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Monolithically-Fabricated All-2D PdSe2 Bendable Arrays With Seamless Interfaces for Multifunctional
Alireza Ghanipour1, Md Golam Kaium1,2, Changhyeon Yoo2
1Department of Materials Science and Engineering, University of Central Florida, Orlando, Florida, USA.
Small (Weinheim an Der Bergstrasse, Germany)
|August 10, 2026
Summary
Mechanically compliant all-two-dimensional (2D) palladium diselenide (PdSe2) optoelectronic platforms overcome silicon limitations. These flexible devices enable novel applications in neuromorphic computing and adaptive electronics.
Area of Science:
- Materials Science
- Nanotechnology
- Condensed Matter Physics
Background:
- Miniaturization of electronic devices faces challenges in contact resistance and mechanical rigidity with silicon technology.
- Alternative material systems and processing strategies are needed for sub-nanometer electronic nodes.
Purpose of the Study:
- To develop mechanically compliant all-two-dimensional (2D) optoelectronic platforms using palladium diselenide (PdSe2) layers.
- To explore the potential of these platforms for flexo-opto-electronic applications, including neuromorphic computing.
Main Methods:
- Wafer-scale 2D PdSe2 layers were synthesized on flexible polyimide (PI) at low temperatures.
- Thickness-modulated transport properties of PdSe2 were utilized to create 2D/2D channel/electrode interfaces.
- Anisotropic strains were introduced to investigate flexoelectricity-driven current modulation.
Main Results:
- PdSe2 layers exhibited thickness-dependent transport (semiconducting vs. metallic), enabling seamless 2D/2D interfaces.
- Optically modulated and strain-invariant synaptic characteristics were demonstrated for flexible neuromorphic computing.
- Flexoelectricity-driven current modulation with bending-orientation-dependent directionality and reversibility was observed.
Conclusions:
- 2D PdSe2 layers offer a scalable and multifunctional system for advanced electronic devices.
- The developed platforms provide a promising route toward emerging mechanically adaptive device technologies.
- This work opens new avenues for flexible electronics and neuromorphic computing.