Lin Zhang

Zhejiang University | ZJU · 计算机学院

The widespread applications of Digital Twins are facing a significant challenge due to the lack of systematic and effective credibility evaluation methods. To address this issue, this chapter analyzes the dynamic evolution, virtual-real interactivity, and other key features of Digital Twins. Subsequently, a credibility evaluation framework for Digi...

Estimating the relative pose between a camera and a LiDAR holds paramount importance in facilitating complex task execution within multi-agent systems. Nonetheless, current methodologies encounter two primary limitations. First, amid the cross-modal feature extraction, they typically employ separate modal branches to extract cross-modal features fr...

Surface or interface engineering is one of the most effective strategies to improve the device performance and stability of perovskite solar cells (PSCs), owing to the fact that the defects are mainly located at the surface. Organosilanes are among the most promising surface modifiers due to their unique cross‐linking ability, which makes a robust...

Depth completion aims to estimate dense depth images from sparse depth measurements with RGB image guidance. However, previous approaches have not fully considered sparse input fidelity, resulting in inconsistency with sparse input and poor robustness to input corruption. In this paper, we propose the deep unrolled Weighted Graph Laplacian Regulari...

2D Dion–Jacobson (DJ) perovskites show structural stability and tunability and are regarded as promising photovoltaic materials. The spacer cations play an important impact on exciton separation and charge transport of 2D perovskites. Herein, a novel spacer with thiazole as core, 2‐thiazolemethanammonium (AMT), owning characters of small molecular...

2D Dion–Jacobson (2D DJ) perovskites are considered as promising photovoltaic materials due to their structural stability and spacer designability. Here, a spacer cation with an aromatic imidazole ring, 2‐(1H‐imidazol‐2‐yl)ethylammonium (HE), is successfully applied to construct 2D DJ perovskite. It's found that the high polarity of the HE spacer s...

Nowadays, depression has been widely concerned due to the growing depressed population. Depression is a global mental problem, the worst case of which can lead to suicide. However, factors such as high treatment costs and social stigma prevent people from obtaining effective treatments. Chatbot technology is one of the main attempts to solve the pr...

Yield and its components are greatly affected by climate change. Adjusting the sowing date is an effective way to alleviate adverse effects and adapt to climate change. Aiming to determine the optimal sowing date of summer maize and clarify the contribution of climatic variables to grain yield and its components, a consecutive 4-year field experime...

Thermo‐responsive smart materials have aroused extensive interest due to the particular significance of temperature sensing. Although various photoluminescent materials are explored in thermal detection, it is not applicable enough in X‐ray radiation environment where the accuracy and reliability will be influenced. Here, a strategy is proposed by...

The field of novel-view synthesis has recently witnessed the emergence of 3D Gaussian Splatting, which represents scenes in a point-based manner and renders through rasterization. This methodology, in contrast to Radiance Fields that rely on ray tracing, demonstrates superior rendering quality and speed. However, the explicit and unstructured natur...

As an emerging technology, digital twin is expected to bring novel application modes to the whole life cycle process of unmanned ground equipment, including research and development, design, control optimization, operation and maintenance, etc. The highly dynamic, complex, and uncertain characteristics of unmanned ground equipment and the battlefie...

Recently, sparse-inertial human pose estimation (SI-HPE) with only a few IMUs has shown great potential in various fields. The most advanced work in this area achieved fairish results using only six IMUs. However, there are still two major issues that remain to be addressed. First, existing methods typically treat SI-HPE as a temporal sequential le...

Nickel oxide is one of the most promising hole‐transporting materials in inverted perovskite solar cells (PSCs) but suffers from undesired reactions with perovskite which leads to limited device performance and stability. Self‐assembled monolayers (SAMs) are demonstrated to effectively optimize the NiOx/perovskite interface, but the significance of...

With the rapid development of high‐power electronics in aerospace, communication, and energy storage systems, the huge heat flux poses an increasing threat to the safety of electronic devices. Compared with thin films of a few micro thicknesses, high‐quality graphene thick film (GTF) exceeding hundreds of microns thickness is a promising candidate...

The river chief system (RCS) is an innovative reform in China for strengthening the management of rivers and lakes. It is an important means of curbing the current severe water-environment situation. However, the policy impact of the RCS is still inconclusive in the existing literature. Using monthly data spanning from January 2015 to March 2022 fr...

Long-term monitoring and recognition of underwater organism objects are of great significance in marine ecology, fisheries science and many other disciplines. Traditional techniques in this field, including manual fishing-based ones and sonar-based ones, are usually flawed. Specifically, the method based on manual fishing is time-consuming and unsu...

In recent years, how to achieve stable localization and construct high-quality dense maps in large-scale scenes has become a research highlight. In large-scale scenes, for the consideration of the mapping accuracy and efficiency, multi-agent systems rather than single-agent ones are usually employed. Currently, as far as we know, collaborative VI-S...

Questioning is one of the essential tactics for demonstrating empathy in social dialogues. Effective questioning can guide individuals to express their experiences, feelings, and thoughts, aiming to establish emotional connections and deepen interpersonal understanding. However, how to generate empathetic questions in emotional support conversation...

Remaining useful life (RUL) prediction is crucial for ensuring the safety and reliability of industrial equipment. Although deep learning methods have proposed high-accuracy solutions for RUL prediction, a conflict arises between the limited edge computing resources and the significant memory requirements of deep models. This paper proposes a Binar...

The radiance field, emerging as a novel 3D scene representation, has found widespread application across diverse fields. Standard radiance field construction approaches rely on the ground-truth poses of key-frames, while building the field without pose prior remains a formidable challenge. Recent advancements have made strides in mitigating this ch...

The first NbO-type Eu/Tb-mixed lanthanide metal-organic framework has been developed for the highly sensitive self-calibrating detection of cryogenic temperature.

With the rapid advancement of metaverse technology, the military field has gradually begun to pay attention to the potential applications of metaverse technology. The military metaverse is a new and comprehensive military ecosystem that integrates the virtual world and the real world, unlocking new possibilities in areas such as military training,...

Electrospinning is a cost-effective technique for nanofiber fabrication with the most control over the parameters of nanofibers varying in size, shape, and doping. The as-prepared electrospun nanofiber membranes (ENMs) benefitting from characteristics such as interconnected porous structure, high porosity, large specific surface area, and flexible...

Electrospun nanofiber membranes (ENMs) have been widely used to treat oil/water emulsions, on account of their open-cell pores, high porosity and easily tunable structures. These physical characteristics endow ENMS membranes with high permeability in separating micron-sized oil/water droplets. Advanced ENMs in application of oil–water separation ar...

In healthcare, small‐scare data are stored with individual entities, such as hospitals, and they are not shared. However, data with one entity are not sufficient for training a machine learning model and therefore cannot be fully utilized. Given that a large amount of small‐scale data is widely distributed between hospitals/individuals, it is neces...

Bulblet initiation, including adventitious bud initiation and bulblet formation, is a crucial process for lily and other bulbous flowers that are commercially propagated by vegetative means. Here, by a hybrid strategy combining Pacific Biosciences (PacBio) full-length sequencing and Illumina RNA sequencing (RNA-seq), high-quality transcripts of L....

Wet-chemical synthesis via heating bulk solution is powerful to obtain nanomaterials. However, it still suffers from limited reaction rate, controllability, and massive consumption of energy/reactants, particularly for the synthesis on specific substrates. Herein, we present an innovative wet-interfacial Joule heating (WIJH) approach to synthesize...

In recent years, the proportion of the elderly in the society is continuously increasing. Cardiovascular disease is a big problem that puzzles the health of the elderly. Among them, atrial fibrillation is one of the most common arrhythmia diseases in recent years, which poses a great threat to human life safety. At the same time, deep learning has...

Thin film composite polyamide (TFC) nanofiltration (NF) membranes represent extensive applications at the water-energy-environment nexus, which motivates unremitting efforts to explore membranes with higher performance. Intrusion of polyamide into substrate pores greatly restricts the overall membrane permeance because of the excessive hydraulic re...

As an enabling technology and means to practice the concept of intelligent manufacturing, digital twin has attracted extensive attention from both industry and academia. In view of the lack of concrete implementation methods of digital twin robot assembly lines, and the complex implementation process, and long development cycle using existing metho...

Ionic current measurement has been the dominant signaling strategy in nanochannel-based sensors. However, the direct probing of the capture of small molecules is still challenging, and the sensing potential of the outer surface of nanochannels is always ignored. Here, we report the fabrication of an integrated nanochannel electrode (INCE) with nano...

Membranes have been extensively studied and applied in various fields owing to their high energy efficiency and small environmental impact. Further conferring membranes with stimuli responsiveness can allow them to dynamically tune their pore structure and/or surface properties for efficient separation performance. This review summarizes and discus...

Locating the sound source is one of the most important capabilities of robot audition. In recent years, single-source localization techniques have increasingly matured. However, localizing and tracking specific sound sources in multi-source scenarios, which is known as the cocktail party problem, is still unresolved. In order to address this challe...

The exploitation of high-performance electrode materials is significant to develop supercapacitors with satisfied energy and power output properties. In this study, a g-C3N4/Prussian-blue analogue (PBA)/Nickel foam (NF) with hierarchical micro/nano structures was developed by a simple salts-directed self-assembly approach. In this synthetic strateg...

Dynamic evolution is the most typical feature of a digital twin, making it different from a traditional digital model. Dynamic evolution is also the core technology for building equipment digital twins because it ensures consistency between physical space and virtual space. This paper proposes a dynamic evolution framework for black box equipment d...

The sustainable high yield of crops is critically important under the current situation of global climate warming. In order to improve regional yield, it is urgent to clarify the limiting factors of local grain yield and change the traditional planting measurements to adapt to the warming climate and make full use of climate resources. Long-term fi...

Balancing the trade-off between permeability and selectivity while realizing multiple sieving from complex matrices remains as bottlenecks for membrane-based separation. Here, a unique nanolaminate film of transition metal carbide (MXene) nanosheets intercalated by metal-organic framework (MOF) nanoparticles was developed. The intercalation of MOFs...

Background and objective: COVID-19 is a serious threat to human health. Traditional convolutional neural networks (CNNs) can realize medical image segmentation, whilst transformers can be used to perform machine vision tasks, because they have a better ability to capture long-range relationships than CNNs. The combination of CNN and transformers t...

The automatic segmentation of lung lesions from COVID-19 computed tomography (CT) images is helpful in establishing a quantitative model to diagnose and treat COVID-19. To this end, this study proposes a lightweight segmentation network called the SuperMini-Seg. We propose a new module called the transformer parallel convolution module (TPCB), whic...

Nanofiltration (NF) plays an increasingly central role in water/salts separation, which puts forward tailored requirements on NF membranes in a variety of application scenarios. However, the ambiguous separation mechanisms of NF including membrane structure parameters and operating conditions hinder the rational design of versatile NF membranes. He...

The SCS M&S Body of Knowledge is closed by a chapter on trends, desirable features, and challenges. Where are we going with simulation? How are other supporting disciplines evolving? What are current simulation technology trends? The following section on desirable features elaborates on the ideal characteristics set to make modeling and simulation...

The SCS M&S Body of Knowledge is a living concept, and core research areas are among those that will drive its progress. In this chapter, conceptual modeling constitutes the first topic, followed by the quest for model reuse. As stand-alone applications become increasingly rare, embedded simulation is of particular interest. In the era of big data,...

This chapter deals with models, data, and their relations and use. It introduces the big picture of the SCS M&S Body of Knowledge, providing taxonomies for models and their uses and resulting perceptions as well as an extensive section on data. It addresses the questions of modeling and various modeling formalisms, model engineering, and model cura...

The increase in computational capabilities affects the simulation domain. This chapter of the SCS M&S Body of Knowledge looks in the state of the art of digital simulation, mobile simulation, and wearable simulation. It further describes cloud-based simulation and high-performance simulation, with additional sections on parallel evolutionary algori...

Modeling and simulation has been applied to power, military, aerospace and many other fields. In view of the complex characteristics of complex systems, the support of model base system is essential. However, most of the existing simulation model library systems are aimed at a single field or a single simulation environment, and some can be aimed a...

Requirements modeling is often the first step in the development of complex products related to the fields of aviation, aerospace, and shipping. Requirements changes are made throughout the entire lifecycle of complex product development, making it critical to effectively track, manage, and quickly validate requirements. Existing requirements model...

Perovskite/organic tandem solar cells (TSCs) have attracted increasing attention owing to their potential for high performance solution processable photovoltaics. However, Br/I mixed-halide perovskites as the active of wide band gap...

Industrial Internet-of-things enables various manufacturing processes executed in distributed production lines and flexible workshops. With different cloud-edge-device collaboration ways, interconnected manufacturing tasks and computational tasks are cooperatively completed in manufacturing cells, cloud resources, and edge resources. Large-scale de...