In-depth understanding of the band alignment and interface states scenario in Bi2O2Se/SrTiO3 ultrathin heterojunction DOI
Ke Zhang,

Yusen Feng,

Lei Hao

et al.

Rare Metals, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 21, 2025

Language: Английский

Low-dimensional nanostructures for monolithic 3D-integrated flexible and stretchable electronics DOI
Qilin Hua, Guozhen Shen

Chemical Society Reviews, Journal Year: 2024, Volume and Issue: 53(3), P. 1316 - 1353

Published: Jan. 1, 2024

Low-dimensional nanostructures, with their small size, unique characteristics, flexible/elastic adaptability, and effective vertical stacking capability, play a crucial role in advancing monolithic 3D-integrated flexible/stretchable systems.

Language: Английский

Citations

63

Two‐Terminal Perovskite Optoelectronic Synapse for Rapid Trained Neuromorphic Computation with High Accuracy DOI
Linqi Guo, Haoxuan Sun, Liangliang Min

et al.

Advanced Materials, Journal Year: 2024, Volume and Issue: 36(27)

Published: March 30, 2024

Abstract Emerging neural morphological vision sensors inspired by biological systems that integrate image perception, memory, and information computing are expected to transform the landscape of machine artificial intelligence. However, stable reconfigurable light‐induced synaptic behavior always relies on independent gateport modulation. Despite its potential, limitations uncontrollable defects ionic characteristics have led simpler, smaller, more integration‐friendly two‐terminal devices being used as sidelines. In this work, synergy between ion migration barriers readout voltage is proven be key realizing stable, reconfigurable, precisely controllable postsynaptic current in devices. Following same mechanism, optical electrical signal synchronous triggering proposed serve a preprocessing method achieve recognition accuracy 96.5%. Impressively, gradual accumulation during training process induces photocurrent evolution, serving reference for dynamic learning rate boosting 97.8% just 10 epochs. The PSC modulation potential under short pulse 20 ns also revealed. This optoelectronic device with computation capabilities can promote development new future photonic circuits vision.

Language: Английский

Citations

22

Flexible Zn‐TCPP Nanosheet‐Based Memristor for Ultralow‐Power Biomimetic Sensing System and High‐Precision Gesture Recognition DOI
Yilong Wang, Jie Su,

Guoyao Ouyang

et al.

Advanced Functional Materials, Journal Year: 2024, Volume and Issue: 34(26)

Published: Feb. 28, 2024

Abstract The flexible biomimetic sensory system inspired by biology exhibits learning, memory, and cognitive behavior toward external stimuli, providing a promising direction for the future development of artificial intelligence industry. In this work, Zn‐TCPP (TCPP: tetrakis (4‐carboxyphenyl) porphyrin) based memristor with ultra‐low both operating voltage (≈80 mV) power consumption (0.39 nW) that simulates typical synaptic plasticities, under continuously adjustable pulses (50 mV). properties are well maintained even when bending 1000 times at radius 5 mm. Furthermore, bionic sensing integrated cotton fibre piezoresistive sensor can remember pressure deformation current, thus simulate learning‐forgetting‐relearning characteristics mechanical stimuli (power supply = 100 Especially, achieves high recognition rate 97% gestures through self‐built datasets neural network calculations remains level influence 10% Gaussian noise (80%) mm state (91%). Consequently, ultralow‐power shows great potential in field multiple modules, paving way low‐power robots future.

Language: Английский

Citations

21

Artificial synapse based on a tri-layer AlN/AlScN/AlN stacked memristor for neuromorphic computing DOI

Xinhuan Dai,

Qilin Hua, Chun‐Sheng Jiang

et al.

Nano Energy, Journal Year: 2024, Volume and Issue: 124, P. 109473 - 109473

Published: March 9, 2024

Language: Английский

Citations

21

Two-Dimensional Materials for Brain-Inspired Computing Hardware DOI
Shreyash Hadke, Min‐A Kang,

Vinod K. Sangwan

et al.

Chemical Reviews, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 2, 2025

Recent breakthroughs in brain-inspired computing promise to address a wide range of problems from security healthcare. However, the current strategy implementing artificial intelligence algorithms using conventional silicon hardware is leading unsustainable energy consumption. Neuromorphic based on electronic devices mimicking biological systems emerging as low-energy alternative, although further progress requires materials that can mimic function while maintaining scalability and speed. As result their diverse unique properties, atomically thin two-dimensional (2D) are promising building blocks for next-generation electronics including nonvolatile memory, in-memory neuromorphic computing, flexible edge-computing systems. Furthermore, 2D achieve biorealistic synaptic neuronal responses extend beyond logic memory Here, we provide comprehensive review growth, fabrication, integration van der Waals heterojunctions optoelectronic devices, circuits, For each case, relationship between physical properties device emphasized followed by critical comparison technologies different applications. We conclude with forward-looking perspective key remaining challenges opportunities applications leverage fundamental heterojunctions.

Language: Английский

Citations

5

Recent Advances in the Growth Strategies, Multifunctional Properties, and Emerging Applications of Two‐Dimensional Non‐van der Waals Bismuth Oxychalcogenides and Prospective Heterostructures DOI Creative Commons
Md Tarik Hossain, Tadasha Jena, P. K. Giri

et al.

Small Structures, Journal Year: 2024, Volume and Issue: 5(8)

Published: Jan. 29, 2024

With the advent of two‐dimensional (2D) van der Waals (vdW) materials, many non‐van (nvdW) materials have been synthesized and are being exploited for novel applications. Bismuth oxychalcogenides (Bi 2 O X; X is S, Se, Te), a nvdW series with moderate band gap semiconductors, possess high carrier mobility air stability. The layers in Bi stay formal bond, giving rise to distinct structural, optical, thermal, electronic properties different from conventional vdW materials. Herein, these properties, their synthesis, transfer methods 2D examined. photodetector application heterostructure (HS) surveyed special attention Se. Beyond photodetector, other emerging fields, such as gas‐bio sensors, optoelectronic imaging, integrated memory, solar cells, photothermal technology looked over. Based on ongoing research challenges, strategies future innovations presented basics miniaturized In view offsets type HS 94 vdW‐nvdW sets proposed. This review will guide studies meet increasing demands multifunctional applications laboratory industrial scale.

Language: Английский

Citations

16

Recent Advances in Tactile Sensory Systems: Mechanisms, Fabrication, and Applications DOI Creative Commons

Jianguo Xi,

Huaiwen Yang, Xinyu Li

et al.

Nanomaterials, Journal Year: 2024, Volume and Issue: 14(5), P. 465 - 465

Published: March 4, 2024

Flexible electronics is a cutting-edge field that has paved the way for artificial tactile systems mimic biological functions of sensing mechanical stimuli. These have an immense potential to enhance human-machine interactions (HMIs). However, still faces formidable challenges in delivering precise and nuanced feedback, such as achieving high sensitivity emulate human touch, coping with environmental variability, devising algorithms can effectively interpret data meaningful diverse contexts. In this review, we summarize recent advances sensory systems, piezoresistive, capacitive, piezoelectric, triboelectric sensors. We also review state-of-the-art fabrication techniques Next, focus on applications HMIs, intelligent robotics, wearable devices, prosthetics, medical healthcare. Finally, conclude future development trends

Language: Английский

Citations

16

Enhanced Memristive Performance via a Vertically Heterointerface in Nanocomposite Thin Films for Artificial Synapses DOI
Guoliang Wang, Fei Sun, Shiyu Zhou

et al.

ACS Applied Materials & Interfaces, Journal Year: 2024, Volume and Issue: 16(9), P. 12073 - 12084

Published: Feb. 21, 2024

Memristors can be used to mimic synaptic behavior in artificial neural networks, which makes them a key component neuromorphic computing and holds promise for advancing the field. In this study, memory device based on ZnO-BaTiO

Language: Английский

Citations

13

Advances in two-dimensional heterojunction for sophisticated memristors DOI

Shiwei Qin,

Ye Tao, Ting Hu

et al.

Materials Today Physics, Journal Year: 2024, Volume and Issue: 41, P. 101336 - 101336

Published: Jan. 11, 2024

Language: Английский

Citations

10

Scalable Layer‐Controlled Oxidation of Bi2O2Se for Self‐Rectifying Memristor Arrays With sub‐pA Sneak Currents DOI
Yingjie Zhao, Zhefeng Lou, Jiaming Hu

et al.

Advanced Materials, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 9, 2024

Abstract Smart memristors with innovative properties are crucial for the advancement of next‐generation information storage and bioinspired neuromorphic computing. However, presence significant sneak currents in large‐scale memristor arrays results operational errors heat accumulation, hindering their practical utility. This study successfully synthesizes a quasi‐free‐standing Bi 2 O Se single‐crystalline film achieves layer‐controlled oxidation by developing UV‐assisted intercalative oxidation, resulting β‐Bi SeO 5 /Bi heterostructures. The demonstrates remarkable self‐rectifying resistive switching performance (over 10 ON/OFF rectification ratios, as well nonlinearity) both nanoscale (through conductive atomic force microscopy) microscale array) regimes. Furthermore, potential scalable production memristor, achieving sub‐pA to minimize cross‐talk effects high‐density is demonstrated. also exhibit ultrafast (sub‐100 ns) low power consumption (1.2 pJ) characterized pulse‐mode testing. findings suggest synergetic effect interfacial Schottky barriers oxygen vacancy migration mechanism, elucidated through controllable thickness modulation theoretical ab initio calculations.

Language: Английский

Citations

10