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
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Updated
May 24, 2026 - Python
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
Thermodynamics powered by Machine Learning
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.
Explore, filter, and visualize engineering material properties with an Ashby-inspired Python CLI.
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.
Interactive web app for calculating alloy element masses in steel production.
Brass tensile test analysis using MATLAB: stress–strain visualization, elastic-region fitting, yield determination, and mechanical properties extraction.
Interactive heat treatment simulator for predicting alloy phase transformation and hardness using Python, JavaScript, and CCT-based modeling.
Open-source Arabic assistant for ceramic manufacturing defect diagnosis, quality control, and OpenAlex-powered research summaries.
Interactive stress–strain curve analyzer for automatic mechanical property evaluation using Python and web visualization.
[11] You don't choose Ridge or Lasso - you let the data decide.
Material property database for Grade 91 (9Cr-1Mo-V-Nb) steel. Larson-Miller creep rupture, Norton power law, tensile correlations, and Coffin-Manson strain-life from published NIMS/ORNL sources.
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