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Recent Articles

Physics-Enhanced Machine Learning for High-Temperature Heat Pump Compressor Design

Physics-Enhanced Machine Learning (PEML) accelerates High-Temperature Heat Pump compressor optimization by coupling 3D Inverse Design with surrogate...

Physics-Enhanced Machine Learning for Design of a Rocket Engine Turbopump

This blog describes how a Machine Learning algorithm can successfully design a high performance, single component rocket engine turbopump. The...

Designing a Micro Gas Turbine for Standby Emergency Power Generation

ADT and Siemens have partnered to demonstrate a rapid, blank-page-to-concept design workflow for an emergency Micro Gas Turbine (MGT).

By coupling ...

What is Physics-Enhanced Machine Learning (PEML)?

Physics-Enhanced Machine Learning is the only way to create an expert system for the task of detailed, workable and realizable engineering design,...

TURBOdesign Suite 2026.1 Release

The 2026.1 release advances Physics-Enhanced Machine Learning (PEML) and universal CAE integration, allowing engineers to build highly accurate...

Blade Loading, Inverse Design and Shape Parameterization

Blade Loading Defined: Fundamentally - the pressure difference between the pressure and suction sides of a blade along a meridional pathline. It...

Machine Learning for Wastewater Pump Design

This blog describes how tools from Advanced Design Technology (ADT) use a combination of 3D Inverse Design and Machine Learning (specifically...

Maximizing Refrigeration Performance with ML & 3D Inverse Design

Explore how 3D Inverse Design and Machine Learning are replacing conventional workflows to deliver a new benchmark in refrigeration cycle efficiency...

TURBOdesign Suite Release 2025.2

The 2025.2 release is focused on speed, automation, and manufacturing readiness for turbomachinery design.

  • Faster Optimization: Instantly re-run...

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