Lei Wang

Lei Wang
Ludwig-Maximilians-University of Munich | LMU · Faculty of Law

About

313
Publications
25,283
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6,540
Citations
Citations since 2016
241 Research Items
6287 Citations
201620172018201920202021202205001,0001,500
201620172018201920202021202205001,0001,500
201620172018201920202021202205001,0001,500
201620172018201920202021202205001,0001,500

Publications

Publications (313)
Article
The photocatalytic CO2 reduction reaction (CO2RR) provides an attractive approach to tackling environmental issues. To actualize the optimal catalytic efficiency, one efficacious strategy is to rationally modulate the charge migration for the adopted heterogeneous catalysts. Herein, by virtue of a one-step hydrothermal method, Cu2S nanospheres and...
Article
In the wake of increasingly serious challenges in oilfield production and energy utilization, oil and gas reservoirs with ultra‐low permeability have gained tremendous importance for global energy supply. In such reservoirs, hydraulic fracturing is an important stimulation measure. Here, to develop a high‐performance fracturing fluid, a novel type...
Article
Full-text available
A hydrophobically associating copolymer (HPAOS) with synergistic interactions between the monomers, 2-acrylamido-2-methylpropanesulfonic acid, octadecyl methacrylate, octadecyldimethylallyl ammonium chloride, and acrylamide was synthesized by free radical polymerization, followed by hydrolysis. Fourier transform infrared spectroscopy (FTIR) and pro...
Article
To develop high-salinity, high-temperature reservoirs, a novel supramolecular viscoelastic polymer-based fracturing fluid modified with an amphiphilic functional monomer was developed. Investigation of the thickening ability, solubility, and rheology revealed that the as-developed gel system with a rigid hydrophobically associating space network st...
Article
Due to the bionic features, neuromorphic computing has achieved higher energy efficiency than deep learning in many fields in recent years. Similar to the biological brain, the memory of synapses and weights occupy a large area in a neuromorphic processor. The prior neuromorphic processors meet the challenge of the large area of the memory organiza...
Article
Noble-metal-free semiconductor composites are very valuable for efficient water splitting driven by visible light. In this paper, [email protected]2P was successfully prepared by a simple hydrothermal method followed by in situ photodeposition. The results showed that the best photocatalytic hydrogen production rate of the composite is 287 μmol h⁻¹...
Article
CdS conductor has a suitable band gap (~2.4 eV), and the energy band position is conducive to photocatalytic CO2 reduction. However, its photocatalytic efficiency is highly confined by its unfavored carrier transfer. In this study, a moderately in-situ growth method is harnessed to insert commercial TiO2 particles (P25) into the CdS grains in the f...
Article
Modifying semiconductor photoanode with efficient and cheap iron-based oxygen evolution cocatalyst along with functional interlayer is an efficient method to enhance the water splitting efficiency of photoelectrochemical (PEC). Poly-aminoanthraquinone (PDAAQ) due to its outstanding reversible redox activity plays a significant role as proton recept...
Chapter
Dynamic Vision Sensor (DVS) is a neuromorphic sensor. Compared with traditional cameras, event cameras based on DVS have the advantages of high time resolution, low power consumption, less motion blur, and low data redundancy, making DVS more suitable for computer vision tasks such as gesture recognition. However, the adaptation of traditional algo...
Conference Paper
Neuromorphic processor is popular due to its high energy efficiency for spatio-temporal applications. However, when running the spiking neural network (SNN) topologies with the ever-growing scale, existing neuromorphic architectures face challenges due to their restrictions on neuron fan-in and fan-out. This paper proposes Unicorn, a multicore neur...
Article
The massive use of pesticides nowadays has led to serious consequences for the environment and public health. Fluorescence analytical methods for pesticides are particularly advantageous with respect to simplicity and portability; however, currently available fluorescence methods (enzyme-based assays and indicator displacement assays) with poor uni...
Article
Phosgene is a highly toxic gas that poses a serious threat to human health and public safety. Therefore, it is of great importance to develop an available detection method enabling on-the-spot measurement of phosgene. In this paper, we report a novel ESIPT fluorescent probe for phosgene detection based on quinolone fluorophore. This probe exhibits...
Article
In virtue of the pliable structure and ample pendent amine groups, the metal-free graphic carbon nitride (g-C3N4, abbreviated as CN) in two-dimensional (2D) morphology could be covalently modified by organic materials to modulate its photoelectrical characteristics. In this work, CN is covalently wrapped by a 2D Schiff-base covalent organic framewo...
Article
Lithium metal has gained extensive attention as the most ideal candidate for next-generation battery anode owing to the ultrahigh specific capacity and the lowest electrochemical potential. However, uncontrollable dendrite growth and huge volume variation extremely restrict the future deployment of lithium metal batteries. Herein, we report metal c...
Conference Paper
The CNNs have achieved excellent performance in pattern recognition and target detection, which have a wide range of applications in industrial control, medical imaging, autonomous driving, and other fields. However, it is very inefficient to execute data-intensive CNN applications on edge devices with limited computing and power resources. It is n...
Article
Photocatalytic CO2 reduction into high value-added chemicals is of considerable prospect for tackling quandaries in energy scarcity. One potent strategy to raise up its conversion efficacy is engineering heterostructure by virtue of tunable substituent in organic structure to facilitate the charge delivery within the photocatalyst. Herein, three me...
Article
Neuromorphic processors have gained momentum recently due to their high energy efficiency in artificial intelligence applications compared to DNN accelerators. Most neuromorphic processors are executing SNNs (Spiking Neural Networks). Liquid State Machine (LSM), as the spiking version of reservoir computing, shows advantages and great potential in...
Article
In this work, an amino functionalized metal organic framework (MOF), MIL-125(Ti)-NH2, is modified by salicylaldehyde via Schiff-base reaction, and the grafted organic substituent is further coordinated with ferric ions to form a half-salen Fe(III) covalently functionalized MOF, MIL-125(Ti)-Sal-Fe. The as-prepared composite is evaluated by light-dri...
Article
In this study, a graphitic carbon nitride (g-C3N4) based ternary catalyst CuO/CuFe2O4/g-C3N4 (CCCN) is successfully prepared thorough calcination method. After confirming the structure and composition of CCCN, the as-synthesized composites are utilized to activate persulfate (PS) for the degradation of organic contaminant. While using tetracycline...
Article
The liquid state machine (LSM) is a spiking neural network (SNN) that usually is offline mapped to an NoC-based neuromorphic processor to perform a specific task. The creation of these LSM models does not consider the structure of Network on Chip (NoC) which results in heavy communication pressure on the NoC. This paper proposes a hardware-aware ge...
Article
Silicon monoxide (SiO) is an attractive anode material for next-generation lithium-ion batteries for its ultra-high theoretical capacity of 2680 mAh g-1. The studies to date have been limited to electrodes with a relatively low mass loading (< 3.5 mg cm-2), which has seriously restricted the areal capacity and its potential in practical devices. Ma...
Article
Full-text available
Constructing electrode materials with fast ions and electrons transport channels is an effective solution to achieve high‐power‐density and long‐cycle potassium‐ion batteries (PIBs). Herein, completely opening radial pores in N/O dual‐doped carbon nanospheres (RPCNSs) are constructed as anode for high‐power PIBs. The RPCNS with hierarchical structu...
Article
Phosphoric acid (PA)-doped high-temperature proton exchange membranes (HTPEMs) suffer from low efficiency of proton transport and severe PA leakage. Constructing a stable continuous proton transport channel may be a promising method to address the above issues. Herein, a stable proton transport channel was constructed for the first time by in-situ...
Article
In this work, we prepared cobalt-carbonate (Co-Ci)/NiFeOOH double-layer co-catalyst on bismuth vanadate (BiVO4). Compared with the same type of electrode (Co-Pi/NiFeOOH/BiVO4 and Co-Sil/NiFeOOH/BiVO4), the photoelectrochemical (PEC) performance of the composite electrode presents the most excellent performance. The Co-Ci/NiFeOOH/BiVO4 electrode pre...
Article
The construction of rich phase interfaces to increase active reaction area in hybrid materials is an excellent strategy to improve electrochemical performance. Under this guideline, [email protected] organic framework (MOF) is constructed by the "MOF on MOF" method, then converts to [email protected] double hydroxides (LDH) by in situ transformatio...
Article
In this work, NiFe-Metal-Organic Frameworks (NiFe-MOFs) cocatalyst was prepared from NiFe-Layered Double Hydroxide (NiFe-LDH) through ligand assistance and constructed with BiVO4 as a novel composite photoanode. The photocurrent density of BiVO4 modified by NiFe-MOFs is increased by about 300%, and its stability is also remarkable improved. In addi...
Article
Determination of albuminuria at the point-of-care can provide an early diagnosis and monitor the quality management of numerous diseases. Yet for most fluorescent probes, the detection accuracy is not reliable, since urine itself exhibits very strong endogenous fluorescence causing a considerable interference on response signal. We herein report a...
Article
Cost-efficient, potassium–organic batteries with high stability are a high-profile technology for grid-scale energy storage. However, their development has been limited by the lack of stable cathode materials, which must be cost-effective without compromising performance. Here we present a commercially available organic cathode (BR-rGO) constructed...
Article
The serious surface charge recombination and fatigued photogenerated carriers transfer of the BiVO4 photoanode restrict its photoelectrochemical (PEC) water splitting performance. In this work, nickel fluoride (NiF2) is applied to revamp pure BiVO4 photoanode by using a facile electrodeposition method. As a result, the as-prepared NiF2/BiVO4 photoa...
Article
Proton-exchange membranes (PEMs) are considered as core components of high-temperature fuel cells. Phosphoric acid (PA) plays a pivotal role in the performance of PEMs and is especially vital for conductivity. This work reports the firstly successful preparation of metal–organic frameworks grafted with phosphate functionalized ligand, which introdu...
Article
In this work, Molybdenum (Mo) doped bismuth vanadate (BiVO4) is carried out by traditional calcination method, while carbon-based cobalt (Co-Ci) is prepared by photoelectric deposition (PED) and used as co-catalyst to decorate the surface, its photocurrent density reached 3.15 mA/cm² at 1.23 V vs RHE. More importantly, the H-Co-Ci/Mo: BiVO4 photoan...
Article
Potassium-ion batteries (PIBs) are of academic and economic significance, but still limited by the lack of highly active electrode materials for de-/intercalation of large-radius K ions. Herein, an interconnected nitrogen/sulfur co-doped carbon nanosheep bundle (N/S-CSB) was proposed as the potassium ions storage material. The rich co-doping of nit...
Article
Full-text available
Background Hepatocellular carcinoma (HCC) is one of the world’s most lethal malignant tumors with a poor prognosis. Growing evidence has been demonstrating that immune-related long non-coding RNAs (lncRNAs) are relevant to the tumor microenvironment (TME) and can help assess the effects of immunotherapy and evaluate one’s prognosis. This study aims...
Conference Paper
Spiking Neural Network (SNN) based neuromorphic processors have gained momentum due to their high energy efficiency. As a kind of SNN, Liquid State Machine (LSM) shows potential in domains such as image recognition and speech recognition, and it is simpler to train than other SNNs. In neuromorphic processors, weights and synapses are stored on-chip...
Article
Full-text available
Flexible and lightweight supercapacitors with superior mechanical flexibility and outstanding capacity are regarded as an ideal power source for wearable electronic devices. Meanwhile, incorporating additional novel characters such as transparency and electrochromism can further benefit the development of smart supercapacitors. Nevertheless, the ap...
Article
Commercial Cu and Al current collectors for lithium-ion batteries (LIBs) possess high electrical conductivity, suitable chemical and electrochemical stability. However, the relatively flat surface of traditional current collectors causes weak bonding strength and poor electrochemical contact between current collectors and electrode materials, resul...
Article
Liquid state machine(LSM) is an attractive spiking neural network (SNN) for Network-on-Chip(NoC)-based neuromorphic platforms due to their biological characteristics and hardware efficiency. But the randomly connected topology of the liquid in LSM and lots of communication spike bring different dataflow and communication congestion on the NoC-based...
Article
Monitoring of cysteine (Cys) is of significant importance for studying Cys-involved biological functions and clinically diagnosing Cys-related diseases. Recently, few fluorescent probes with two different reacting sites were reported to be capable of sensing different concentration ranges of Cys with distinct fluorescence signals, particularly suit...
Article
Neuromorphic event-based dynamic vision sensors (DVS) have much faster sampling rates and a higher dynamic range than frame-based imagers. However, they are sensitive to background activity (BA) events that are unwanted. We propose HashHeat, a hashing-based spatiotemporal BA filter for DVS. It is the first spatiotemporal filter that doesn't scale w...
Article
Increasing demand for detecting environmental and biological analytes in aqueous solutions based on fluorescent probes has raised the bar for the fluorophores used. Especially, the twisted intramolecular charge transfer (TICT) state of fluorophore can trigger the formation of a charge-separated non-emissive specie, leading to a low fluorescence bri...
Article
Full-text available
Purpose To explore whether miR-573 can suppress pancreatic cancer cell proliferation, migration, and invasion by targeting TSPAN1. Methods The expression of miR-573 and TSPAN1 in pancreatic cancer tissues and cells lines was analyzed using RT-qPCR. The human pancreatic cancer cell line PANC‑1 was transfected with miR-573 mimic, pcDNA3.1-TSPAN1, or...
Article
As a typical member of sulfide family, ZnIn2S4 bears impressive activity in photocatalysis. Nonetheless, egregious recombination of photo-excited electron and hole pairs confines its practical usage. In this study, PCN-224, a metal organic framework (MOF) composed of porphyrin linkers and Zr clusters, is employed to establish a novel hierarchical s...
Article
In this work, a covalent organic framework (COF), which is constructed by the building blocks of [5,10,15,20-tetrakis(4-aminophenyl)porphinato]copper(II) (CuTAPP) and p-benzaldehyde, is employed to integrate with TiO2 for the purpose of establishing a Z-scheme hybrid. Within the system, isonicotinic acid performs the role of a bridge that connects...
Article
Full-text available
Analog Computing In Memory (ACIM) combines the advantages of both Compute In Memory (CIM) and analog computing, making it suitable for the design of energy-efficient hardware accelerators for computationally intensive DNN applications. However, their use will introduce hardware faults that decrease the accuracy of DNN. In this work, we take Sandwic...
Article
As a new-type anode material for lithium-ion batteries, Zn2Ti3O8 has attracted enormous attention because of the low cost, excellent safety, and high theoretical capacity of 466 mAh g⁻¹. However, the practical capacity and cycling stability are always suppressed by poor intrinsic conductivity, sluggish reaction kinetics, and serious volume change d...
Article
Liquid state machines (LSMs), also known as the recurrent version of spiking neural networks, have garnered significant research interest owing to their high computational power, biological plausibility, simple structure, and low training complexity. By exploring the design space in network architectures and parameters, recent works have demonstrat...
Article
The power density and durability of fuel cell strongly rely on the properties of high-temperature (100 °C–200 °C) proton exchange membranes (HT-PEMs). Phosphoric acid-doped polybenzimidazole (PA-PBI) membranes are one of the most promising materials for HT-PEMs. However, the performance and durability of PA-PBI membranes still need to be improved....
Article
Metal-organic framework (MOF) nanoparticles with an inherently ordered porous structure are a promising component for improving the safety of rechargeable batteries. However, a separator combining the polybenzimidazole (PBI) matrix and the MOF filler has not yet been developed to optimize lithium-ion batteries (LIBs). Here, an effective strategy ha...
Article
Constructing a heterojunction structure is considered to be a promising strategy in the field of photocatalytic reduction of CO 2 . Herein, In 2 S 3 /TiO 2 composite materials were successfully prepared by a hydrothermal method and constructed a typical type II heterojunction. Through optimizing the In 2 S 3 /TiO 2 ratio, a high separation efficien...
Article
In this study, TiO2 nanosheets are employed as a template to prepare La2Ti2O7/TiO2 (TL), which is further modified by Fe3O4 to form a ternary catalyst La2Ti2O7/TiO2/Fe3O4 (TLF). The as-synthesized composite is confirmed by scanning electron microscopy (SEM), X-ray diffraction (XRD), transmission electron microscopy (TEM), and UV-vis DRS spectra. Ac...
Chapter
Despite CNN-based deblurring models have shown their superiority on solving motion blurs, how to restore photorealistic images from severe motion blurs remains an ill-posed problem due to the loss of temporal information and textures. Video deblurring methods try to extract meaningful temporal information in multiple consecutive blurry frames durin...
Article
Heteroatoms containing conjugated polymers have played a significant role in the field of organic electronic materials owing to their unique chemical and physical properties. However, the effects of heteroatoms on the performance of organic thermoelectric materials and composites have rarely been explored. In this work, three kinds of dithiophene c...
Article
Full-text available
Despite great progress of lithium-sulfur (Li-S) battery performance at the laboratory-level, both key parameters and challenges at cell scales to achieve practical high energy density require high-sulfur-loading cathodes and lean electrolytes. Herein, a novel carbon foam integrated by hollow carbon bubble nanoreactors with ultrahigh pore volume of...
Article
In this work, a simple hydrothermal and plasma treatment strategy is adopted to prepare super-hydrophilic H-CoAl-LDH/BiVO4 photoanode. The water affinity of the as-prepared photoanode and its water oxidation performance were investigated. The super-hydrophilic anode can provide a photocurrent of 3.5 mA/cm² at 1.23 V vs. RHE (0.5 M Na2SO4, AM 1.5 G...
Article
Porous polybenzimidazole (PBI) membranes with high ability to store phosphoric acid (PA) and transfer protons are promising materials as high-temperature proton exchange membranes (HT-PEMs) for fuel cell applications. However, porous...
Chapter
A biologically inspired event camera being able to produce more than 500 pictures per second [1], has been proposed in recent years. Event cameras can achieve profound efficiency in addressing many drawbacks of traditional cameras, for example redundant data and low frame rate during classification. In this paper, we apply a Celex IV DVS camera to...
Article
Polybenzimidazole membrane exhibits a promising application prospect in the high-performance and safe operation of lithium-ion batteries (LIBs). However, the relevant characterization and analysis of their safety mechanism is extremely lacking. Herein, a poly(aryl ether benzimidazole) (OPBI) non-woven fabric is prepared by electrospinning technolog...
Chapter
With the popularity of the applications equipped with neural networks on edge devices, robustness has become the focus of researchers. However, when deploying the applications onto the hardware, environmental noise is unavoidable, in which errors may cause applications crash, especially for the safety-critic applications. In this paper, we propose...
Article
Full-text available
Advances in neuroscience have encouraged researchers to focus on developing computational models that behave like the human brain. HMAX is one of the potential biologically inspired models that mimic the primate visual cortex’s functions and structures. HMAX has shown its effectiveness and versatility in multi-class object recognition with a simple...