics for high-power scenarios. This guide covers the governing equations, implementation with FiPy, and validation techniques for both approaches. Introduction Lithium-ion […]

Reading Time: 7 minutesEditor’s note: This restored technical overview has been reconstructed from archival project traces, package descriptions, and related scientific computing references to preserve the historical and workflow context of the Illuminator library. Illuminator was not built to make simulation output merely look better. It addressed a more practical problem: how to inspect, store, and move field […]

Reading Time: 6 minutesComputational materials science has transformed how scientists discover, design, and optimize materials for modern technologies. Instead of relying solely on expensive and time-consuming laboratory experiments, researchers now use powerful simulations, mathematical models, and data-driven techniques to predict how materials behave under real-world conditions. These virtual approaches accelerate innovation, reduce development costs, and allow engineers to […]

Reading Time: 14 minutesEditor’s note: This technical overview has been reconstructed from archived materials and modern boundary element method literature to preserve the historical and methodological context of the Julian solver. The Julian Boundary Element Code is an open-source computational tool developed for solving engineering and physical problems using the Boundary Element Method (BEM). Originally created by Adam […]

Reading Time: 4 minutesModern materials science increasingly relies on predictive modeling to understand how microstructures form, evolve, and ultimately determine macroscopic properties. From dendritic solidification in alloys to crack propagation in structural materials, many physical phenomena are governed by moving interfaces between phases. Accurately describing these interfaces is one of the central challenges in computational materials science. Phase-field […]

Reading Time: 3 minutesMathematical equations are powerful tools for describing the world. They encode relationships between variables, express conservation laws, and formalize physical, biological, financial, or engineering processes. However, equations alone are not sufficient for real-world prediction or decision-making. To transform mathematical models into actionable insights, we need simulations. The journey from equations to simulations is not a […]

Reading Time: 5 minutesMathematical models are one of the most powerful tools humans have for understanding the physical world. From predicting the motion of planets to designing bridges, simulating climate, or controlling electronic devices, models translate real-world phenomena into equations that can be analyzed, tested, and used for prediction. While the mathematics behind these models can become complex, […]

Reading Time: 7 minutesMaterials modeling is the practice of using mathematics and computation to predict how a material behaves—how it deforms, conducts heat, transports atoms, forms microstructures, or reacts under different conditions. If you’re new to the field, the hardest part is not the equations. It’s learning how to think across scales and how to pick a model […]