Summary

S.NO

Title

Journal

Published date

1

Direct observation of intrinsic room-temperature ferroelectricity in 2D layered CuCrP2S6

Nature Communications

11 November 2023

2

Deciphering the ultra-high plasticity in metal monochalcogenides

Nature Materials

08 January 2024

3

Flexoelectric manipulation of ferroelectric polarization in self-strained tellurium

Science Advances

01 August 2025

4

An inorganic-blended p-type semiconductor with robust electrical and mechanical properties

Nature Materials

01 August 2023

5

Fused computing and storage in a 2D transistor

Nature Nanotechnology

30 May 

2019

6

Improving carrier mobility in two-dimensional semiconductors with rippled materials

Nature Electronics

09 June 

2022

7

Spectroscopy signatures of electron correlations in a trilayer graphene/hBN moiré superlattice

Science

17 Mar 

2022

8

Van der Waals heterostructures

Nature

24 July 

2013

9

Room temperature near unity spin polarization in 2D Van der Waals heterostructures

Nature Communications

07 September 2020

10

Near Unity Polarization of Valley Dependent Second-Harmonic Generation in Stacked TMDCs layers and Heterostructures at Room Temperature

ACS Nano

12 June 

2020

11

Realization of fractional-layer transition metal dichalcogenides

Nature Communications

17 April 

2025

12

Unraveling the Role of Interfacial Interactions in Electrical Contacts of Atomically Thin Transition-Metal Dichalcogenides

ACS Nano

23 January 2025

13

Bright and stable anti-counterfeiting devices with independent stochastic processes covering multiple length scales

Nature Communications

08 January 2025

14

Strong-interaction-driven quadrupolar-to-dipolar exciton transitions in a trilayer moiré superlattice

Nature Photonics

21 August 2025

15

Exciton Superposition across Moiré States in a Semiconducting Moiré Superlattice

Nature Communications

19 August 2023

16

Molecular engineering of organic–inorganic hybrid perovskites quantum wells

Nature Chemistry

11 November 2019

17

Metaplasticity-Enabled Graphene Quantum Dot Devices for Mitigating Catastrophic Forgetting in Artificial Neural Networks

Advanced Materials

08 December 2024

18

Reversible Amorphous–Crystalline Phase Transformation in an Ultrathin van der Waals FeTe System

ACS AMI

02 October 2023

19

Random resistive memory-based deep extreme point learning machine for unified visual processing

Nature Communications

23 January 2025

20

Topology optimization of random memristors for input-aware dynamic SNN

Science Advances

16 April 2025

21

Semantic memory-based dynamic neural network using memristive ternary CIM and CAM for 2D and 3D vision

Science Advances

14 August 2024




Direct observation of intrinsic room-temperature ferroelectricity in 2D layered CuCrP2S6

Weng Fu Io, Sin -Yi Pang, Lok Wing Wong, Yuqian Zhao, Ran Ding, Jianfeng Mao, Yifei Zhao, Feng Guo, Shuoguo Yuan, Jiong Zhao, Jiabao Yi & Jianhua Hao

Multiferroic materials have ignited enormous interest owing to their co-existence of ferroelectricity and ferromagnetism, which hold substantial promise for advanced device applications. However, the size effect, dangling bonds, and interface effect in traditional multiferroics severely hinder their potential in nanoscale device applications. Recent theoretical and experimental studies have evidenced the possibility of realizing two-dimensional (2D) multiferroicity in van der Waals (vdW) layered CuCrP2S6. However, the incorporation of magnetic Cr ions in the ferroelectric framework leads to antiferroelectric and antiferromagnetic orderings, while macroscopic spontaneous polarization is always absent. Herein, we report the direct observation of robust out-of-plane ferroelectricity in 2D vdW CuCrP2S6 at room temperature with a comprehensive investigation. Modification of the ferroelectric polarization states in 2D CuCrP2S6 nanoflakes is experimentally demonstrated. Moreover, external electric field-induced polarization switching and hysteresis loops are obtained in CuCrP2S6 down to ~2.6 nm (4 layers). By using atomically resolved scanning transmission electron microscopy, we unveil the origin of the emerged room-temperature ferroelectricity in 2D CuCrP2S6. Our work can facilitate the development of multifunctional nanodevices and provide important insights into the nature of ferroelectric ordering of this 2D vdW material.

 

Deciphering the ultra-high plasticity in metal monochalcogenides

Lok Wing Wong, Ke Yang, Wei Han, Xiaodong Zheng, Hok Yin Wong, Chi Shing Tsang, Chun-Sing Lee, Shu Ping Lau, Thuc Hue Ly, Ming Yang & Jiong Zhao

The quest for electronic devices that offer flexibility, wearability, durability and high performance has spotlighted two-dimensional (2D) van der Waals materials as potential next-generation semiconductors. Especially noteworthy is indium selenide, which has demonstrated surprising ultra-high plasticity. To deepen our understanding of this unusual plasticity in 2D van der Waals materials and to explore inorganic plastic semiconductors, we have conducted in-depth experimental and theoretical investigations on metal monochalcogenides (MX) and transition metal dichalcogenides (MX2). We have discovered a general plastic deformation mode in MX, which is facilitated by the synergetic effect of phase transitions, interlayer gliding and micro-cracks. This is in contrast to crystals with strong atomic bonding, such as metals and ceramics, where plasticity is primarily driven by dislocations, twinning or grain boundaries. The enhancement of gliding barriers prevents macroscopic fractures through a pinning effect after changes in stacking order. The discovery of ultra-high plasticity and the phase transition mechanism in 2D MX materials holds significant potential for the design and development of high-performance inorganic plastic semiconductors.

 

Flexoelectric manipulation of ferroelectric polarization in self-strained tellurium

Yan Yan, Xiongyi Liang, Liqiang Wang, Yuxuan Zhang, Jiaming Zhou, Weijun Wang, Zhibo Zhang, Yu Zhou, Irum Firdous, Zhengxun Lai, Wei Wang, Pengshan Xie,  Yuecheng Xiong, Walid A. Daoud, Zhiyong Fan, Dong- Myeong Shin, Yong Yang, Yang Lu, Xiao Cheng Zeng, You Meng, Johnny C. Ho 

Beyond conventional ferroelectric compounds, the realization of single-element ferroelectricity expands the scope of ferroelectric materials and diversifies polarization mechanisms. However, strategies for manipulating ferroelectric dipoles in elemental ferroelectrics remain underexplored, limiting their broader applications. Here, we introduce a universal flexoelectric manipulation strategy to tune the ferroelectric and piezoelectric polarization of one-dimensional self-strained tellurium (Te) ferroelectrics. A substantial flexoelectric field of 9.55 microcoulombs per square centimeter was observed in self-strained Te, inducing a polarization rotation of 18°, comparable to the typical 15° rotation in ferroelectric PbTiO3 compounds. This substantial polarization rotation enhances ferroelectric coercivity by 165% and piezoelectric responses by 75% compared to unstrained Te. Moreover, the flexoelectric manipulation of ferroelectric polarization demonstrated improved energy harvesting performance at the device level, surpassing most existing counterparts. Our findings highlight the crucial role of flexoelectricity-ferroelectricity coupling in developing high-performance single-element electromechanical devices and ferroelectronics.

 

An inorganic-blended p-type semiconductor with robust electrical and mechanical properties

You Meng, Weijun Wang, Rong Fan, Zhengxun Lai, Wei Wang, Dengji Li, Xiaocui Li, Quan Quan, Pengshan Xie, Dong Chen, He Shao, Bowen Li, Zenghui Wu, Zhe Yang, SenPo Yip, Chun-Yuen Wong, Yang Lu & Johnny C. Ho

Inorganic semiconductors typically have limited p-type behavior due to the scarcity of holes and the localized valence band maximum, hindering the progress of complementary devices and circuits. In this work, we propose an inorganic blending strategy to activate the hole-transporting character in an inorganic semiconductor compound, namely tellurium-selenium-oxygen (TeSeO). By rationally combining intrinsic p-type semimetal, semiconductor, and wide-bandgap semiconductor into a single compound, the TeSeO system displays tunable bandgaps ranging from 0.7 to 2.2 eV. Wafer-scale ultrathin TeSeO films, which can be deposited at room temperature, display high hole field-effect mobility of 48.5 cm2/(Vs) and robust hole transport properties, facilitated by Te-Te (Se) portions and O-Te-O portions, respectively. The nanosphere lithography process is employed to create nanopatterned honeycomb TeSeO broadband photodetectors, demonstrating a high responsibility of 603 A/W, an ultrafast response of 5 μs, and superior mechanical flexibility. The p-type TeSeO system is highly adaptable, scalable, and reliable, which can address emerging technological needs that current semiconductor solutions may not fulfill.

 

Fused computing and storage in a 2D transistor

Du Xiang, Tao Liu & Wei Chen

The development of devices that exploit the intrinsic properties of two-dimensional materials can provide opportunities for in-memory computing and area-efficient integrated circuits based on Moore’s law.

 

Improving carrier mobility in two-dimensional semiconductors with rippled materials

Hong Kuan Ng, Du Xiang, Ady Suwardi, Guangwei Hu, Ke Yang, Yunshan Zhao, Tao Liu, Zhonghan Cao, Huajun Liu, Shisheng Li, Jing Cao, Qiang Zhu, Zhaogang Dong, Chee Kiang Ivan Tan, Dongzhi Chi, Cheng-Wei Qiu, Kedar Hippalgaonkar, Goki Eda, Ming Yang & Jing Wu 

Two-dimensional (2D) semiconductors could potentially replace silicon in future electronic devices. However, the low carrier mobility in 2D semiconductors at room temperature, caused by strong phonon scattering, remains a critical challenge. Here we show that lattice distortions can reduce electron–phonon scattering in 2D materials and thus improve the charge carrier mobility. We introduce lattice distortions into 2D molybdenum disulfide (MoS2) using bulged substrates, which create ripples in the 2D material leading to a change in the dielectric constant and a suppressed phonon scattering. A two orders of magnitude enhancement in room-temperature mobility is observed in rippled MoS2, reaching 900 cm2 V−1 s−1, which exceeds the predicted phonon-limited mobility of flat MoS2 of 200–410 cm2 V−1 s−1. We show that our approach can be used to create high-performance room-temperature field-effect transistors and thermoelectric devices.

 

Spectroscopy signatures of electron correlations in a trilayer graphene/hBN moiré superlattice

Jixiang Yang, Guorui Chen, Tianyi Han, Qihang Zhang, Ya-Hui Zhang, Lili Jiang, Bosai Lyu, Hongyuan Li, Kenji Watanabe, Takashi Taniguchi, Zhiwen Shi, Todadri Senthil, Yuanbo Zhang, Feng Wang, Long Ju 

ABC-stacked trilayer graphene/hexagonal boron nitride moiré superlattice (TLG/hBN) has emerged as a playground for correlated electron physics. We report spectroscopy measurements of dual-gated TLG/hBN using Fourier transform infrared photocurrent spectroscopy. We observed a strong optical transition between moiré minibands that narrows continuously as a bandgap is opened by gating, indicating a reduction of the single-particle bandwidth. At half-filling of the valence flat band, a broad absorption peak emerges at ~18 milli–electron volts, indicating direct optical excitation across an emerging Mott gap. Similar photocurrent spectra are observed in two other correlated insulating states at quarter- and half-filling of the first conduction band. Our findings provide key parameters of the Hubbard model for the understanding of electron correlation in TLG/hBN.


Van der Waals heterostructures

A. K. Geim & I. V. Grigorieva 

Research on graphene and other two-dimensional atomic crystals is intense and is likely to remain one of the leading topics in condensed matter physics and materials science for many years. Looking beyond this field, isolated atomic planes can also be reassembled into designer heterostructures made layer by layer in a precisely chosen sequence. The first, already remarkably complex, such heterostructures (often referred to as ‘van der Waals’) have recently been fabricated and investigated, revealing unusual properties and new phenomena. Here we review this emerging research area and identify possible future directions. With steady improvement in fabrication techniques and using graphene’s springboard, van der Waals heterostructures should develop into a large field of their own.

 

Room temperature near unity spin polarization in 2D Van der Waals heterostructures

Danliang Zhang, Ying Liu, Mai He, Ao Zhang, Shula Chen, Qingjun Tong, Lanyu Huang, Zhiyuan Zhou, Weihao Zheng, Mingxing Chen, Kai Braun, Alfred J. Meixner, Xiao Wang & Anlian Pan

The generation and manipulation of spin polarization at room temperature are essential for 2D van der Waals (vdW) materials-based spin-photonic and spintronic applications. However, most of the high degree polarization is achieved at cryogenic temperatures, where the spin-valley polarization lifetime is increased. Here, we report on room temperature high-spin polarization in 2D layers by reducing its carrier lifetime via the construction of vdW heterostructures. A near unity degree of polarization is observed in PbI2 layers with the formation of type-I and type-II band aligned vdW heterostructures with monolayer WS2 and WSe2. We demonstrate that the spin polarization is related to the carrier lifetime and can be manipulated by the layer thickness, temperature, and excitation wavelength. We further elucidate the carrier dynamics and measure the polarization lifetime in these heterostructures. Our work provides a promising approach to achieve room temperature high-spin polarizations, which contribute to spin-photonics applications.

 

Near-Unity Polarization of Valley-Dependent Second-Harmonic Generation in Stacked TMDC Layers and Heterostructures at Room Temperature

Danliang Zhang, Zhouxiaosong Zeng, Qingjun Tong, Ying Jiang, Shula Chen, Biyuan Zheng, Junyu Qu, Fang Li, Weihao Zheng, Feng Jiang, Hepeng Zhao, Lanyu Huang, Kai Braun, Alfred J Meixner, Xiao Wang, Anlian Pan

With unique valley-dependent optical and optoelectronic properties, 2D transition metal dichalcogenides (2D TMDCs) are promising materials for valleytronics. Second-harmonic generation (SHG) in 2D TMDCs monolayers has shown valley-dependent optical selection rules. However, SHG in monolayer TMDCs is generally weak; it is important to obtain materials with both strong SHG signals and a large degree of polarization. In the work, a variety of inversion-symmetry-breaking (3R-like phase) TMDCs (WSe2, WS2, MoS2) atomic layers, spiral structures, and heterostructures are prepared, and their SHG polarization is studied. Through circular-polarization-resolved SHG experiments, it is demonstrated that the SHG intensity is enhanced in thicker samples by breaking inversion symmetry while maintaining the degree of polarization close to unity at room temperature. By studying TMDCs with different twist angles and the spiral structures, it is found that there is no significant effect of multilayer interlayer interaction on valley-dependent SHG. The realization of strong SHG with high degree of polarization may pave the way toward a new platform for nonlinear optical valleytronics devices based on 2D semiconductors.

 

Realization of fractional-layer transition metal dichalcogenides

Ya-Xin Zhao, Heng Jin, Zi-Yi Han, Xinlei Zhao, Ya-Ning Ren, Ruo-Han Zhang, Xiao-Feng Zhou, Wenhui Duan, Bing Huang, Yu Zhang & Lin He

Layered van der Waals transition metal dichalcogenides (TMDCs), generally composed of three atomic X-M-X planes in each layer (M = transition metal, X = chalcogen), provide versatile platforms for exploring diverse quantum phenomena. In each MX2 layer, the M-X bonds are predominantly covalent in nature and, as a result, the cleavage of TMDC crystals normally occurs between the layers. Here we report the controllable realization of fractional-layer WTe2 via an in-situ scanning tunneling microscopy (STM) tip manipulation technique. By applying STM tip pulses, hundreds of the topmost Te atoms are removed to form a nanoscale monolayer Te pit in the 1 T′-WTe2, thus realizing a 2/3-layer WTe2 film. Such a configuration undergoes a spontaneous atomic reconstruction, yielding a unidirectional charge density redistribution with the wavevector and geometry quite distinct from that of pristine 1 T′-WTe2. Our results expand the conventional understanding of the TMDCs and are expected to stimulate further research on the structure and properties of fractional-layer TMDCs.

 

Unraveling the Role of Interfacial Interactions in Electrical Contacts of Atomically Thin Transition-Metal Dichalcogenides

Meiying Gong, Dabao Xie, Yiqian Tian, Zeqi Hua, Congmin Zhang, Meng Li, Dan Cao, Jing Zhou, Xiaoshuang Chen, Haibo Shu

Van der Waals (vdW) contact has been widely regarded as one of the most potential strategies for exploiting low-resistance metal–semiconductor junctions (MSJs) based on atomically thin transition-metal dichalcogenides (TMDs), but this method is still not efficient due to weak metal–TMD interfacial interactions. Therefore, an understanding of interfacial interactions between metals and TMDs is essential for achieving low-resistance contacts with weak Fermi level pinning (FLP). Herein, we report how the interfacial interactions between metals and TMDs affect the electrical contacts by considering more than 90 MSJs consisting of a semiconducting TMD channel and different types of metal electrodes, including bulk metals, MXenes, and metallic TMDs. We reveal that the vdW contact scheme cannot ensure the formation of low-resistance metal–TMD contacts. The interfacial coupling between metals and TMDs leads to a delicate competition between the FLP and carrier tunneling efficiency, which explains the broad experimental observations in which the weakly coupled van der Waals contacts usually show high contact resistance, while the strongly coupled metal–TMD contacts suffer from strong FLP. Benefiting from the low Schottky barrier and weak FLP, bulk Ag is a promising electrode for n-type MoS2 devices with a contact resistance of 83 Ω μm at a carrier concentration of 5.95 × 1013 cm-2, and 1T′-phase MoS2 and Sc2NO2 are identified as superior contact electrodes for p-type WSe2 devices. This work offers a general rule to exploit high-performance MSJs and clarifies the key role of interfacial coupling in the electrical contacts of TMD-based devices.

 

Bright and stable anti-counterfeiting devices with independent stochastic processes covering multiple length scales

Junfang Zhang, Adam Creamer, Kai Xie, Jiaqing Tang, Luke Salter, Jonathan P. Wojciechowski & Molly M. Stevens

Physical unclonable functions (PUFs) are considered the most promising approach to address the global issue of counterfeiting. Current PUF devices are often based on a single stochastic process, which can be broken, especially since their practical encoding capacities can be significantly lower than the theoretical value. Here we present stochastic PUF devices with features across multiple length scales, which incorporate semiconducting polymer nanoparticles (SPNs) as fluorescent taggants. The SPNs exhibit high brightness, photostability and size tunability when compared to the current state-of-the-art taggants. As a result, they are easily detectable and highly resilient to UV radiation. By embedding SPNs in photoresists, we generate PUFs consisting of nanoscale (distribution of SPNs within microspots), microscale (fractal edges on microspots), and macroscale (random microspot array) designs. With the assistance of a deep-learning model, the resulting PUFs show both near-ideal performance and accessibility for general end users, offering a strategy for next-generation security devices.

 

Strong-interaction-driven quadrupolar-to-dipolar exciton transitions in a trilayer moiré superlattice

Yuze Meng, Lei Ma, Li Yan, Ahmed Khalifa, Dongxue Chen, Shuai Zhang, Rounak Banerjee, Takashi Taniguchi, Kenji Watanabe, Seth Ariel Tongay, Benjamin Hunt, Shi-Zeng Lin, Wang Yao, Yong-Tao Cui, Shubhayu Chatterjee & Su-Fei Shi

The additional layer degree of freedom in trilayer moiré superlattices of transition metal dichalcogenides enables the emergence of novel excitonic species, such as quadrupolar excitons, which exhibit unique excitonic interactions and hold promise for realizing intriguing excitonic phases and their quantum phase transitions. Concurrently, the presence of strong electronic correlations in moiré superlattices, as exemplified by the observations of Mott insulators and generalized Wigner crystals, offers a direct route to manipulate these new excitonic states and the resulting collective excitonic phases. Here we demonstrate that strong exciton–exciton and electron–exciton interactions, both stemming from robust electron correlations, can be harnessed to controllably drive transitions between quadrupolar and dipolar excitons. This is achieved by tuning either the exciton density or electrostatic doping in a trilayer semiconducting moiré superlattice. Our findings not only advance the fundamental understanding of quadrupolar excitons but also usher in new avenues for exploring and engineering many-body quantum phenomena through novel correlated excitons in semiconducting moiré systems.

 

Exciton Superposition across Moiré States in a Semiconducting Moiré Superlattice

Zhen Lian, Dongxue Chen, Yuze Meng, Xiaotong Chen, Ying Su, Rounak Banerjee, Takashi Taniguchi, Kenji Watanabe, Sefaattin Tongay, Chuanwei Zhang, Yong-Tao Cui & Su-Fei Shi

Moiré superlattices of semiconducting transition metal dichalcogenides enable unprecedented spatial control of electron wavefunctions, leading to emerging quantum states. The breaking of translational symmetry further introduces a new degree of freedom: high symmetry moiré sites of energy minima behaving as spatially separated quantum dots. We demonstrate the superposition between two moiré sites by constructing a trilayer WSe2/monolayer WS2 moiré heterojunction. The two moiré sites in the first layer WSe2 interfacing WS2 allow the formation of two different interlayer excitons, with the hole residing in either moiré site of the first layer WSe2 and the electron in the third layer WSe2. An electric field can drive the hybridization of either of the interlayer excitons with the intralayer excitons in the third WSe2 layer, realizing the continuous tuning of interlayer exciton hopping between two moiré sites and a superposition of the two interlayer excitons, distinctively different from the natural trilayer WSe2.

 

Molecular engineering of organic–inorganic hybrid perovskites quantum wells

Yao Gao, Enzheng Shi, Shibin Deng, Stephen B. Shiring, Jordan M. Snaider, Chao Liang, Biao Yuan, Ruyi Song, Svenja M. Janke, Alexander Liebman-Peláez, Pilsun Yoo, Matthias Zeller, Bryan W. Boudouris, Peilin Liao, Chenhui Zhu, Volker Blum, Yi Yu, Brett M. Savoie, Libai Huang & Letian Dou 

Semiconductor quantum-well structures and superlattices are key building blocks in modern optoelectronics, but it is difficult to simultaneously realize defect-free epitaxial growth while fine tuning the chemical composition, layer thickness and band structure of each layer to achieve the desired performance. Here we demonstrate the modulation of the electronic structure—and consequently the optical properties—of organic semiconducting building blocks that are incorporated between the layers of perovskites through a facile solution processing step. Self-aggregation of the conjugated organic molecules is suppressed by functionalization with sterically demanding groups and single crystalline organic–perovskite hybrid quantum wells (down to one-unit-cell thick) are obtained. The energy and charge transfers between adjacent organic and inorganic layers are shown to be fast and efficient, owing to the atomically flat interface and ultrasmall interlayer distance of the perovskite materials. The resulting two-dimensional hybrid perovskites are very stable due to protection given by the bulky hydrophobic organic groups.

 

Metaplasticity-Enabled Graphene Quantum Dot Devices for Mitigating Catastrophic Forgetting in Artificial Neural Networks

Xuemeng Fan, Anzhe Chen, Zongwen Li, Zhihao Gong, Zijian Wang, Guobin Zhang, Pengtao Li, Yang Xu, Hua Wang, Changhong Wang, Xiaolei Zhu, Rong Zhao, Bin Yu, Yishu Zhang

The limitations of deep neural networks in continuous learning stem from oversimplifying the complexities of biological neural circuits, often neglecting the dynamic balance between memory stability and learning plasticity. In this study, artificial synaptic devices enhanced with graphene quantum dots (GQDs) that exhibit metaplasticity is introduced, a higher-order form of synaptic plasticity that facilitates the dynamic regulation of memory and learning processes similar to those observed in biological systems. The GQDs-assisted devices utilize interface-mediated modifications in asymmetric conductive pathways, replicating classical synaptic plasticity mechanisms. This allows for repeatable and linearly programmable adjustments to future weight changes linked to historical weights. Incorporating metaplasticity is essential for achieving generalization within deep neural networks, which enables them to adapt more fluidly to new information while retaining previously acquired knowledge. The GQDs-device-based system achieved a 97% accuracy on the fourth MNIST dataset task, while consistently achieving performance levels above 94% on prior tasks. This performance substantiates the feasibility of directly transferring metaplasticity principles to deep neural networks, thereby addressing the challenges associated with catastrophic forgetting. These findings present a promising hardware solution for developing neuromorphic systems with robust and sustained learning capabilities that can effectively bridge the gap between artificial and biological neural networks.

 

Reversible Amorphous–Crystalline Phase Transformation in an Ultrathin van der Waals FeTe System

Jinbao Jiang, Feng Xiong, Linfeng Sun, Haitao Chen, Mengjian Zhu, Wei Xu, Jianfa Zhang, Zhihong Zhu 

Searching for new phase-change materials for memory and neuromorphic device applications and further understanding the phase transformation mechanism are attracting wide attention. Phase transformation from the amorphous phase to the crystal phase has been unraveled in iron telluride (FeTe) bulk film deposited by pulsed laser deposition, recently. However, the van der Waals-layered feature of FeTe in the crystal form was not noted, which will benefit the scaling of the memory devices and shine light on phase-change heterostructures or interfacial phase-change materials. Moreover, the demonstration of advanced memory or neuromorphic device applications is lacking. Here, we investigate the phase transformation of FeTe starting from mechanically exfoliated van der Waals layers from a bulk single crystal. Surficial amorphization is revealed at the surface layers of FeTe flakes after exfoliation under ambient conditions, which could be transformed back to the crystalline phase with laser irradiation or heating. The conductance drop of the flake devices near 400 K verifies the phase transformation electrically. Memristor behavior of the amorphous surface in FeTe has been further demonstrated, proving the reversibility of the phase transformation and shining light on the possible applications of neuromorphic devices.

 

Random resistive memory-based deep extreme point learning machine for unified visual processing

Shaocong Wang, Yizhao Gao, Yi Li, Woyu Zhang, Yifei Yu, Bo Wang, Ning Lin, Hegan Chen, Yue Zhang, Yang Jiang, Dingchen Wang, Jia Chen, Peng Dai, Hao Jiang, Peng Lin, Xumeng Zhang, Xiaojuan Qi, Xiaoxin Xu, Hayden So, Zhongrui Wang, Dashan Shang, Qi Liu, Kwang-Ting Cheng & Ming Liu

Visual sensors, including 3D light detection and ranging, neuromorphic dynamic vision sensor, and conventional frame cameras, are increasingly integrated into edge-side intelligent machines. However, their data are heterogeneous, causing complexity in system development. Moreover, conventional digital hardware is constrained by von Neumann bottleneck and the physical limit of transistor scaling. The computational demands of training ever-growing models further exacerbate these challenges. We propose a hardware-software co-designed random resistive memory-based deep extreme point learning machine. Data-wise, the multi-sensory data are unified as point set and processed universally. Software-wise, most weights are exempted from training. Hardware-wise, nanoscale resistive memory enables collocation of memory and processing, and leverages the inherent programming stochasticity for generating random weights. The co-design system is validated on 3D segmentation (ShapeNet), event recognition (DVS128 Gesture), and image classification (Fashion-MNIST) tasks, achieving accuracy comparable to conventional systems while delivering 6.78 × /21.04 × /15.79 × energy efficiency improvements and 70.12%/89.46%/85.61% training cost reductions.

 

Topology optimization of random memristors for input-aware dynamic SNN

Bo Wang, Xinyuan Zhang, Shaocong Wang, Ning Lin, Yi Li, Yifei Yu, Yue Zhang, Jichang Yang, Xiaoshan Wu, Yangu He, Songqi Wang, Tao Wan, Rui Chen, Guoqi Li, Yue Deng, Xiaojuan Qi, Zhongrui Wang, Dashan Shang

Machine learning has advanced unprecedentedly, exemplified by GPT-4 and SORA. However, they cannot parallel human brains in efficiency and adaptability due to differences in signal representation, optimization, runtime reconfigurability, and hardware architecture. To address these challenges, we introduce pruning optimization for input-aware dynamic memristive spiking neural network (PRIME). PRIME uses spiking neurons to emulate brain’s spiking mechanisms and optimizes the topology of random memristive SNNs inspired by structural plasticity, effectively mitigating memristor programming stochasticity. It also uses the input-aware early-stop policy to reduce latency and leverages memristive in-memory computing to mitigate von Neumann bottleneck. Validated on a 40-nm, 256-K memristor-based macro, PRIME achieves comparable classification accuracy and inception score to software baselines, with energy efficiency improvements of 37.8× and 62.5×. In addition, it reduces computational loads by 77 and 12.5% with minimal performance degradation and demonstrates robustness to stochastic memristor noise. PRIME paves the way for brain-inspired neuromorphic computing.

 

Semantic memory-based dynamic neural network using memristive ternary CIM and CAM for 2D and 3D vision

Yue Zhang, Woyu Zhang, Shaocong Wang, Ning Lin, Yifei Yu, Yangu He,  Bo Wang, Hao Jiang, Peng Lin, Xiaoxin Xu, Xiaojuan Qi, Zhongrui Wang, Xumeng Zhang, Dashan Shang, Qi Liu, Kwang- Ting Cheng, Ming Liu

The brain is dynamic, associative, and efficient. It reconfigures by associating the inputs with past experiences, with fused memory and processing. In contrast, AI models are static, unable to associate inputs with past experiences, and run on digital computers with physically separated memory and processing. We propose a hardware-software co-design, a semantic memory–based dynamic neural network using a memristor. The network associates incoming data with the past experience stored as semantic vectors. The network and the semantic memory are physically implemented on noise-robust ternary memristor-based computing-in-memory (CIM) and content-addressable memory (CAM) circuits, respectively. We validate our co-designs, using a 40-nm memristor macro, on ResNet and PointNet++ for classifying images and three-dimensional points from the MNIST and ModelNet datasets, which achieves not only accuracy on par with software but also a 48.1 and 15.9% reduction in computational budget. Moreover, it delivers a 77.6 and 93.3% reduction in energy consumption.