Nanomaterials Unleashed: From Quantum Materials to Brain-Inspired Computing
A special issue of Nanomaterials (ISSN 2079-4991). This special issue belongs to the section "Nanoelectronics, Nanosensors and Devices".
Deadline for manuscript submissions: 10 October 2025 | Viewed by 62
Special Issue Editors
Interests: neuromorphic computing based on ferroelectric device, spintronic devices; spintronics devices and materials for non-volatile memory and logics; heterostructure ferroelectric/ferromagnetic multiferroics; nanostructured optical and magnetic materials; magnetic and electric properties of strong electron correlated oxide materials
Interests: resistive switching; memristor technology; spiking oscillators; neural dynamics; nonlinear phenomena; coupled systems; synchronization; thermal dynamics; heat transfer; heat interaction; strongly correlated electron systems; raman spectroscopy; pump probe
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleague，
The unprecedented advancements in quantum materials and nanomaterials have unlocked new possibilities in the realm of semiconductors and electronic devices. This proposal explores the intersection of nanoscience and nanotechnology to design and engineer nanostructures that exhibit novel transport phenomena, such as nonlinear dynamics and resistive switching, which are essential for next-generation energy-efficient devices.
This Special Issue emphasizes the synthesis, characterization, and application of novel quantum materials and nanodevices, integrating experimental and computational approaches to understand their fundamental properties. A particular focus is placed on energy-efficient devices for bio-inspired computing paradigms, where human-brain-inspired mechanisms guide the development of intelligent systems based on quantum materials and nanomaterials. The inherent properties of these materials—such as scalability, enhanced conductivity, sensitivity to external stimuli, and adaptive behavior—are critical to advancing energy-efficient, high-performance devices.
By targeting applications in neuromorphic computing and sustainable electronics, this Special Issue aligns with the broader goals of Nanomaterials to address fundamental challenges while driving practical applications. It highlights the convergence of nanotechnology, materials science, device physics, and computation, providing a comprehensive framework for future scientific and technological innovation.
Prof. Dr. Jingsheng Chen
Dr. Erbin Qiu
Guest Editors
Manuscript Submission Information
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Keywords
- quantum materials
- nanomaterials
- semiconductors
- electronic devices
- resistive switching
- nonlinear dynamics
- nanoscience and nanotechnology
- bio-inspired computing
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