A5057365787- Advanced Memory and Neural Computing
- Ferroelectric and Negative Capacitance Devices
- Semiconductor materials and devices
- Neuroscience and Neural Engineering
- earthquake and tectonic studies
- Neural dynamics and brain function
- Ferroelectric and Piezoelectric Materials
- Analytical Chemistry and Sensors
- Advanced Sensor and Energy Harvesting Materials
- Neural Networks and Reservoir Computing
- Seismology and Earthquake Studies
- Geoscience and Mining Technology
- Geotechnical Engineering and Analysis
- Advanced battery technologies research
- Quantum Dots Synthesis And Properties
- Advanced Battery Materials and Technologies
- Landslides and related hazards
- solar cell performance optimization
- Smart Agriculture and AI
- Geological and Geochemical Analysis
- MXene and MAX Phase Materials
- Perovskite Materials and Applications
- Seismic Imaging and Inversion Techniques
- Geological and Geophysical Studies
- Photovoltaic System Optimization Techniques
Hebei University
2022-2025
China Earthquake Administration
2024
National University of Singapore
2016-2024
Zhaoqing University
2024
Heilongjiang Earthquake Agency
2023-2024
South China Normal University
2024
Nanyang Technological University
2016
Abstract Artificial Intelligence (AI) is currently experiencing a bloom driven by deep learning (DL) techniques, which rely on networks of connected simple computing units operating in parallel. The low communication bandwidth between memory and processing conventional von Neumann machines does not support the requirements emerging applications that extensively large sets data. More recent paradigms, such as high parallelization near-memory computing, help alleviate data bottleneck to some...
In-sensor computing has emerged as an ultrafast and low-power technique for next-generation machine vision. However, in situ training of in-sensor systems remains challenging due to the demands both high-performance devices efficient programming schemes. Here, we experimentally demonstrate artificial neural network (ANN) based on ferroelectric photosensors (FE-PSs). Our FE-PS exhibits self-powered, fast (<30 μs), multilevel (>4 bits) photoresponses, well long retention (50 days), high...
Abstract Ferroelectric hafnia-based thin films have attracted intense attention due to their compatibility with complementary metal-oxide-semiconductor technology. However, the ferroelectric orthorhombic phase is thermodynamically metastable. Various efforts been made stabilize of such as controlling growth kinetics and mechanical confinement. Here, we demonstrate a key interface engineering strategy enhance Hf 0.5 Zr O 2 film by deliberately termination bottom La 0.67 Sr 0.33 MnO 3 layer....
Brain-inspired neuromorphic computing has attracted widespread attention owing to its ability perform parallel and energy-efficient computation. However, the synaptic weight of amorphous/polycrystalline oxide based memristor usually exhibits large nonlinear behavior with high asymmetry, which aggravates complexity peripheral circuit system. Controllable growth conductive filaments is highly demanded for achieving linear conductance modulation. stochastic filament in commonly used makes it...
Abstract Inspired by biological processes, feature learning techniques, such as deep learning, have achieved great success in various fields. However, since organs may operate differently from semiconductor devices, models usually require dedicated hardware and are computation-complex. High energy consumption has made model growth unsustainable. We present an approach that directly implements using physics to minimize disparity between hardware. Following this approach, a technique based on...
Abstract Biologically inspired neuromorphic sensory memory systems based on memristor have received a lot of attention in the booming artificial intelligence industry due to significant potential effectively process multi‐sensory signals from complex external environments. However, many memristors switching parameters disperse, which is great challenge for using bionic systems. Herein, stable ferroelectric Pd/BaTiO 3 :Eu 2 O /La 0.67 Sr 0.33 MnO grown Silicon structure with SrTiO as buffer...
(Anti-)ferroelectricity in complementary metal-oxide-semiconductor (CMOS)-compatible binary oxides have attracted considerable research interest recently. Here, we show that by using substrate-induced strain, the orthorhombic phase and desired ferroelectricity could be achieved ZrO2 thin films. Our theoretical analyses suggest strain imposed on (111) film TiN/MgO (001) substrate would energetically favor tetragonal (t) (o) phases over monoclinic (m) of ZrO2, compressive along certain ⟨11-2⟩...
Neuromorphic computing holds immense promise for developing highly efficient computational approaches. Memristor-based artificial neurons, known due to their straightforward structure, high energy efficiency, and superior scalability, which enable them successfully mimic biological neurons with electrical devices. However, the reliability of memristors has always been a major obstacle in neuromorphic computing. Here, we propose an ultra-robust neuron negative differential resistance (NDR)...
Diverse defects in copper indium gallium diselenide solar cells cause nonradiative recombination losses and impair device performance. Here, an organic passivation scheme for surface grain boundary is reported, which employs agent to infiltrate the thin films. A transparent conductive passivating (TCP) film then developed by incorporating metal nanowires into polymer used cells. The TCP films have a transmittance of more than 90% visible nearinfrared spectra sheet resistance ~10.5 Ω/sq. This...
Neuro-symbolic artificial intelligence has garnered considerable attention amid increasing industry demands for high-performance neural networks that are interpretable and adaptable to previously unknown problem domains with minimal reconfiguration. However, implementing neuro-symbolic hardware is challenging due the complexity in symbolic knowledge representation calculation. We experimentally demonstrated a memristor-based neuro-fuzzy based on TiN/TaO x /HfO /TiN chips superior its...
Active buried faults are a type of potential seismic source that typically very difficult to explore and study in detail due their undetectability using traditional geological survey methods. A ring active basins has currently formed around the stable Ordos Block. However, few studies have been conducted determine activity these basins. This utilized Xinding Basin northern Shanxi Rift System as target area. Based on comprehensive evidence from shallow exploration, joint multi-drilling,...
<title>Abstract</title> In-sensor computing has emerged as an ultrafast and low-power technique for next-generation machine vision. However, in situ training of in-sensor systems remains challenging due to the demands both high-performance devices efficient programming schemes. Here, we experimentally demonstrate artificial neural network (ANN) based on ferroelectric photosensors (FE-PSs). Our FE-PS exhibits self-powered, fast (<30 μs), multilevel (>4 bits) photoresponses, well long...
Abstract Biologically inspired neuromorphic perceptual systems have great potential for efficient processing of multisensory signals from the physical world. Recently, artificial neurons constructed by memristor been developed with good biological plausibility and density, but filament‐type is limited undesirable temporal spatial variations, high electroforming voltage reproducibility Mott insulator type suffer large driving current. Here, we propose a novel antiferroelectric neuron (AFEAN)...
The AD 1209 M6.5 Fushan earthquake caused significant casualties and damage. Fault, forming the boundary between Linfen Faulted Basin uplifted Taihang Mountains, may have been seismogenic fault, but research is lacking. Based on UAV field surveys, we found that Fault has a surface exposure length of 24 km displaces Holocene strata. Samples from offset layers within trench showed most recent event occurred last 7 ka (i.e., activity) fault potential to generate earthquakes exceeding magnitude...
The Shanxi Graben is a transitional zone between the Ordos Block and North China Plain with complex structures frequent earthquakes. Six earthquakes M ≥ 7.0 have been recorded in area, including 1303 Hongtong 8 1695 Linfen 7.8 Basin. Research on these two large earthquakes, closely related time space, lacking. Our objective was to use deep seismic reflection profiles 3D velocity structure data from previous research, along seismological observation results, interpret geological near source...
Assessing the stability of loess landslides under seismic action scientifically and reasonably is crucial for reducing earthquake disasters ensuring safety people’s lives property. To study this issue, we chose southern part Fushan County, Shanxi Province as research area, where slopes develop impacts are strong. Based on high-precision DEM images area obtained from unmanned aerial vehicle photogrammetry, selected 32 representative profiles by sampling according to our principles, used...