materials-engineering

Thermodynamics powered by Machine Learning

A bilingual (EN/ZH) 4-stage research workflow skill for Claude Code and Codex CLI — topic refinement, urgency assessment, route evaluation, and experiment planning with citation verification

Materials that are dependent on conditions

Archived: this department view now lives in the unified CMU Engineering research map.

Study of molecular motion of Glycerol using NMR modeling and simulations

Thermo-metallurgical FEM (Abaqus) predicting phase transformation in a quenched S5140 steel gear - JMAK + Koistinen-Marburger kinetics, parametric cooling-rate study. IIT Madras.

Integrated thermal, kinetic & scheduling framework that cuts a steelmaking Ladle Furnace cycle 70 → 37.6 min — coupling queueing theory, transient heat transfer, dephosphorisation kinetics & Monte Carlo. IIT Madras × Amalgam Steel.

Public-source systems-engineering commentary on Starship's stainless-steel route, reuse governance, and safety-boundary thinking.

Python-based GUI application for Dynamic Mechanical Analysis (DMA) data processing, visualization and automated reporting.

Microstructure vision-based porosity analysis

PressureX is an engineering evaluation package for a passive layered structural mitigation concept using shear-thickening fluid behavior to broaden impulsive loads and reduce peak transmitted response in high-vibration aerospace structures. Targets are design-intent until validated.

Comprehensive knowledge base on crystal growth physics, growth methods, numerical modeling, simulation, software, leading researchers, and references for crystal growth science and engineering.

Brass tensile test analysis using MATLAB: stress–strain visualization, elastic-region fitting, yield determination, and mechanical properties extraction.

Open-source Arabic assistant for ceramic manufacturing defect diagnosis, quality control, and OpenAlex-powered research summaries.

Metal LPBF process documentation from my Uniformity Labs Metal 3D Print Specialist role — AlSi10Mg, Ti-6Al-4V, 316/304 SS, and Inconel 625 + 718, printed on SLM Solutions SLM 125 and SLM 280 machines.

Interactive heat treatment simulator for predicting alloy phase transformation and hardness using Python, JavaScript, and CCT-based modeling.

A small-scale Extract-Transform-Load framework focused on materials characterization

Explore, filter, and visualize engineering material properties with an Ashby-inspired Python CLI.

[11] You don't choose Ridge or Lasso - you let the data decide.

Python-based coating robustness and machining severity decision-support framework