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The Intelligent Simulation Review

September editionSeptember 2026

The first principles issue

The next decision should not start from zero.

The strongest decisions begin with work that survives the moment: models with context, evidence with limits, and results ready for the next question.

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Editor’s brief

A field guide to the science behind better decisions.

Intelligent simulation brings physical models, evidence, computation, and expert judgment into a continuous way of learning. This edition maps the field from its foundations to the decisions it can change.

Understand the system. Test the possibilities. Carry the evidence forward.

The first principles issue

This month’s reading path

Build the whole picture.

Understand the field. See it at work. Learn what makes a result worth trusting.

Research shelf

Go to the work shaping the field.

Gartner, NIST, and the National Academies offer three lenses on what intelligent simulation is becoming and what trustworthy practice demands.

Gartner

How Gartner Frames Intelligent Simulation

A category view of simulation twins, scenario planning, prediction, and the changing role of intelligence in industry.

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NIST

Digital Twins for Advanced Manufacturing

Why trustworthy digital twins depend on verification, validation, uncertainty, and shared standards.

Read the program

National Academies

Modeling and Simulation for Resilient Communities

How modeling and simulation strengthen planning for complex, interconnected, and resilient systems.

Read the chapter
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A closer look

The Multiplier Effect

Scientific capability multiplies when it reaches beyond a handful of institutions. See a national strategy for connecting discovery, production, and independent enterprise.

Explore the national strategy

Applied platforms

Six domains. Six different realities.

Explore how intelligent simulation takes shape when the physics, constraints, and decisions change.

The Intelligent Simulation Review

Follow the field as it takes shape.

One considered edition each month, connecting first principles, consequential applications, and the research shaping what comes next.