Complex Structure Research Articles

A novel Fourier domain scheme for three‐dimensional magnetotelluric modelling in anisotropic media

SUMMARYThis study presents a novel algorithm that combines the Lorenz gauge equations with the Fourier domain technique to simulate magnetotelluric responses in three‐dimensional conductivity structures with general anisotropy. The method initially converts the Helmholtz equations governing vector potentials into one‐dimensional differential equations in the wave number domain via the horizontal two‐dimensional Fourier transform. Subsequently, a one‐dimensional finite element method employing quadratic interpolation is applied to obtain three five‐diagonal linear equation systems. Upon solving these equations, the spatial domain fields are obtained via the inverse Fourier transform. This process guarantees the computational efficiency, memory efficiency and high parallelization of the algorithm. Moreover, an anisotropic medium iteration operator guarantees stable convergence of the method. The correctness, competence and applicability of the algorithm are verified using some synthetic models. The results demonstrate that the new method is efficient and performs well in anisotropic undulating terrain and complex structures. Compared to other Fourier domain methods and the latest edge‐based finite element algorithm, the proposed method exhibits superior computing performance. Finally, the impact of the Euler angles on the magnetotelluric responses is analysed.

Sea food by-products valorization for biomedical applications: evaluation of their wound regeneration capabilities in an Ex vivo skin model

IntroductionThe skin is often exposed to harmful stimuli that might compromise its integrity and functionality. After an injury, the skin has a limited capability to restore its complex structure, and in the case of severe skin damage, surgical operations and rapid application of wound dressings are often required to promote optimal wound healing. Nowadays, collagen-based biomaterials are widely used in combination with bioactive molecules able to prevent excessive inflammation and possible infections. In line with a circular economy and blue biotechnology approach, it was recently demonstrated that both collagen and bioactive molecules (i.e., antioxidant compounds) can be sustainably obtained from sea food by-products and effectively used for biomaterial development. Herein, we describe and compare the application of two marine collagen-based wound dressings (CBWDs), produced with materials obtained from sea urchin food waste, for the treatment of skin lesions in a wound healing organ culture (WHOC) model.MethodsThe ex vivo WHOC model was set up starting from rat skin explants and the induced lesions were assigned into three different groups: control (CTRL) group, not treated, marine collagen wound dressing (MCWD) group, and antioxidants-enriched marine collagen wound dressing (A-MCWD) group. After 5 and 10 days, specimens were examined for organ maintenance and assessed for the healing process.ResultsImmunohistochemical results showed that both CBWDs were similarly successful in prolonging skin repair, preserving the epidermal barrier up to 5 days under static culture conditions. Histological and gene expression analysis highlighted that the A-MCWD might support and accelerate skin wound healing by exerting antioxidant activity and counteracting inflammation.DiscussionOverall, these findings underline the potential of sea urchin food waste as a novel resource for the development of functional medical devices for the treatment of skin wounds.

Revealing the correlation between asymmetric structure and low thermal conductivity in Janus-graphene via machine learning force constant potential

Understanding the fundamental link between structure and functionalization is crucial for designing and optimizing functional materials, since different structural configurations could trigger materials to demonstrate diverse physical and chemical properties. However, the correlation between crystal structure and thermal conductivity (κ) remains unclear. In this study, taking two-dimensional (2D) carbon allotropes Janus-graphene and graphene as study cases, we utilize phonon Boltzmann transport equation combined with machine learning potential to thoroughly investigate the complex folding structure of pure sp2 hybridized Janus-graphene from the perspective of crystal structure, phonon modal resolved thermal transport, and atomic interactions, with the goal of identifying the underlying relationship between 2D geometry and κ. The results reveal that the folded structure in Janus-graphene causes strong symmetry breaking, significantly reduces phonon group velocities, increases phonon–phonon scattering, and ultimately leads to low κ. These findings enhance our understanding of how atomic structure folding affects thermal transport and the relationship between structure and functionalization.

Assessment of Vidian canal morphology in axial section and its associated structures using cone beam computed tomography: A descriptive study

The Vidian Nerve (VN), a branch of the trigeminal nerve, passes by the Vidian Canal (VC), located at the base of the skull. The VC branches into the greater petrosal nerve and the VN in the pterygopalatine fossa, where the greater petrosal nerve carries parasympathetic fibers to the lacrimal glands and nasal mucosa, and the VN carries sensory fibers from the nasopharynx, nasal cavity, and palate. In this study, 60 subjects of both sexes who underwent cone beam computed tomography (CBCT) were selected by a convenient sampling technique. The data were subjected to statistical analysis following the examination of the various parameters in the axial sections. Among the various morphological characteristics appraised in the axial section, there was no significant sexual dimorphism, except for the angle between the VC and the medial wall of the maxillary sinus, which shows statistical significance. The present study aims to investigate morphometric analysis and its associated structures, offering insightful information about the complex structure of the Vidian canal (VC), which provides adequate knowledge for surgeons to plan with more caution complex skull base procedures, and eventually to lower the therapeutical risks associated with it.

All-in-one, flexible, diversified self-powered sensors through embedded 3D printing

Abstract Triboelectric nanogenerators (TENGs) are characterized by zero power consumption and are often employed as self-powered sensors. However, the complex manufacturing process and expensive equipment limit the further promotion and application of self-powered sensors, which have become urgent challenges in this field. Here, a simple strategy using embedded 3D printing is proposed to enable the fabrication of diverse self-powered sensors in one-step, reducing production costs while increasing design flexibility. Specifically, the designed sensors composed of the silicone as the triboelectric layer and silicone/multi-walled carbon nanotubes as flexible electrodes with excellent all-in-one structures. Meanwhile, diversified self-powered sensors with different complex structures (e.g., planar array sensors and helical icosahedron sensors) were developed to meet the diverse needs of different applications, verifying the capability of the proposed embedded 3D printing method to design and customize sensors with various shapes and structures. In addition, the applications of these functionalized self-powered sensors in cryptographic simulation, pressure position detection, and impact force recognition have been successfully demonstrated. Therefore, this self-powered sensor based on embedded 3D printing has a promising future in human-computer interaction, collision detection and other fields.

Phytocenotic diversity of different types of mires in northern part of the Middle-Russian Upland

On Middle-Russian Upland, despite its low paludification, mires are formed on different elements of the relief, differ in their water-mineral regime and vegetation structure. Horizontal structure of the vegetation cover of mire ecosystems, as well as their cenotic diversity, remain poorly studied. However, these features are important for the typology of mires and can also be used in the organization of monitoring of mire ecosystems. The main purpose of this study is to identify the features of the horizontal structure of vegetation and to visualize the phytocenotic diversity of different types of mires using the cartographic method. The objects were 14 model mires located on different relief elements in the northern part of the Middle-Russian Upland. The conducted studies have revealed the cenotic diversity of the most common and specific types of mires in the northern part of the Middle-Russian Upland. Geobotanical maps were compiled for each mire. The maps of the model mires show 31 mapped units at the rank of association (29), formation (1) and unranked community (1). The identified syntaxons belong to woody, woody-moss, shrubby, hydrophilic-grass and hydrophilic-moss types of mire vegetation, which accounts for 63% of the cenotic diversity of the mires of the Middle-Russian Upland. The vegetation structure is often heterogeneous and heterotrophic, combining both eutrophic and meso- and oligotrophic communities, less often it is homogeneous. The watershed mires in karst-suffusion depressions are characterized by the largest number of distinguished taxa of vegetation and a complex horizontal structure of vegetation. The vegetation of mires formed in suffusion depressions on terraces and slopes of watersheds overlain by sandstone and moraine deposits is less diverse. Among these mires, pine-sphagnum ones are unique to the region because they are located at the southern limit of their distribution. Such mires are characterized by a homogeneous oligotrophic or heterogeneous homotrophic oligotrophic vegetation structure. The floodplain and ravine mires are represented only by an eutrophic group of types. Often the vegetation structure of such mires is homogeneous eutrophic, heterogeneity is ensured by changing the moisture regime or is a result of anthropogenic impact.

An Implicit Fillet‐Weld Element Formulation for Mesh‐Insensitive Fatigue Evaluation of Complex Structures

ABSTRACTIn fatigue evaluation of welded structures, explicit weld representations in finite element (FE) models are needed for reliably capturing stress or strain concentration behaviors at critical weld locations, for example, weld toe or weld root, in using widely accepted traction structural stress or extrapolation hot‐spot stress methods. The laborious efforts needed for generating weld geometry have been a major challenge for fatigue evaluation of complex structures containing many welds. In this paper, we present a user‐defined fillet‐weld element formulation and its numerical implementation for computing traction mesh‐insensitive structural stresses. The fillet‐weld element is formulated by connecting several linear four‐nodes Mindlin shell elements around weld region as a user‐defined element. The resulting elements can be directly used with major commercial FE codes through an available user subroutine interface. A number of well‐documented fillet‐welded components are then used for validating the accuracy and robustness of the developed fillet‐weld elements.

Container Management System in Batumi Port

Currently, the maritime economy of Georgia is developing quite rapidly. The special geopolitical position of our country in the Eurasian region, in the neighborhood of countries on the path of market reforms, forces the Georgian government to restore the infrastructure of the national economy to effectively use our territorial traditional advantages: mineral resources, free agricultural areas, a large coast, to create convenient port complexes. All this contributes to the development of modern marine transport, cargo, passenger, as well as mixed cargo-passenger complexes. Sea transport is used to transport goods between the country's ports, as well as to develop and ensure Georgia's foreign economic relations with foreign countries. As of 2015, maritime transport accounted for more than 86% of the country's export-import traffic. In 2021, sea vessels entered the ports of Georgia 370 times from 65 foreign countries, which provided more than 86% of the country's needs in foreign trade transportation. In recent years, major technical retooling of seaports has been carried out, tonnage has significantly increased, and the capacity of ships has increased. The capacity of the ships' power plants has increased, automation of several production processes on ships has been introduced, and new transport technologies have been introduced, which ensure safer and more trouble-free navigation of the fleet. The modern port system is a complex hierarchical structure that combines ship companies and fleets, navigation and information support systems, computer systems, and computer-related means of land transportation of goods. Keywords: Container management system, Batumi port, container platform, computer system.

The advance of single cell transcriptome to study kidney immune cells in diabetic kidney disease.

Diabetic kidney disease (DKD) is a prevalent microvascular complication of diabetes mellitus and a primary cause of end-stage renal disease (ESRD). Increasing studies suggest that immune cells are involved in regulating renal inflammation, which contributes to the progression of DKD. Compared with conventional methods, single-cell sequencing technology is more developed technique that has advantages in resolving cellular heterogeneity, parallel multi-omics studies, and discovering new cell types. ScRNA-seq helps researchers to analyze specifically gene expressions, signaling pathways, intercellular communication as well as their regulations in various immune cells of kidney biopsy and urine samples. It is still challenging to investigate the function of each cell type in the pathophysiology of kidney due to its complex and heterogeneous structure and function. Here, we discuss the application of single-cell transcriptomics in the field of DKD and highlight several recent studies that explore the important role of immune cells including macrophage, T cells, B cells etc. in DKD through scRNA-seq analyses. Through combing the researches of scRNA-seq on immune cells in DKD, this review provides novel perspectives on the pathogenesis and immune therapeutic strategy for DKD.

Miniaturized on-chip optical differentiator based on 2F-structured metasurfaces.

Analog optical computing based on Fourier optics has attracted ever-growing attention, offering unprecedented low power consumption and high parallelism computation at the speed of light. Typically, classical optical 4F systems have been widely employed as one of the most common approaches for analog optical computing. However, most existing schemes replicate the original architecture relying on two Fourier transforms and one spatial-frequency filtering, resulting in bulky size and complex structure. Here, we propose a novel, to the best of our knowledge, on-chip 2F structure that achieves ultra-miniaturized optical analog computing. Taking advantage of the exceptional design flexibility of metasurfaces, we reduce the optical path length through a combination of phase compensation and complex amplitude modulation, thereby significantly simplifying the system structure without sacrificing accuracy compared to the traditional 4F system. As a proof-of-concept demonstration, we design and fabricate an on-chip optical differentiator on a silicon-on-insulator platform, achieving 84.01% and 79.81% differentiation accuracy in simulation and experiment, respectively.

Modeling and Monitoring of the Tool Temperature During Continuous and Interrupted Turning with Cutting Fluid

In metal cutting, a large amount of mechanical energy converts into heat, leading to a rapid temperature rise. Excessive heat accelerates tool wear, shortens tool life, and hinders chip breakage. Most existing thermal studies have focused on dry machining, with limited research on the effects of cutting fluids. This study addresses that gap by investigating the thermal behavior of cutting tools during continuous and interrupted turning with cutting fluid. Tool temperatures were first measured experimentally by embedding a thermocouple in a defined position within the tool. These experimental results were then combined with simulations to evaluate temperature changes, heat partition, and cooling efficiency under various cutting conditions. This work presents novel analytical and numerical models. Both models accurately predicted the temperature distribution, with the analytical model offering a computationally more efficient solution for industrial use. Experimental results showed that tool temperature increased with cutting speed, feed, and cutting depth, but the heat partition into the tool decreased. In continuous cutting, cooling efficiency was mainly influenced by feed rate and cutting depth, while cutting speed had minimal impact. Interrupted cutting improved cooling efficiency, as the absence of chips and workpieces during non-cutting phases allowed the cutting fluid to flow over the tool surface at higher speeds. The convective cooling coefficient was determined through inverse calibration. A comparative analysis of the analytical and numerical simulations revealed that the analytical model can underestimate the temperature distribution for complex tool structures, particularly non-orthogonal hexahedral geometries. However, the relative error remained consistent across different cutting conditions, with less error observed in interrupted cutting compared to continuous cutting. These findings highlight the potential of analytical models for optimizing thermal management in metal turning processes.

Simulated inter-filament fusion in embedded 3D printing

In embedded 3D printing (EMB3D), a nozzle extrudes continuous filaments inside of a viscoelastic support bath. Compared to other extrusion processes, EMB3D enables softer structures and print paths that conform better to the shape of the part, allowing for complex structures such as tissues and organs. However, strategies for high-quality dimensional accuracy and mechanical properties remain undocumented in EMB3D. This work uses computational fluid dynamics simulations in OpenFOAM to probe the underlying physics behind two processes: deformation of the printed part due to nearby nozzle motion and fusion between neighboring filaments during printing. Through simulations, we disentangle yielding from viscous dissipation, and we isolate interfacial tension effects from rheology effects, which are difficult to separate in experiments. Critically, these simulations find that disturbance and fusion are controlled by the flow of support fluid around the nozzle. To avoid part deformation, the nozzle must remain far from existing parts during non-printing moves, moreso when traveling next to the part than above the part and especially when the interfacial tension between the ink and support is non-zero. Additionally, because support can become trapped between filaments at zero interfacial tension, the spacing between filaments must be tight enough to produce over-printing, or printing too much material for the designed space. In non-Newtonian fluids, spacings for vertical walls must be even tighter than spacings for horizontal planes. At these spacings, printing a new filament sometimes creates and sometimes mitigates shape defects in the old filament. While non-zero ink-support interfacial tensions produce better inter-filament fusion than zero interfacial tension, interfacial tension also produces shape defects. Slicing algorithms that consider these unique EMB3D defects are needed to improve mechanical properties and dimensional accuracy of bioprinted constructs.

Light-regulated chloroplast morphodynamics in a single-celled dinoflagellate

Photosynthetic algae play a significant role in oceanic carbon capture. However, their performance is constantly challenged by fluctuations in environmental light conditions. While phototaxis is a common strategy to cope with such fluctuations, nonmotile species must adopt alternative mechanisms to avoid light-induced damage. Here, we show that the nonmotile, single-celled marine dinoflagellate Pyrocystis lunula contains a chloroplast network that undergoes strong deformation in response to strong light. By exposing cells to various physiologically relevant light conditions and applying temporal illumination sequences, we find that the light-induced network morphodynamics follows dynamic rules similar to temporal low-pass filtering. We develop a mathematical formalism to model the light-regulated behavior, exposing the relevant timescales of the morphodynamic response. Moreover, confocal microscopy reveals that the unusual reticulated morphology exhibits properties similar to auxetic metamaterials, facilitating the rapid and drastic deformation necessary for the light-avoidance motion, confined by the cell wall. This mechanism reduces the effective chloroplast area under high light conditions, minimizing light absorption and preventing photodamage. Our findings demonstrate that the intricate connection between the chloroplasts topologically complex structure and active dynamics enables the dinoflagellate's dynamic adaptation to changing light environments, thereby supporting essential life-sustaining processes.

Fabrication of dense Cf/SiC ceramic matrix composites using 3D printing and PIP with short carbon fibre as a toughening material

ABSTRACT To achieve weight reduction, toughness enhancement, and the fabrication of complex structures in SiC composites, a combination of SLS and PIP processes was used. Silicon carbide powder served as the matrix material, while short carbon fibres were used for toughening, resulting in dense Cf/SiC ceramic matrix composites. The effects of varying carbon fibre sizes and contents on the microstructure and mechanical properties of Cf/SiC composites were examined. Results indicated that adding 8% carbon fibre increased the fracture toughness of Cf/SiC composites by 33.33%. Further increases in carbon fibre content showed minimal effects on fracture toughness. Based on experimental results and finite element simulations, toughening mechanisms, including fibre pull-out, fibre debonding, and crack deflection, were further elucidated. Consequently, Cf/SiC composites with complex structures, such as turbine specimens and lattice structures, were successfully fabricated.

Genetic Engineering in Bacteria, Fungi, and Oomycetes, Taking Advantage of CRISPR

Genetic engineering has revolutionized our ability to modify microorganisms for various applications in agriculture, medicine, and industry. This review examines recent advances in genetic engineering techniques for bacteria, fungi, and oomycetes, with a focus on CRISPR-Cas systems. In bacteria, CRISPR-Cas9 has enabled precise genome editing, enhancing applications in antibiotic production and metabolic engineering. For fungi, despite challenges associated with their complex cell structures, CRISPR/Cas9 has advanced the production of enzymes and secondary metabolites. In oomycetes, significant plant pathogens, modified Agrobacterium-mediated transformation, and CRISPR/Cas12a have contributed to developing disease-resistant crops. This review provides a comparative analysis of genetic engineering efficiencies across these microorganisms and addresses ethical and regulatory considerations. Future research directions include refining genetic tools to improve efficiency and expand applicability in non-model organisms. This comprehensive overview highlights the transformative potential of genetic engineering in microbiology and its implications for addressing global challenges in agriculture, medicine, and biotechnology.

Structural and hydrodynamic controls on fluid travel time distributions across fracture networks

Fracture networks are preferential flow paths playing a critical role in a wide range of environmental and industrial problems. Their complex multiscale structure leads to broad distributions of fluid travel times, affecting many biogeochemical processes. Yet, the relationship between the fracture network structures, their hydrodynamic properties, and the resulting anomalous transport dynamics remains unclear. We use a large database of fracture network models to investigate the factors controlling fluid velocity and travel-time distributions across a wide range of networks, from synthetic to field-calibrated models, with aperture variability at both fracture and network scales. Analysis reveals that transport statistics have generic properties across investigated networks, including notably heavy-tailed travel time distributions. Networks of increasing complexity and heterogeneity lead to broader velocity distributions and more channeled velocity fields, where flow concentrates in a narrow channel web in the three-dimensional (3D) fracture structure. While heterogeneity in point-velocity statistics increases travel-time variability, channeling tends to reduce it. This counterintuitive phenomenon challenges current theories, which assume that long travel time power law exponents are determined solely by point-velocity statistics. By analyzing velocity and travel time statistics for different flow structures, we develop a coupled Continuous Time Random Walk framework capturing the unexpected control of the velocity field's spatial structure on anomalous transport in fracture networks. This leads to a unique class of random walk models capturing the respective roles of velocity heterogeneity and spatial structure on transport in networks. These findings open a prospective for characterizing, modeling, and predicting transport dynamics in complex networks, with potential applications to geological, biological, and engineered networks.

A Brief Review of Radiolabelling Nucleic Acid-Based Molecules for Tracking and Monitoring.

The rise of nucleic acid-based therapeutics continues apace. At the same time, the need for radiolabelled oligonucleotides for determination of spatial distribution is increasing. Complex molecular structures with mostly multiple charges and low solubility in organic solvents increase the challenge of integrating radionuclides. In preclinical research, it is important to understand the fate of new drug candidates in biodistribution studies, target binding or biotransformation studies. Depending on a specific question, the selection of a respective radiolabelling strategy is crucial. Radiometals for molecular imaging with positron emission tomography or single-photon computed tomography generally require an attached chelating agent for stable complexation of the metal with the oligonucleotide, whereas labelling using carbon-11/-14 or tritium allows incorporation of the radioisotope into the native structure without altering it. Moreover, the suitability of direct radiolabelling of the oligonucleotide of interest or indirect radiolabelling, for example, by a two-step pretargeting approach, for the study design requires consideration. This review focuses on the challenges of radiolabelling nucleic acid-based molecules with beta-plus, gamma and beta-minus emitters and their use for tracking and monitoring.

SURGICAL APPROACH TO THALAMIC CAVERNOUS MALFORMATIONS

Introduction Thalamus is a high eloquent brain region, because it contains important relay nucleus and is surrounded by vital neural and vascular structures. Cavernous malformations involving deep structures such as the basal ganglia and thalamus account for 5–10% of all cerebral cavernomas and can cause devastating neurological deficits. Surgical approach to thalamic cavernomas is associated with risks of new or worsening neurologic deficits. The benefit of surgery must be carefully weighed on an individualized basis. There are several surgical routes that can be used to approach thalamic lesions, mainly transcortical and interhemispheric approaches. A particular approach should be selected based on the location of the cavernoma in the thalamus to minimize lesion of the unaffected brain. Methods We present the case of a 43-year-old right-handed lady with right bleeding posterolateral thalamic cavernoma, admitted to the neurosurgery department of Sibiu MedLife Polisano Hospital in February 2024. The patient underwent surgery, through a transcortical trans-sulcal para-fascicular, navigation guided approach. Preoperative tractography imaging, tubular cerebral corridor retractor system and intraoperative monitoring of the cortico-spinal tract, through motor evoked potentials (transcortical, cortical and subcortical mapping) and of the spinotahamic tract through somatosensory evoked potentials were used. The postoperative course was uneventful and the patient was discharged on the 7th postoperative day. Conclusions Thalamus is a complex structure located in a deep brain area and surgery for these region carries high risks, so the surgeon must carefully tailor these patients. The transcortical transsulcal para-fascicular approach is feasible and safe using the cerebral tubular corridor, neuronavigation and neuromonitoring. Advanced surgical technology offers the advantages of minimizing the risks of new neurological deficits.

Bioactive Three-Dimensional Chitosan-Based Scaffolds Modified with Poly(dopamine)/CBD@Pt/Au/PVP Nanoparticles as Potential NGCs Applicable in Nervous Tissue Regeneration—Preparation and Characterization

Tissue engineering of nervous tissue is a promising direction in the treatment of neurological diseases such as spinal cord injuries or neuropathies. Thanks to technological progress and scientific achievements; the use of cells; artificial scaffolds; and growth factors are becoming increasingly common. Despite challenges such as the complex structure of this tissue, regenerative medicine appears as a promising future approach to improve the quality of life of patients with nervous injuries. Until now; most functional biomaterials used for this purpose were based on decellularized extra cellular matrix (ECM) or nanofibrous materials, whereas current clinically verified ones in most cases do not exhibit bioactivity or the possibility for external stimulation. The aim of this research was to develop a new type of bioactive, chitosan-based 3D materials applicable as nerve guide conduits (NGCs) modified with poly(dopamine), Au/Pt coated with PVP nanoparticles, and cannabidiol. The NGCs were prepared under microwave-assisted conditions and their chemical structure was studied using the FT-IR method. Next, this study will discuss novel biomaterials for morphology and swelling abilities as well as susceptibility to biodegradation in the presence of collagenase and lysozyme. Finally, their potential in the field of nervous tissue engineering has been verified via a cytotoxicity study using the 1321N1 human astrocytoma cell line, which confirmed their biocompatibility in direct contact studies.

Multiscale Manufacturing of Recyclable Polyimide Composite Aerogels.

Mitigating embodied emissions is becoming increasingly crucial as the energy supply shifts toward more sustainable sources. Bio-based materials present a potentially more sustainable alternative to synthetic polymers; however, it often do not yet match the performance of synthetic materials. Given the ongoing reliance on high-performance, high-environmental-impact materials, it is essential to ensure their complete recyclability. Aerogels, recognized by IUPAC as one of the top ten emerging technologies, are witnessing rapid market growth in thermal insulation and thermal protection applications. In certain applications, synthetic and composite aerogels exhibit superior performance, particularly under high temperatures. Here, molecular simulation tools are employed to elucidate the interaction forces between polymers and solvents, develop a recycling strategy for polyimide-based aerogels, and demonstrate their application in thermal protection for firefighter textiles and thermal runaway protection for Li-ion battery packs. These composites are engineered for disassembly, allowing for the complete recovery of starting materials without any degradation of components after multiple recycling cycles. The recyclable composites can be fabricated using various manufacturing techniques to produce fibers (1D), membranes (2D), and complex structures (3D). This unique combination of outstanding performance and excellent recyclability facilitates the sustainable utilization of aerogels in protective clothing, electric mobility, consumer goods, and aeronautics.