Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Search research articles

Related Experiment Video

Updated: Jun 12, 2026

Hybrid Printing for the Fabrication of Smart Sensors

Hybrid Printing for the Fabrication of Smart Sensors

Published on: January 31, 2019

Machine-Learning-Enhanced Printed Vertical Magnetoresistive Sensors for Transparent, Flexible, Multimodal Interactive

Rui Xu¹, Guannan Mu¹, Oleksandr V Pylypovskyi¹

¹Institute of Ion Beam Physics and Materials Research, Helmholtz-Zentrum Dresden-Rossendorf e.V., Dresden, Germany.

Advanced Science (Weinheim, Baden-Wurttemberg, Germany)

|June 11, 2026

Summary

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Sample Preparation and Resistivity Measurements for Operando Transmission Electron Microscopy During Heating and Electrical Biasing.

Journal of visualized experiments : JoVE·2026

Same author

Corrigendum to "The Sarcoptes scabiei Kazal-type inhibitor SsKaSPI exhibits elastase-inhibitory activity and modulates neutrophil extracellular trap formation" [Vet. Parasitol. 346 (2026) 110837].

Veterinary parasitology·2026

Same author

Atomic-scale regulation of ion motion and phonon scattering: ALD-driven interface engineering for stabilizing β-Zn<sub>4</sub>Sb<sub>3</sub>.

Science advances·2026

Same author

The Sarcoptes scabiei Kazal-type inhibitor SsKaSPI exhibits elastase-inhibitory activity and modulates neutrophil extracellular trap formation.

Veterinary parasitology·2026

Same author

Intravenous administration of an engineered AAV9-gene-silencing vector suppresses human SOD1 and extends survival in an ALS mouse model.

Nature communications·2026

Same author

Hybrid constitutive law with machine learning for sintering of advanced ceramics.

Scientific reports·2026

Researchers developed printable magnetoresistive sensors using functional inks and additive manufacturing. These eco-responsible sensors offer enhanced intelligence and optical transparency for next-generation electronics.

Area of Science:

Materials Science
Nanotechnology
Electronics Engineering

Background:

Next-generation electronic systems require magnetoresistive sensors with environmental compatibility, advanced functionality, and intelligence.
Current fabrication methods for magnetoresistive sensors can be energy-intensive and generate material waste.

Purpose of the Study:

To demonstrate a synergistic strategy for developing advanced magnetoresistive sensors.
To address challenges in environmental compatibility, functionality, and intelligence in a unified manner.
To create eco-responsible, printable, and intelligent magnetic sensing platforms.

Main Methods:

Rational design of functional inks for additive manufacturing of fully printable magnetoresistive sensors.
Utilizing magnetic-field guidance during printing for vertical nanowire alignment and out-of-plane architecture.

Keywords:

additive fabrication flexible electronics human‐machine interface machine learning magnetoresistive sensor transparent electronics

More Related Videos

Microfluidic Channel-Based Soft Electrodes and Their Application in Capacitive Pressure Sensing

Microfluidic Channel-Based Soft Electrodes and Their Application in Capacitive Pressure Sensing

Published on: March 17, 2023

Related Experiment Videos

Last Updated: Jun 12, 2026

Hybrid Printing for the Fabrication of Smart Sensors

Hybrid Printing for the Fabrication of Smart Sensors

Published on: January 31, 2019

Microfluidic Channel-Based Soft Electrodes and Their Application in Capacitive Pressure Sensing

Microfluidic Channel-Based Soft Electrodes and Their Application in Capacitive Pressure Sensing

Published on: March 17, 2023

Integrating machine-learning algorithms and system-level optimization for enhanced sensing capabilities.

Main Results:

Achieved substantially reduced energy consumption and material waste through additive manufacturing.
Developed an out-of-plane sensor architecture with exceptional optical transparency and mechanical robustness.
Enabled robust multi-pattern recognition using a single sensing element via machine learning, without sensor matrices.

Conclusions:

The proposed magnetoresistive sensors offer an eco-responsible platform for next-generation imperceptible and intelligent magnetic sensing.
Synergistic integration of device, algorithm, and system levels addresses key demands of future electronic systems.
Additive manufacturing and machine learning integration pave the way for advanced, transparent, and flexible magnetic sensing solutions.