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Monday, 6 Jul 2026

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· Applied Physics · 06 · 07 · 2026

Reaction-Diffusion Patterns Reveal Vulnerabilities in Deep Neural Networks

A recent study has uncovered a structural vulnerability in deep neural networks (DNNs) by employing reaction-diffusion patterns, known as morphogenic patterns. These patterns, inspired by biological form-generating processes, have enabled the generation of adversarial examples that deceive DNNs with remarkable effectiveness.…

§ Today’s briefing

5 dispatches · 06 · 07 · 2026

New Hybrid Motor Reduces Rare-Earth Use in Electric Vehicles

Researchers have developed a new multi-flux barrier interior permanent magnet (IPM) motor design that significantly reduces reliance on rare-earth materials. This breakthrough is crucial for the electric vehicle industry, which currently heavily depends on these scarce and expensive materials. The new motor combines low-cost ferrite magnets with a reduced amount of neodymium magnets, achieving a balance between performance and sustainability.

The proposed design, termed a hybrid-magnet multi-flux barrier IPM motor, optimizes the configuration of magnets and flux barriers to maximize torque density and efficiency. The primary goal is to maintain competitive performance with conventional IPM motors, which use a high proportion of neodymium magnets, while drastically decreasing the amount of this material. This is achieved through an intelligent arrangement that leverages the magnetic properties of both types of magnets.

Researchers have developed a new multi-flux barrier interior permanent magnet (IPM) motor design that significantly reduces reliance on rare-earth materials.
§ Technical sheet
Source
Nature
Category
Applied Physics
Edition
47
Date
2026-07-06
Reading
1 min
Origin
Source ↗

§ arXiv briefing

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