AI for EPC, code interpretation, worked examples, and honest tool comparisons — written by engineers, reviewed by engineers.
A grounded look at where AI is showing real results in CAD, FEA, optimization, and agentic engineering workflows in 2026, and where DeepMechanix fits within it for EPC and pressure vessel design.
A working guide to accelerated and autonomous materials discovery: the process–structure–property paradigm, how AI compresses the search, and the self-driving labs (A-Lab, Radical AI, Periodic Labs, Medra) closing the loop between hypothesis and matter.
A comprehensive technical reference for engineers, inspectors, and industry professionals — the disasters that wrote the rules, the physics that makes them work, and what comes next.
AI fits the EPC workflow wherever engineers reproduce codified knowledge or regenerate documents by hand — estimating, engineering calculations, procurement specs, and as-built control. A stage-by-stage map.
EPC is a project-delivery model where one contractor handles engineering, procurement, and construction under a single contract, usually for a fixed price. What each phase involves, and why documentation governs the whole thing.
The full path from customer datasheet to stamped vessel: materials, design-by-rule calcs, AI review, fabrication hold points, hydrotest, and the U-1A dossier.
The full path from customer datasheet to stamped vessel: materials, design-by-rule calcs, AI review, fabrication hold points, hydrotest, and the U-1A dossier.
COMPRESS, PV Elite, AutoPIPE Vessel, DesignCalcs, VES, NextGen, and DeepMechanix compared on price, codes, and report quality — list prices verified June 2026.
Division 1 is design-by-rule with higher margins; Division 2 trades engineering rigor for thinner walls. Margins, classes, costs, and when each wins.
How a century of numerical mathematics is being reimagined by deep learning — and why it changes everything for engineering.
