Relaxor Antiferroelectric Dynamics for Neuromorphic Computing DOI
Dongliang Yang,

Yinan Lin,

Weiwei Meng

et al.

Advanced Materials, Journal Year: 2025, Volume and Issue: unknown

Published: April 24, 2025

Abstract Relaxor antiferroelectric (AFE) materials display a gradual polarization response and high energy storage density with slowly reverting after removing an external field. This distinctive polarization‐switching behavior closely resembles synaptic plasticity in biological nervous systems, presenting substantial potential for neuromorphic computing applications. Especially, its 2D scenario exhibits unique physical properties maintains stability at atomic thickness due to their antipolar alignment, which effectively eliminates the depolarization field effect. Such stable relaxor AFE offer significant advantages integrating these into modern electronic devices computing. In this study, of novel quaternary layered material, CuBiP₂Se₆ (CBPS), is explored device CBPS broad range light absorption behavior, rendering it outstanding candidate optoelectronic devices. High‐quality synthesized through various characterization techniques are verified. CBPS‐based demonstrate dual‐mode tunable resistance stimulated by both electrical optical inputs, demonstrating capacity perform in‐sensor image restoration tasks. These findings suggest that like could provide robust platform brain‐inspired applications, particularly computing, artificial visual systems.

Language: Английский

2D Spintronics for Neuromorphic Computing with Scalability and Energy Efficiency DOI Creative Commons

Douglas Z. Plummer,

Emily Lynne D'Alessandro,

Aidan Burrowes

et al.

Journal of Low Power Electronics and Applications, Journal Year: 2025, Volume and Issue: 15(2), P. 16 - 16

Published: March 24, 2025

The demand for computing power has been growing exponentially with the rise of artificial intelligence (AI), machine learning, and Internet Things (IoT). This growth requires unconventional primitives that prioritize energy efficiency, while also addressing critical need scalability. Neuromorphic computing, inspired by biological brain, offers a transformative paradigm these challenges. review paper provides an overview advancements in 2D spintronics device architectures designed neuromorphic applications, focus on techniques such as spin-orbit torque, magnetic tunnel junctions, skyrmions. Emerging van der Waals materials like CrI3, Fe3GaTe2, graphene-based heterostructures have demonstrated unparalleled potential integrating memory logic at atomic scale. work highlights technologies ultra-low consumption (0.14 fJ/operation), high switching speeds (sub-nanosecond), scalability to sub-20 nm footprints. It covers key material innovations role spintronic effects enabling compact, energy-efficient systems, providing foundation advancing scalable, next-generation architectures.

Language: Английский

Citations

1
Advances in 2D heterostructures for quantum computing applications: A review DOI
Aminul Islam, Safiullah Khan,

Juhi Jannat Mim

et al.

Inorganic Chemistry Communications, Journal Year: 2025, Volume and Issue: unknown, P. 113980 - 113980

Published: Jan. 1, 2025

Language: Английский

Citations

0
Exotic Photothermal Response in Ti‐Based MXene Optoelectronic Devices DOI Creative Commons
Stefano Ippolito, Francesca Urban, Paolo Samorı́

et al.

Advanced Electronic Materials, Journal Year: 2025, Volume and Issue: unknown

Published: April 14, 2025

Abstract MXenes represent one‐of‐a‐kind materials to devise radically novel technologies and achieve breakthroughs in optoelectronics. To exploit their full potential, precise control over the influence of stoichiometry on optical thermal properties, as well device performance, must be achieved. Here, characteristics optoelectronic devices based Ti 3 C 2 T x CT thin films are uncovered, highlighting striking difference photothermal responses laser irradiation under different experimental conditions. Even though absorption coefficients at 450 nm comparable, excitation relaxation phenomena display markedly kinetics: show a strong asymmetry during heating‐cooling cycle, with heat dissipation kinetics being three orders magnitude slower than strongly influenced by environmental The findings expected stimulate fundamental investigations into response open exciting prospects for use printed wearable optoelectronics, including memory neuromorphic computing.

Language: Английский

Citations

0
Evolution of Atomistic Boron Clusters on Borophene Monolayers on Au(111) DOI
Umashankar Rajput, Md. Faiz Akhtar,

Giriraj Vyas

et al.

The Journal of Physical Chemistry C, Journal Year: 2025, Volume and Issue: unknown

Published: April 8, 2025

Language: Английский

Citations

0
Relaxor Antiferroelectric Dynamics for Neuromorphic Computing DOI
Dongliang Yang,

Yinan Lin,

Weiwei Meng

et al.

Advanced Materials, Journal Year: 2025, Volume and Issue: unknown

Published: April 24, 2025

Abstract Relaxor antiferroelectric (AFE) materials display a gradual polarization response and high energy storage density with slowly reverting after removing an external field. This distinctive polarization‐switching behavior closely resembles synaptic plasticity in biological nervous systems, presenting substantial potential for neuromorphic computing applications. Especially, its 2D scenario exhibits unique physical properties maintains stability at atomic thickness due to their antipolar alignment, which effectively eliminates the depolarization field effect. Such stable relaxor AFE offer significant advantages integrating these into modern electronic devices computing. In this study, of novel quaternary layered material, CuBiP₂Se₆ (CBPS), is explored device CBPS broad range light absorption behavior, rendering it outstanding candidate optoelectronic devices. High‐quality synthesized through various characterization techniques are verified. CBPS‐based demonstrate dual‐mode tunable resistance stimulated by both electrical optical inputs, demonstrating capacity perform in‐sensor image restoration tasks. These findings suggest that like could provide robust platform brain‐inspired applications, particularly computing, artificial visual systems.

Language: Английский

Citations

0