Physics Before Prediction
Explore technical articles, computational studies, and engineering perspectives across CFD, coupled physics simulation, thermal and process engineering, optimization, and Fourier Neural Operators.
Engineering Case Studies
Applied studies that connect a physical system, a modeling approach, and an engineering conclusion.
Engineering Intelligence Begins with Conservation Laws, Not Software
M² Engineering
An ammonia adsorption heat pump model that starts from conservation laws to clarify energy and mass balances before software choices.
Mapping the Design Space of an Electrified Ammonia Cracking Reactor
M² Engineering
A surrogate trained on 103 high-fidelity reactor simulations was then used to evaluate about 7,500 design points inside a defined parameter space.
Why Raising Temperature Alone Does Not Solve Ammonia Cracking
M² Engineering
Why temperature alone does not fix ammonia cracking: reactor sizing, conversion, and energy demand must be treated together.
Semiconductor Wafer Cooling
M² Engineering
Compares wafer cooling architectures for plasma-induced hotspots and shows how manifold design affects temperature uniformity on 300 mm wafers.
AI for Engineering
Arguments and methods for using neural operators and AI-assisted workflows without displacing physical reasoning.
Building Serious Engineering AI Workflows Without Expensive Subscriptions
M² Engineering
Serious engineering AI workflows depend on problem framing, data discipline, and validation more than on subscription tools.
Physics-Informed Neural Operators: Why Engineering AI Is Moving Beyond PINNs
M² Engineering
Why neural operators are advancing beyond PINNs for engineering field prediction and design-space evaluation.
AI Is a Tool That Humans Will Use to Replace Other Humans
M² Engineering
AI changes who can execute technical work quickly, but advantage still belongs to engineers who combine computation with physical understanding.
Engineering Perspectives
Essays on judgment, system-level thinking, and where engineering time is actually spent.
The Best Component Can Still Produce the Wrong System
M² Engineering
Shows why a locally optimized component can still fail system targets when interactions, constraints, and operating envelopes are ignored.
Where Engineering Time Goes
M² Engineering
Most engineering time is spent framing problems, checking assumptions, and interpreting results, not generating plots.
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