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A skin-mimicking multifunctional hydrogel via hierarchical, reversible noncovalent interactions

science Advances 2025年第20期11卷 eadv8523页

作者： Guo, Xingkui Zhang, Songlin Patel, Shubham Sun, Xiaolu Zhu, You-Liang Wei, Zechang Wang, Rongguo He, Xiaodong Wang, Zuankai Yu, Cunjiang Tan, Swee Ching Department of Materials Science and Engineering National University of Singapore Singapore 117574 Singapore State Key Laboratory of Molecular Engineering of Polymers Department of Macromolecular Science Institute of Fiber Materials and Devices Laboratory of Advanced Materials Fudan University Shanghai 200438 China The Grainger College of Engineering Department of Electrical and Computer Engineering Department of Materials Science and Engineering Department of Mechanical Science and Engineering Departments of Bioengineering The Grainger College of Engineering Beckman Institute for Advanced Science and Technology Materials Research Laboratory Nick Holonyak Micro and Nanotechnology Laboratory University of Illinois Urbana-Champaign Urbana 61801 IL United States National Key Laboratory of Science and Technology on Advanced Composites in Special Environments Harbin Institute of Technology Harbin 150080 China State Key Laboratory of Supramolecular Structure and Materials College of Chemistry Jilin University Changchun China Department of Mechanical Engineering The Hong Kong Polytechnic University Hong Kong Shenzhen Research Institute of The Hong Kong Polytechnic University Shenzhen China

Artificial skin is essential for bionic robotics, facilitating human skin–like functions such as sensation, communication, and protection. However, replicating a skin-matched all-in-one material with excellent mechanical properties, self-healing, adhesion, and multimodal sensing remains a challenge. Herein, we developed a multifunctional hydrogel by establishing a consolidated organic/metal bismuth ion architecture (COMBIA). Benefiting from hierarchical reversible noncovalent interactions, the COMBIA hydrogel exhibits an optimal combination of mechanical and functional properties, particularly its integrated mechanical properties, including unprecedented stretchability, fracture toughness, and resilience. Furthermore, these hydrogels demonstrate superior conductivity, optical transparency, freezing tolerance, adhesion capability, and spontaneous mechanical and electrical self-healing. These unified functions render our hydrogel exceptional properties such as shape adaptability, skin-like perception, and energy harvesting capabilities. To demonstrate its potential applications, an artificial skin using our COMBIA hydrogel was configured for stimulus signal recording, which, as a promising soft electronics platform, could be used for next-generation human-machine interfaces. Copyright © 2025 The Authors, some rights reserved.

关键词： Fracture toughness

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A Comprehensive Review on plant and animal fiber reinforced composites: Experimental and theoretical approaches to interfacial strength optimization and potential applications

Hybrid Advances

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Hybrid Advances 2025年 10卷

作者： Olanrewaju, Olajesu Oladele, Isiaka Oluwole Adelani, Samson Oluwagbenga Department of Materials Science and Engineering Iowa State University Ames IA United States Department of Metallurgical and Materials Engineering Federal University of Technology PMB Akure 704 Nigeria Centre for Nanomechanics and Tribocorrosion School of Metallurgy Chemical and Mining Engineering University of Johannesburg Johannesburg South Africa Materials Science and Engineering Program University of Colorado Boulder 80303 CO United States

Natural fiber-reinforced composites (NFRCs) have become vital in various engineering applications due to their exceptional properties and ease of manufacturing. Properties such as lightweight, sustainability, design flexibility, microstructure, durability, and advanced fabrication techniques have expanded their use across industries. Also, NFRCs are preferred because the extensive reliance on synthetic fibers presents significant challenges in recycling and waste management. Despite their excellent properties, NFRCs have three main challenges: fiber degradation, water degradation, and weak interfacial strength (incompatibility of fibers with the matrix). Consequently, research efforts have been directed at combating these challenges using different surface treatment techniques. However, research has been skewed towards experimental approaches for improving the interfacial strength in plant fiber polymer matrix composites (PMCs). Hence, there exists a dearth of information on the computational approaches for optimizing the interfacial properties of NFRCs. Hence, this review provides experimental and computational approaches (machine learning) for comprehensive optimizing strategies for different natural fibers (plant, animal, and microorganism) and matrices (polymers, metals, and ceramics). This review also highlights the importance of theoretical approaches and numerical modeling in analyzing and optimizing NFRCs. Finally, the review highlights recent advancements in NFRCs, their mechanical properties, potential applications, and future directions. © 2025 The Authors

关键词： Animal fiber Interfacial shear strength Machine-learning Natural fiber-reinforced composites Plant fiber

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Recent advances in natural fiber reinforced metal/ceramic/polymer composites: An overview of the structure-property relationship for engineering applications

Hybrid Advances

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Hybrid Advances 2025年 8卷

Advances in the material science world drive the birth of a new generation of sustainable materials. Natural fiber (NFs) biocomposites are emerging as valuable alternatives to conventional materials for engineering applications such as construction, automobiles, and aerospace due to their exceptional mechanical properties, lightweight, low carbon footprint, energy efficiency, and cost-effectiveness. These outstanding properties have made them more desirable for engineering applications. However, the focus has been on lignocellulosic fibers, neglecting other sources, such as keratinous, fibrinous, and microorganism fibers. Only a few reviews have considered the structure-property relationship of all classes of natural fibers, such as lignocellulosic (plant), keratinous and fibrinous (animal), and microorganism (mycelium) fibers. Although NFs have outstanding potential from an economic, technical, environmental, and green credentials perspective, they have limitations, such as fiber-matrix incompatibility and moisture damage. These limitations make using NFs as reinforcement for different material systems challenging. Surface alterations are usually necessary to improve the adherence between fiber and matrix. With the upgrade, NFs have the potential as sustainable replacement for conventional materials for engineering applications. Future research should aim at reconciling the mechanical properties of NFs to improve composite quality and fiber-matrix adherence and performance. © 2025 The Authors

关键词： Biocomposites Fibrinous Keratinous Lignocellulosic Microorganism Natural fiber

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Simulating ceramic-filled vat photopolymerization resins using Monte Carlo ray tracing

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Applied Optics 2025年第15期64卷 4207-4217页

作者： Keyton D Feller J Robert Mahan Yiqun Fu Nathan Raeker-Jordan Timothy E Long Christopher B Williams Macromolecules Innovation Institute Virginia Tech Blacksburg Virginia 24060 USA Department of Mechanical Engineering Virginia Tech Blacksburg Virginia 24060 USA School of Molecular Science and Biodesign Center for Sustainable Macromolecular Materials and Manufacturing Arizona State University Tempe Arizona 85287 USA

Photocurable ceramic suspensions used in vat photopolymerization (VP) to produce composite and ceramic parts suffer from reduced resolution due to light scattering by the particles. When irradiated, the scattered light causes a redistribution of the UV intensity, resulting in a reduction in cure depth and an increase in cure width. To predict the resulting exposure distribution and cure profile shape of ceramic-loaded resins, the authors develop a Monte Carlo ray-tracing (MCRT) simulation to predict light scattering and absorption of UV energy in particle-filled resins. The simulation incorporates volume-dependent light scattering physics of polydisperse particle sizes to accurately represent the scattering behavior of filled resins. Additionally, the simulation uses only experimentally acquired parameters, including refractive index, particle size distribution, the spatial intensity distribution of the light source, and critical exposure to cure to predict the photocured shape. With these parameters, the authors simulate cure profiles of a zinc oxide-filled polyester acrylate resin, which has a high refractive index of 2.2. Printed and simulated cure profiles are compared across varying ZnO loadings (1–5 vol%) to validate the simulation. The simulation demonstrates a high degree of accuracy in predicting the experimental cure profile shape with all cure depth predictions within 10% (20 µm) and cure widths within 30% (15 µm).

关键词： Dynamic light scattering Light sources Material properties Ray tracing Refractive index Scanning electron microscopy

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Nonsaturated large magnetoresistance and transport dynamics in a n-doped cryogenic WSe2 field-effect device

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Physical Review B 2025年第12期111卷 125307-125307页

作者： Wei-Chen Lin Ching-Chen Yeh Jia-Zhu Zou Nhat Anh Nguyen Phan Inayat Uddin Hai Yen Le Thi Kenji Watanabe Takashi Taniguchi Gil-Ho Kim Department of Engineering and System Science National Tsing Hua University Hsinchu 300 Taiwan Taiwan International Graduate Program Academia Sinica Taipei 115 Taiwan Department of Physics National Taiwan University Taipei 106 Taiwan Department of Electrical and Computer Engineering Sungkyunkwan University (SKKU) Suwon 164 Republic of Korea Sungkyunkwan Advanced Institute of Nano Technology (SAINT) Sungkyunkwan University (SKKU) Suwon 16419 Republic of Korea Research Center for Electronic and Optical Materials National Institute for Materials Science 1-1 Namiki Tsukuba 305-0044 Japan Research Center for Materials Nanoarchitectonics National Institute for Materials Science 1-1 Namiki Tsukuba 305-0044 Japan

Interest in the two-dimensional (2D) semiconducting transition metal dichalcogenides (TMDs) continues to intensify, driven by their suitable band gaps to supplant silicon as next-generation semiconductor materials. Among various TMDs, tungsten diselenide (WSe2) is renowned for its superior electrical properties in carrier density and mobility under ambient conditions. Despite its notable attributes, the behavior of monolayer WSe2 in the electron-doped regime under cryogenic conditions remains largely uncharted, particularly concerning its magnetotransport properties. In this study, we reveal the transport mechanisms of monolayer WSe2 from high temperatures down to the cryogenic regime. As evident by Efros–Shklovskii variable-range hopping (E-S VRH) in the cryogenic regime, strong Coulomb interactions arise between electrons. Above 8 K, an uncommon nonsaturated quadratic large magnetoresistance (MR) can be explained by the wave-function shrinkage model, which is consistent with the E-S VRH transport mechanism. Notably, the nonsaturated quadratic large MR shows a magnitude up to 1740% at 13 T. These findings underscore the potential applications for monolayer WSe2 in cryogenic field-effect devices, magnetic sensors, and memory devices and mark a significant advance in magnetotransport research.

关键词： Monolayers

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Nucleation effects of coccoliths in portland cement

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Matter 2025年

作者： Beatty, Danielle N. Srubar, Wil V. Materials Science and Engineering Program University of Colorado Boulder 4001 Discovery Drive UCB 027 BoulderCO80303 United States Department of Civil Environmental and Architectural Engineering University of Colorado Boulder 1111 Engineering Drive ECOT 441 UCB 428 BoulderCO80309 United States

This work explores the use of photosynthesized coccoliths (intricate CaCO3 particles) as a nucleation agent or cement replacement in portland cement paste. First, coccoliths were produced and harvested from the marine microalgae Emiliania huxleyi and the particle size, morphology, and mineralogy were characterized. Then, the nucleation effects of E. huxleyi coccoliths as seeding agent (0.5, 1, 3, or 5 wt % additions) and limestone filler (5 and 15 wt % cement replacements) were studied using isothermal conduction calorimetry and compressive strength testing. The results were compared with five commercially available CaCO3 sources used as nucleation agents and fillers. While the high surface area of coccoliths (12.22 m2/g) enhanced water demand, it also enhanced nucleation during cement hydration without accelerating hydration, leading to enhanced early-age strength without detriments to 28-day strength. Results highlight a potential carbon reduction strategy, namely employing photosynthesis as a method of mineral admixture production, for the cement and concrete industry. © 2025 Elsevier Inc.

关键词： Portland cement

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Computational inverse design of acoustoplasmonic metasurfaces

arXiv

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arXiv 2025年

作者： Holland, Julia E. Boechler, Nicholas Poulikakos, Lisa V. Department of Mechanical & Aerospace Engineering UC La Jolla San DiegoCA92093-0021 United States Program in Materials Science & Engineering UC La Jolla San DiegoCA92093-0021 United States

Optical and acoustic metasurfaces are two-dimensional arrays of subwavelength elements that locally modulate or phase shift incident waves. Acoustoplasmonic metasurfaces combine the physics of light and sound, producing acoustic wavefronts in response to optical stimuli. Herein, we present a computational inverse acoustoplasmonic metasurface design algorithm for desired optically-generated acoustic wave fields. We consider gold nanoparticles producing spherical acoustic waves in water, and the resulting acoustic wave propagation along the plane containing the nanoparticle array. We demonstrate how our algorithm can be used to design metasurfaces that can be used to achieve complex acoustic wave fields. This includes the design of a single metasurface that produces acoustic wave fields mimicking two different Morse code patterns upon stimulation with two orthogonal polarization states of light. This work provides a new tool for the design of complex optically generated acoustic wavefronts, enabling functionality beyond what would be achievable with off-optical-resonance optoacoustic excitation. Copyright © 2025, The Authors. All rights reserved.

关键词： Acoustic wave propagation

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Prediction of enthalpy of vaporization for particulate matter through molecular dynamics using OPLS force field

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Journal of Aerosol science 2025年 188卷

作者： Jeong, Seung Weon Kim, Yeonseo Lim, Hyung-Kyu Chan Kim, Min Song, Chul Han Lee, Sangheon Department of Chemical Engineering and Materials Science Ewha Womans University 52 Ewhayeodae-gil Seodaemun-gu Seoul03760 Korea Republic of Graduate Program in System Health Science and Engineering Ewha Womans University 52 Ewhayeodae-gil Seodaemun-gu Seoul03760 Korea Republic of Division of Chemical Engineering and Bioengineering Kangwon National University Chuncheon Gangwon-do24341 Korea Republic of Department of Chemical Engineering Jeju National University Jeju63243 Korea Republic of Gwangju Institute of Science and Technology Gwangju61005 Korea Republic of

Chemical pollutant molecules dispersed in the atmosphere in the form of particulate matter are harmful to humans. Accurate data sets on the volatility of particulate matter components are required to address the ongoing issues of air pollution, as volatility determines the distribution of particulate components between gas and particle phases. Herein, we estimate the volatility for representative components of particulate matter by calculating the enthalpy of vaporization using molecular dynamics simulations. Compared with conventional static prediction methods such as Hansen solubility parameter and conductor-like screening model methods, the molecular dynamics method proves to effectively and accurately predict enthalpies of vaporization for a wide range of particulate matter components without additional parameter optimization. Using the molecular dynamics approach, we calculate enthalpies of vaporization for 71 representative organic species that could be primary particulate matter sources. The predicted enthalpy of vaporization values can be used as a fundamental data set for future air quality modeling and scientific understanding of the formation of particulate matter. Given the limitations in experimentally characterizing the volatility of various components in particulate matter, we envisage that our dynamical method based on the evaluation of intermolecular interactions can also be used to study the dynamics associated with the formation of particulate matter in addition to providing thermodynamic data. © 2025 Elsevier Ltd

关键词： Air quality

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High-Performance Al–S Batteries by Spin Polarization Modulation via Catalytic Ni-MoS₂ Nanosheets

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Angewandte Chemie - International Edition 2025年 e202503835页

作者： Liu, Xiaoya Liu, Xingjun Zhan, Jiqiang Yuan, Wang Zhu, Yue Huang, Weiyuan Li, Hongpeng Liu, Tongchao Amine, Khalil Li, Hongsen Yu, Guihua College of Physics Qingdao University Qingdao 266071 China Materials Science and Engineering Program and Walker Department of Mechanical Engineering The University of Texas at Austin Austin 78712 TX United States School of Materials Science and Engineering Ocean University of China Qingdao 266404 China Chemical Science and Engineering Division Argonne National Laboratory Lemont 60439 IL United States College of Mechanical Engineering Yangzhou University Yangzhou 225127 China

Aluminum–sulfur (Al–S) batteries catalysts with adsorption and catalytic capabilities can effectively improve the slow redox kinetics, but the current research often ignores the effect of optimizing the electronic structure of the catalyst on improving charge transfer and adsorption. Here, Ni-doped monolayer MoS₂ nanosheets are synthesized and used as a catalytic additive for the sulfur cathode. The addition of Ni promotes spin splitting of 4d orbital of Mo, thereby affecting polarization degree of the basal plane sulfur and making it change from a low spin state to a high spin one. This high spin configuration raises the electron energy level and provides an active electron state to react with aluminum polysulfides (AlPSs), which optimizes the adsorption energy. At the same time, it accelerates electron transfer and lowers the energy barrier for the overall conversion of the polysulfides. Benefiting from these features, Al–S batteries based on rationally designed S@Ni-MoS₂/C cathodes exhibit a high initial capacity (1603.0 mAh g⁻¹ at 0.5 A g⁻¹) and extraordinary cycling stability (0.035% capacity decay rate during 2000 cycles). This study showcases a spin-polarized electronic structure control strategy to enhance catalytic activity, providing a viable approach for developing efficient catalysts for practical Al–S batteries. © 2025 Wiley-VCH GmbH.

关键词： Aluminum–sulfur batteries Catalyst Electronic structure control Ni-doped monolayer MoS2 nanosheets

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Machine learning of microstructure–property relationships in materials with robust features from foundational vision transformers

arXiv

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arXiv 2025年

作者： Whitman, Sheila E. Latypov, Marat I. Graduate Interdisciplinary Program in Applied Mathematics University of Arizona TucsonAZ85721 United States Department of Materials Science and Engineering University of Arizona TucsonAZ85721 United States

Machine learning of microstructure–property relationships from data is an emerging approach in computational materials science. Most existing machine learning efforts focus on the development of task-specific models for each microstructure–property relationship. We propose utilizing pre-trained foundational vision transformers for the extraction of task-agnostic microstructure features and subsequent light-weight machine learning of a microstructure-dependent property. We demonstrate our approach with pre-trained state-of-the-art vision transformers (CLIP, DINOV2, SAM) in two case studies on machine-learning: (i) elastic modulus of two-phase microstructures based on simulations data;and (ii) Vicker’s hardness of Ni-base and Co-base superalloys based on experimental data published in literature. Our results show the potential of foundational vision transformers for robust microstructure representation and efficient machine learning of microstructure–property relationships without the need for expensive task-specific training or fine-tuning of bespoke deep learning models. © 2025, CC BY.

关键词： Elastic moduli

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