A5053992438- MXene and MAX Phase Materials
- 2D Materials and Applications
- Advanced Memory and Neural Computing
- Graphene research and applications
- Advancements in Battery Materials
- High-pressure geophysics and materials
- Boron and Carbon Nanomaterials Research
- Advanced Thermoelectric Materials and Devices
- Conducting polymers and applications
- Photoreceptor and optogenetics research
- Advanced Photocatalysis Techniques
- Superconductivity in MgB2 and Alloys
- Ferroelectric and Negative Capacitance Devices
- Neuroscience and Neural Engineering
- Perovskite Materials and Applications
- Crystallography and molecular interactions
- Thermal properties of materials
- Semiconductor materials and devices
- Advanced Chemical Physics Studies
- Electronic and Structural Properties of Oxides
- Hydrogen Storage and Materials
- Electrocatalysts for Energy Conversion
- Semiconductor materials and interfaces
- Metal and Thin Film Mechanics
- Chalcogenide Semiconductor Thin Films
Southwest Jiaotong University
2016-2025
Fudan University
2024-2025
Central South University
2023-2025
Wuhan University of Technology
2024
Beijing Computational Science Research Center
2019-2023
Bengbu Medical College
2020-2023
National University of Singapore
2021-2022
Chengdu University
2017-2021
Ministry of Education of the People's Republic of China
2018-2021
Linyi People's Hospital
2014-2020
The concept of the memristor, a resistor with memory, was proposed by Chua in 1971 as fourth basic element electric circuitry. Despite significant amount effort devoted to understanding memristor theory, our nonpinched current-voltage (I-V) hysteresis loop memristors remains incomplete. Here we propose physical model capacitor connected parallel, which explains how I-V behavior originates from capacitive-coupled memristive effect. Our replicates eight types characteristic nonlinear behavior,...
With the rapid development of next-generation artificial intelligence technology, research on advanced machine vision has received extensive attention. It is well-known that significant progress been made in systems based light sensors, but separate sensor and memory require additional time for information transfer to realize computation due limitation von Neumann architecture, which delays computational speed hinders large-scale integration. In recent years, emergence photoelectric...
Memristors, promising nanoelectronic devices with in-memory resistive switching behavior that is assembled a physically integrated core processing unit (CPU) and memory even possesses highly possible multistate electrical behavior, could avoid the von Neumann bottleneck of traditional computing show efficient ability parallel computation high information storage. These advantages position them as potential candidates for future data-centric requirements add remarkable vigor to research...
Since memristors as an emerging nonlinear electronic component have been considered the most promising candidate for integrating nonvolatile memory and advanced computing technology, in-depth reveal of memristive mechanism realization hardware fabrication facilitated their wide applications in next-generation artificial intelligence. Flexible shown great prospects wearable electronics skin (e-skin), but research on physical is still lacking. Here, a flexible device with Ag/HfOx/Ti/PET...
Photo-induced novel effect in a material with multiple physical properties has highly important potential applications the photo-electric multifunctional electronic devices. In this work, BiFeO3/ZnO bilayer films were sequentially prepared by magnetron sputtering method, which displays an obvious photo-modulated conversion between resistive switching (RS) memory and negative differential resistance (NDR) effect. Through theoretical analysis simulation calculation, suggesting NDR can be...
Novel 2D Blue-AsP sheets show promising high-performance photovoltaic properties.
It is vital to search for highly efficient bifunctional oxygen evolution/reduction reaction (OER/ORR) electrocatalysts sustainable and renewable clean energy. Herein, we propose a single transition-metal (TM)-based defective AlP system validate electrocatalysis by using the density functional theory (DFT) method. We found that catalytic activity enhanced substituting two P atoms with N in Al vacancy of TM-anchored monolayer. Specifically, overpotential OER(ORR) Co- Ni-based systems be 0.38...
Manipulating Co oxidation by loading Au atoms can substantially enhance the OER activity of those activated ions.
Abstract Biomaterials‐based electronic devices (BEDs) have remarkable advantages such as biocompatibility and biodegradability, which are expected to promising prospects in the development of green electronics wearable smart sensors brain‐like synaptic devices. However, BEDs is still its infancy, much work remains be done before this technology can widely used. Here, a novel corn starch‐based BED with sandwiched structure Ag/Corn starch:PVDF/ITO developed, has integrated multifunctional...
Trace element is known to be one major component in determining particulate matter (PM) toxicities. However, there still no accurate assessment of the toxic potency mixed valences. Here, we reported oxidative stress and cytotoxicity potencies 14 trace elements their various valence states estimated gaps inorganic PM resulting from variations Substantial discrepancies up 3 orders magnitude were observed among different When considering abundance PM, toxicity are range 5 6 times between...
Motivated by the superior thermoelectric performance of two-dimensional (2D) materials, in this work, we investigate properties XTe monolayers (X= Ge, Sn, Pb) using first-principles calculation and Boltzmann transport theory.The calculated results show ultra-low lattice thermal conductivities (L) as 1.3, 3.6 4.3 W/mK at 300 K, respectively.Phonon analyses that ultralow L stem from coexistence resonant bonding weak monolayers, well avoided crossing between longitudinal acoustic (LA) phonons...
Using swarm-intelligence structure-search method in conjunction with structure design via the assembly of organic units, we identified a novel holey α-C 3 N 2 monolayer as superior anode material LIBs ultra-high specific capacity.
The high-speed development of the Internet Things and artificial intelligence is revolutionizing world in terms industrial production, environmental protection, medical treatment, education, daily life, so on. powerful fast computing methods are crucial for advanced technology toward next generation intelligence. Traditional systems have separated logical storage units, which cause computation time delays increase power consumption. Spintronic memristors combine nonvolatile characteristics...
Two-dimensional (2D) porous graphitic carbon nitrides (PGCNs) with semiconducting features have attracted wide attention because of built-in pores various active sites, large surface area, and high physicochemical stability. However, only a few PGCNs been synthesized, covering 1.23-3.18 eV band gap. We systematically investigate two new 2D PGCN monolayers, T-C3N2 H-C3N2, including possible pathways for their experimental synthesis. Based on first-principles calculations, the mechanical,...
The ever-growing demand for sustainable and renewable power sources has led to the development of novel materials photocatalytic water splitting, but enhancing efficiency remains a core problem. Herein, we report conceptual effective experimental confirmed strategy SnO2 quantum dot (QD) interspersed multiphase (rutile, anatase) TiO2 nanorod arrays (SnO2/RA@TiO2 NRs) immensely enhance carrier separation highly efficient splitting by merging simultaneously QD, multiphase, heterojunction...
Various nitrogen species in nitrides are fascinating since they often appear with these nitride as superconductors, hard materials, and high-energy density. As a typical complex, though iron has been intensively studied, the iron-nitrogen (Fe-N) compounds only have confined to single atom (N) or molecule (N
Using the earth-abundant natural biomaterials to manufacture functional electronic devices meets sustainable requirement of green electronics, especially for practical application memristors in data storage and neuromorphic computing. However, sneak currents flowing though unselected cells a large-scale cross-bar memristor array is one major problems which need be tackled. The self-selecting can solve problem develop compact concise integrated circuits. Here, biomaterial (anthocyanin,...
Extra-factors-controlled ReRAM devices are expected to be used in the manufacture of multistate memory and artificial intelligent sensors.
Two-dimensional (2D) electrides, characterized by excess interstitial anionic electron (IAE) in a crystalline 2D material, offer promising opportunities for the development of electrode materials, particular rechargeable metal-ion batteries applications. Although few such potential electride materials have been reported, they generally show low storage capacity, and effect IAE on ion performance remains elusive so far. Here we report novel electride, [Sc3Si2]1+·1e-, with fascinating...