Cell Architecture Research Articles

Charge carrier dynamics across the metal oxide/BaTiO3 interfaces toward photovoltaic applications from the theoretical perspective

Transport layers in perovskite solar cells are the crucial parts in charge carrier extraction and transfer in the solar cell circuit. The physical and chemical properties of their interfaces with neighbouring layers, such as buffer layers, govern the dynamics of electrons across the interface boundaries. Using ab initio calculations, we study in detail the interface properties of metal oxide/BaTiO3 heterostructures. The structural changes near the metal oxide/BaTiO3 interfaces are detailed for the first time. The electronic properties are used to assess the quantities of interest for use in perovskite solar cells (band gap, effective mass, carrier mobility, plane averaged electrostatic potential, band offsets). The analysed results introduce several competing quantities which influence the charge dynamics: the band gap character versus the charge carrier effective mass and the averaged electrostatic potential difference versus the unfavourable conduction band offset. While experimental studies are unable to distinguish the relevance of the competing factors, our results point to the fact that BaTiO3 interlayer morphology plays a more important factor in the cell's performance than its intrinsic properties. Based on the results, general insights are given on the structural requirements for improved buffer layer materials in combinations with metal oxide transport layer used as substrates in the solar cell architecture.

Metal-Supported Solid Oxide Cells for Energy Conversion, Electrolysis, and Chemical Synthesis

The LBNL metal-supported solid oxide cell architecture contains zirconia electrolyte and porous backbones co-sintered between porous stainless steel supports. Advantages of this design include low-cost structural materials, mechanical ruggedness, excellent tolerance to redox cycling, and extremely fast start-up capability. These features enable a wide variety of applications including electrolysis for intermittent renewables, distributed power generation, and synthesis of valuable chemicals. Highlights from efforts in these areas are presented.

Paracingulin recruits CAMSAP3 to tight junctions and regulates microtubule and polarized epithelial cell organization.

Paracingulin (CGNL1) is recruited to tight junctions (TJs) by ZO-1 and to adherens junctions (AJs) by PLEKHA7. PLEKHA7 has been reported to bind to the microtubule minus-end-binding protein CAMSAP3, to tether microtubules to the AJs. Here, we show that knockout (KO) of CGNL1, but not of PLEKHA7, results in the loss of junctional CAMSAP3 and its redistribution into a cytoplasmic pool both in cultured epithelial cells in vitro and mouse intestinal epithelium in vivo. In agreement, GST pulldown analyses show that CGNL1, but not PLEKHA7, interacts strongly with CAMSAP3, and the interaction is mediated by their respective coiled-coil regions. Ultrastructure expansion microscopy shows that CAMSAP3-capped microtubules are tethered to junctions by the ZO-1-associated pool of CGNL1. The KO of CGNL1 results in disorganized cytoplasmic microtubules and irregular nuclei alignment in mouse intestinal epithelial cells, altered cyst morphogenesis in cultured kidney epithelial cells, and disrupted planar apical microtubules in mammary epithelial cells. Together, these results uncover new functions of CGNL1 in recruiting CAMSAP3 to junctions and regulating microtubule cytoskeleton organization and epithelial cell architecture.

A modified architecture of a perovskite solar cell with an enhanced optical absorption in the visible spectrum

The incomplete absorption of light in the perovskite solar cells (PSCs) due to the escape of photons and the waste of their energy in the visible spectrum hinders the efficiency of this type of solar cell. Utilizing light-trapping nanostructures and stimulating the device’s plasmonic is an efficient way to increase absorption and reduce the energy losses. In this paper, a novel configuration of a nanostructured PSC with a plasmonic enhancement has been introduced to confine light in the active layer and boost energy harvesting. According to the conducted calculations, the modified configuration supports 23.4% higher short-circuit current density (J SC) and 21% power conversion efficiency compared to the conventional PSC. In this study, the finite element method has been employed to perform numerical simulations of the examined structures. For modeling and characterizing solar cells, optical physics of the devices is used in conjunction with their electrical physics.

A Comprehensive Approach to Sample Preparation for Electron Microscopy and the Assessment of Mitochondrial Morphology in Tissue and Cultured Cells.

Mitochondria respond to metabolic demands of the cell and to incremental damage, in part, through dynamic structural changes that include fission (fragmentation), fusion (merging of distinct mitochondria), autophagic degradation (mitophagy), and biogenic interactions with the endoplasmic reticulum (ER). High resolution study of mitochondrial structural and functional relationships requires rapid preservation of specimens to reduce technical artifacts coupled with quantitative assessment of mitochondrial architecture. A practical approach for assessing mitochondrial fine structure using two dimensional and three dimensional high-resolution electron microscopy is presented, and a systematic approach to measure mitochondrial architecture, including volume, length, hyperbranching, cristae morphology, and the number and extent of interaction with the ER is described. These methods areused to assess mitochondrial architecture in cells and tissue with high energy demand, including skeletal muscle cells, mouse brain tissue, and Drosophila muscles. The accuracy of assessment isvalidated in cells and tissue with deletion of genes involved in mitochondrial dynamics.

High‐Throughput Screening of High‐Entropy Fluorite‐Type Oxides as Potential Candidates for Photovoltaic Applications

AbstractHigh‐throughput (HT) synthesis and HT characterization techniques are becoming increasingly important due to the ever‐increasing complexity of materials and applications of advanced functional compounds. This work reports on the high‐throughput compilation of material libraries of high‐entropy oxides with fluorite crystal structure and tunable band gaps to be used as, e.g., semiconductors for photovoltaic applications. The material libraries cover the high‐entropy range of rare‐earth oxides with 5, 6, and 7 different cations (Ce, La, Sm, Pr, Tb, Y, and Zr) in near equimolar concentrations, but also the medium entropy range with 4 cations. The atmosphere used during or after synthesis is found to have a large effect on the band gap of these materials. Multivalent rare‐earth cations such as Ce/Pr/Tb enable reversible tuning of the band gap between 2.0 and 3.5 eV upon calcination under various oxidizing and reducing atmospheres. The high‐entropy fluorite oxides with smaller band gaps exhibit high electron mobility and transport energy levels compatible with common solar cell architectures.

Design and simulation of chalcogenide perovskite BaZr(S,Se)3 compositions for photovoltaic applications

Lead-free Perovskite materials have acquired a lot of interest owing to their potential to overcome the stability and toxicity concerns compared to traditional perovskite solar cells. Chalcogenide perovskites (ABX3, where A = Ba, B = Zr, X = S and/or Se) are emerging materials for photovoltaic (PV) applications. Computer-based designing of metal chalcogenide semiconductors, resulting in the identification of extremely appealing ABX3 substances and their derivatives that may be used as absorbers in thin-film PV devices. In this context, here the numerical studies are performed using the SCAPS-1D simulator for designing of chalcogenide perovskites-based solar cells. We used FTO (Fluorine-doped tin oxide), TiO2 as electron transport layer (ETL), BaZrS3, and BaZrSe3 as an absorber layer, Spiro-OMeTAD as a hole transport layer (HTL), and Au as a metal back contact. The simulations are conducted under AM 1.5G solar spectrum designed to maximise the efficiency of the proposed solar cell. The selection of the optimal parameters such as thickness, defect density and temperature for all the layers including absorber, FTO, ETM, and HTM is examined. The parameters are considered, keeping in mind their impact on solar cell performance, budget effectiveness, and the physics of the entire solar cell architecture. The effect of temperatures between 300 K to 450 K is studied. The results indicate that the power conversion efficiency (PCE), FF (fill factor), Voc (Open Circuit Voltage) and Jsc for BaZrS3 is 12.12%, 79.40%, 0.70 V, 22.00 mA cm−2, respectively, whereas for BaZrSe3 it is 25.84%, 77.32%, 0.72 V, 46.65 mA cm−2, respectively. This shows that BaZrSe3 has the potential to replace BaZrS3.

Highly efficient SnS-based inverted planar heterojunction solar cell with ZnO ETL

Tin Sulfide (SnS) is a promising absorber material for solar energy harvesting owing to the high absorption coefficient. Here, a novel inverted planar heterostructure of SnS based solar cell (ITO/NiOX/SnS/ZnO/Al) has been proposed for better efficiency among the different electron transport layers (ETLs), PCBM, C60, CeOX, and ZnO. The performance of the SnS based solar cell was theoretically studied by the Solar Cell Capacitance Simulator (SCAPS) software. Initially, we have been observed the device performance with different ETL materials to find the better ETL material. The layer parameters of the HTL, absorber layer, and ETLs have been optimized to find out the best performance of the device. The device showed efficiencies of around 26.44%, 26.33%, and 26.38% with the ETLs PCBM, C60, and CeOX respectively. The maximum power conversion efficiency (PCE) of ∼28.15% has been observed after incorporating ZnO ETL in the designed architecture of the SnS-based solar cell. Then, we have been investigated the performance of the SnS-based solar cell with ZnO ETL for the various value of carrier concentration, thickness, and bulk defect of the SnS absorber layer, defect of the interfaces of NiOX/SnS and SnS/ZnO, back metal contact’s work function, and its operating temperature. The variation of the different parameters has exhibited a substantial effect on the device performance. The VOC, JSC, FF, and PCE of the optimized SnS-based solar cell with ZnO ETL showed 0.8954 V, 37.316452 mA cm−2, 84.24%, and 28.15%, respectively. The visualization of the results indicates that ZnO might be a potential ETL for the highly efficient, low-cost inverted planar solar cells based on SnS.

Nanobubbles: a promising efficient tool for therapeutic delivery of antibacterial agents for the Staphylococcus aureus infections.

The current research is focused to address the implementation of nanobubbles technology to antibacterial agents against Staphylococcus aureus infections. Nanobubbles technology is a novel, latest research employed in many medical fields including drug discovery. In this present work, supramolecular nanoliquid formulation of potential antiseptic agent chloroxylenol-based Dettol and its enhanced antibacterial activity, biocompatibility assessment was studied. Nanobubble technology was adopted to prepare nanoformulation (NB-D) using a household hand mixer under thermostatically controlled conditions. A high-stability nanoformulation with high potential antibacterial activity against human pathogenic strains of Pseudomonas aeruginosa and Staphylococcus aureus was produced by the nanobubbles created in the antiseptic solution. The overall vitality of both strains was significantly reduced in all dose tests on NB-D treatment as a result of the antibacterial activity as assessed by the well-diffusion assay, turbidometric microdilution assay, biofilm inhibition assay, and total count reduction assay. Biocompatibility of the NB-D formulation was studied by the determination of cytotoxicity against HaCaT-human keratinocytes and hemocytes. NB-D treatment did not induce any notable cytotoxic effect on HaCaT cells by showing none of the changes in cell morphology and architecture. No toxic effect on the hematocytes was observed in NB-D treatment. The enhanced antibacterial activity and best biocompatibility of NB-D result shows that the nanobubble technology could be used as an effective strategy for the formulation of antiseptics or disinfectants against high health risk infectious organisms. The novelty of the work is the formation of supramolecular nanoformulation on antiseptic agent which promised the results enhanced than the raw antiseptic agent.

Combining 3D Printing and Electrochemical Deposition for Manufacturing Tailor-Made 3D Nickel Foams with Highly Competitive Porosity and Specific Surface Area Density

One of the most promising and heavily researched energy storage systems due to their high energy density, rate capability and extended cycle life are lithium-ion batteries. Their performance and efficiency are nonetheless strongly dependent on their constituent materials and design, including the current collectors. One attractive approach in this respect is the use of metal foams as an alternative to the conventional current collectors. This concept is therefore intended to increase the current collectors’ specific surface area and therefore load more active material by nominal area while keeping the cell architectures simple and less costly. In the present work, nickel is chosen as a model system for a proof of concept of a novel manufacturing method for nickel foams using a combination of 3D printing, coating and electroplating. The purpose is to create geometrically well-defined hollow structures with high porosity and specific surface area density that can rival and partially outperform the commercially available nickel foams. To this end, a 3D printer is used to create geometrically flexible and well-defined open-pored disks of HIPS (high-impact polystyrene), which are then spray coated with a graphite-based conducting layer and subsequently electroplated with a 5–30 µm thin layer of nickel from an additive-free nickel sulfamate electrolyte. Following the coating process, the support structure is dissolved with toluene, resulting in structures with a unique combination of porosity in the range of 92.3–99.1% and an ultra-high specific surface area density up to 46 m2/kg. Morphological characterization by light and scanning electron microscopy has proven that the temporarily required polymer substrate can be mildly and completely removed by the suggested room temperature dissolution process.

Influence of Sterculia setigera Delile extract on oxidative stress enzyme activity and treatment of impaired glucose homeostasis in Streptozotocin-induced diabetic Wistar rats

BackgroundSterculia setigera Delile is a plant member of Sterculiacea family whose ethnobotanical investigation has revealed medicinal virtues. Traditional Chinese medicine (TCM) has several advantages as it includes a wide variety of plants, low cost, minimal toxic and side effects. More significantly, many bioactive compounds such as flavonoids, tannins and saponins are active constituents of traditional Chinese medicinal plants, which generally have no adverse effects. This study aimed to evaluate the influence of S. setigera Delile extract in impairing hyperglycemia and oxidative stress induced by streptozotocin in Wistar rats. MethodsThe intraperitoneal injection of streptozotocin (65 mg/kg) generated hyperglycemia in male Wistar rats. Diabetic animals were treated for 4 weeks with S. setigera extract. Insulin concentration and lipid profile biomarkers were evaluated. Oxidative stress biomarkers were assessed in pancreas and kidney. Histological sections of pancreas and kidney were made. ResultsAfter 4 weeks of treatment, the extract could decrease blood glucose levels by CI% (-92.3 to -39.94) compared to the diabetic control. Serum insulin, triglycerides and total cholesterol were improved towards their normal values. Pancreatic and renal cell architecture, were also improved in animals treated with the extract. ConclusionS. setigera extract could thus reverse hyperglycemia, dyslipidemia and oxidative stress in streptozotocin diabetic rats.

Policy gradient empowered LSTM with dynamic skips for irregular time series data

Time series modelling has been successfully handled by Long Short-Term Memory (LSTM) models. Yet their performance can be severely inhibited by the occurrence of missing values prevalent in many real-life datasets. Many previous studies have been dedicated to imputation methods for generating a complete time series sequence, which have their limitations in terms of imputation bias and inaccuracies. In this paper, we propose a new LSTM model incorporating policy gradient (PG) based reinforcement learning called PG-LSTM, which can mitigate the effect of missing data and capture time-based input feature patterns more effectively to improve prediction performance. Inspired by numerous sequence models’ successes in improving the efficiency of processing language data by skipping irrelevant tokens, the PG-LSTM introduces dynamic skip connections between LSTM cell states for time series data for classification and regression tasks for the first time. Specifically, the proposed model comprises a modified LSTM cell architecture that can internally call a policy-based reinforcement learning agent to generate a skipping action, allowing the model to dynamically select the optimal subset of hidden and cell states from past states to capture periodic and non-periodic patterns within a time series sequence. Moreover, the PG-LSTM also designs a lightweight imputation layer using a simple missing value imputation strategy while incorporating missing indicators and skipping segments of unimportant data to reduce the limitations associated with imputed data for handling missing values. Our experimental results on regression and classification tasks on time series data with high rates of missing values demonstrate that the PG-LSTM improves performance against current gated recurrent neural networks (RNN) and conventional non-neural network algorithms. The PG-LSTM can enhance AUC by up to 18.5% in the classification task and RMSE by up to 19.3% in the regression task over gated RNN models, respectively. Our findings are also statistically analysed using statistical significance testing with post hoc analysis.

Neutrophil aging exacerbates high fat diet induced metabolic alterations

BackgroundHigh fat diet (HFD) chronically hyper-activates the myeloid cell precursors, but whether it affects the neutrophil aging is unknown. PurposeWe characterized how HFD impacts neutrophil aging, infiltration in metabolic tissues and if this aging, in turn, modulates the development of metabolic alterations.We immunophenotyped neutrophils and characterized the metabolic responses in physiology (wild-type mice, WT) and in mice with constitutively aged neutrophils (MRP8 driven conditional deletion of CXCR4; herein CXCR4fl/flCre+) or with constitutively fresh neutrophils (MRP8 driven conditional deletion of CXCR2; CXCR2fl/flCre+), following 20 weeks of HFD feeding (45 % kcal from fat). FindingsAfter 20 weeks HFD, the gluco-metabolic profile of CXCR4fl/flCre+ mice was comparable to that of WT mice, while CXCR2fl/flCre+ mice were protected from metabolic alterations.CXCR4fl/flCre+ infiltrated more, but CXCR2fl/flCre+ neutrophils infiltrated less, in liver and visceral adipose tissue (VAT). As consequence, while CXCR4fl/flCre+ resulted into hepatic “suicidal” neutrophils extracellular traps (NETs) and altered immune cell architecture in VAT, CXCR2fl/flCre+ promoted proresolutive hepatic NETs and reduced accumulation of pro-inflammatory macrophages in VAT.In humans, higher plasma levels of Cxcl12 (CXCR4 ligand) correlated with visceral adiposity while higher levels of Cxcl1 (the ligand of CXCR2) correlated with indexes of hepatic steatosis, adiposity and metabolic syndrome. ConclusionsNeutrophil aging might contribute to the development of HFD induced metabolic disorders.

Recent Progress and Challenges in Faradic Capacitive Desalination: From Mechanism to Performance.

Due to substantial consumption and widespread contamination of the available freshwater resources, green, economical, and sustainable water recycling technologies are urgently needed. Recently, Faradic capacitive deionization (CDI), an emerging desalination technology, has shown great desalination potential due to its high salt removal ability, low consumption, and hardly any co-ion exclusion effect. However, the ion removal mechanisms and structure-property relationships of Faradic CDI are still unclear. Therefore, it is necessary to summarize the current research progress and challenges of Faradic CDI. In this review, the recent progress of Faradic CDI from five aspects is systematically reviewed: cell architectures, desalination mechanisms, evaluation indicators, operation modes, and electrode materials. The working mechanisms of Faradic CDI are classified as insertion reaction, conversion reaction, ion-redox species interaction, and ion-redox couple interaction in the electrolytes. The intrinsic and desalination properties of a series of Na+ and Cl- capturing materials are described in detail in terms of design concepts, structural analysis, and synthesis modulation. In addition, the effects of different cell architectures, operation modes, and electrode materials on the desalination performance of Faradic CDI are also investigated. Finally, the work summarizes the challenges remaining in Faradic CDI and provides the prospects and directions for future development.

Morphological profiling by high-throughput single-cell biophysical fractometry

Complex and irregular cell architecture is known to statistically exhibit fractal geometry, i.e., a pattern resembles a smaller part of itself. Although fractal variations in cells are proven to be closely associated with the disease-related phenotypes that are otherwise obscured in the standard cell-based assays, fractal analysis with single-cell precision remains largely unexplored. To close this gap, here we develop an image-based approach that quantifies a multitude of single-cell biophysical fractal-related properties at subcellular resolution. Taking together with its high-throughput single-cell imaging performance (~10,000 cells/sec), this technique, termed single-cell biophysical fractometry, offers sufficient statistical power for delineating the cellular heterogeneity, in the context of lung-cancer cell subtype classification, drug response assays and cell-cycle progression tracking. Further correlative fractal analysis shows that single-cell biophysical fractometry can enrich the standard morphological profiling depth and spearhead systematic fractal analysis of how cell morphology encodes cellular health and pathological conditions.

Bacterial Subcellular Architecture, Structural Epistasis, and Antibiotic Resistance.

Epistasis refers to the way in which genetic interactions between some genetic loci affect phenotypes and fitness. In this study, we propose the concept of "structural epistasis" to emphasize the role of the variable physical interactions between molecules located in particular spaces inside the bacterial cell in the emergence of novel phenotypes. The architecture of the bacterial cell (typically Gram-negative), which consists of concentrical layers of membranes, particles, and molecules with differing configurations and densities (from the outer membrane to the nucleoid) determines and is in turn determined by the cell shape and size, depending on the growth phases, exposure to toxic conditions, stress responses, and the bacterial environment. Antibiotics change the bacterial cell's internal molecular topology, producing unexpected interactions among molecules. In contrast, changes in shape and size may alter antibiotic action. The mechanisms of antibiotic resistance (and their vectors, as mobile genetic elements) also influence molecular connectivity in the bacterial cell and can produce unexpected phenotypes, influencing the action of other antimicrobial agents.

Igh and Igk loci use different folding principles for V gene recombination due to distinct chromosomal architectures of pro-B and pre-B cells

Extended loop extrusion across the immunoglobulin heavy-chain (Igh) locus facilitates VH-DJH recombination following downregulation of the cohesin-release factor Wapl by Pax5, resulting in global changes in the chromosomal architecture of pro-B cells. Here, we demonstrate that chromatin looping and VK-JK recombination at the Igk locus were insensitive to Wapl upregulation in pre-B cells. Notably, the Wapl protein was expressed at a 2.2-fold higher level in pre-B cells compared with pro-B cells, which resulted in a distinct chromosomal architecture with normal loop sizes in pre-B cells. High-resolution chromosomal contact analysis of the Igk locus identified multiple internal loops, which likely juxtapose VK and JK elements to facilitate VK-JK recombination. The higher Wapl expression in Igμ-transgenic pre-B cells prevented extended loop extrusion at the Igh locus, leading to recombination of only the 6 most 3’ proximal VH genes and likely to allelic exclusion of all other VH genes in pre-B cells. These results suggest that pro-B and pre-B cells with their distinct chromosomal architectures use different chromatin folding principles for V gene recombination, thereby enabling allelic exclusion at the Igh locus, when the Igk locus is recombined.

Combining AFM, XPS and chemical hydrolysis to understand the complexity and dynamics of C. vulgaris cell wall composition and architecture

The microalgae cell wall represents its interface with its environment, and is a dynamic and complex structure that evolves depending on the growth phase or culture conditions. To apprehend this complexity, an experimental approach combining AFM, XPS, and chemical hydrolysis followed by HPAEC-PAD was developed to understand the cell wall of Chlorella vulgaris, a biotechnologically-relevant green microalgae species. Exponential and stationary growth stages were investigated, as well as saline stress condition inducing lipid production. Results showed that both the cell wall composition and architecture changes in stationary phase, with an increase of the lipidic fraction at the expense of the proteic fraction, changes in the polysaccharidic composition, and a significant increase of its rigidity. Under saline stress, cell wall architecture seems to be affected as importantly, its rigidity is reduced. Altogether, this study demonstrates the power of combining these three techniques to give new insights into C. vulgaris cell wall, in terms of composition and architecture, and of its dynamics in different conditions.

Thieno[3,2-b]thiophene and triphenylamine-based hole transport materials for perovskite solar cells

Heterocyclic compounds have played significant roles in achieving high performance as hole transport materials (HTMs) for perovskite solar cell (PSC) applications. Various studies have focused on the development of fused heterocyclic conjugated structures for hole transport materials. In this report, three novel π-extended conjugated materials (M1-M3), based on thieno[3,2-b]thiophene (TT) and 4,4′-dimethoxytriphenylamine [TPA(OMe)2], were designed and successfully synthesized via Palladium (0) catalyzed Suzuki coupling reaction. Their optical, electrochemical, and thermal properties were investigated by UV-Vis, fluorescence, cyclic voltammetry, and thermal analysis. The materials were utilized as hole transport materials in p-i-n architecture perovskite solar cells, which displayed performances of open-circuit voltage (Voc) as high as 1,050 mV, a maximum short-circuit current (Jsc) of 16,9 mA/cm2, a maximum fill factor (FF) of 29.3%, and a power conversion efficiency (PCE) of 5.20%. This work demonstrated that thieno[3,2-b]thiophene and TPA(OMe)2-based structures are promising cores for high-performance hole transport materials in perovskite solar cell architecture.

Modeling nonlinear flutter behavior of long‐span bridges using knowledge‐enhanced long short‐term memory network

AbstractThe nonlinear characteristics of bridge aerodynamics preclude a closed‐form solution of limit‐cycle oscillation (LCO) amplitude and frequency in the post‐flutter stage. To address this issue, a long short‐term memory (LSTM) network is utilized as the reduced‐order modeling of nonlinear aeroelastic forces on the bridge deck section, and it is repeatedly employed to generate force inputs at spanwise nodes of a three‐dimensional (3D) finite element model (FEM) of the long‐span bridge (using spatial beam elements). All LSTM networks are dynamically coupled through FEM, and the 3D nonlinear flutter response is accordingly obtained. To improve the simulation accuracy and reduce the required training data of the standard LSTM network, both general knowledge (motivated by the gating mechanism and mathematical models for information processing) and domain knowledge (resulting from the basic understanding of bridge aerodynamics) are leveraged to, respectively, customize the LSTM cell and network architecture. In addition, a fast‐training algorithm effectively combining the linear convergence of stochastic gradient descent and superlinear convergence of modified Broyden–Fletcher–Goldfarb–Shanno is developed to improve the training efficiency of the obtained knowledge‐enhanced LSTM network. To further advance the computational efficiency of the coupled LSTM‐FEM nonlinear flutter analysis, the convolution‐based numerical integration is adopted in the finite element modeling of long‐span bridge dynamics. A case study of a long‐span suspension bridge under strong winds demonstrates the proposed 3D nonlinear flutter analysis presents high simulation efficiency and accuracy and can be utilized to effectively obtain the nonlinear LCO characteristics in a wide range of post‐flutter wind speeds.