Results 101 to 110 of about 117,368 (261)

Designing Strong, Tough, Fire‐Retardant and Self‐Healing Elastomers with Phosphorus/Nitrogen‐ and Biphenyl‐Containing Segments

Advanced Materials, EarlyView.
By designing a P/N‐ and π–π interacting biphenyl‐containing diol as hard segments but side groups, a strong, tough, fire‐extinguishing and self‐healing elastomer is developed, demonstrating a break strain of ∼2500%, a toughness of 379 MJ/m3 and a tensile strength of 46 MPa, as well as a healing efficiency of 95% (tensile strength) and 99% (break strain)
Yijiao Xue, Shu Gong, Zhezhe Zhou, Zhewen Ma, Yanlong Luo, Mark Lynch, Jiabing Feng, Yan Zhang, Meng Zhang, Yonghong Zhou, Wenlong Cheng, Pingan Song   +11 more
wiley   +1 more source

Leaf‐Inspired Eutectic Skin With Extreme Fatigue Resistance and Robust Wet Adhesion for Amphibious Epidermal Electronics

Advanced Materials, EarlyView.
Inspired by Acorus calamus leaves, a heterogeneous eutectic skin integrates an aligned fibrous network within a hydrophobic eutectogel matrix. This hierarchical architecture triggers strain‐induced crystallization to achieve exceptional mechanical toughness and durable wet adhesion.
Jiayu Hou, Jiancheng Dong, Je Hyeong Kim, Chang Zhou, Shiyin Lin, Xingyu Liu, Hao Qiu, Mengting Zheng, Yuduo Zhang, Haijun Zhu, Kangjia Geng, Yidong Peng, Haoran Liu, Yunpeng Huang, Yongsheng Luo, Steve Park, Tianxi Liu   +16 more
wiley   +1 more source

Weaving Intelligence: Thermally Drawn Multimaterial Fibers Toward AI‐Enabled Smart Textiles

Advanced Materials, EarlyView.
Thermally drawn multimaterial fibers are rapidly advancing as intelligent structural units for next‐generation smart textiles. Integrating multimaterial architectures with neuromorphic and spiking‐neural‐network principles enables fabrics that can sense, compute, and adapt autonomously.
Vuong Dinh Trung, Jiaxiang Yi, Hieu Nguyen‐Duc, Tien Nu Hoang Lo, Weili Zhao, Chaoqun Dong, Fabien Sorin, Baris Caglar, Lei Wei, Tung Nguyen‐Dang   +9 more
wiley   +1 more source

Machine Learning Accelerated Computational Design of Bio‐Inspired Catalysts in the Nitrogen Reduction Reaction

Advanced Materials, EarlyView.
We introduce a computational workflow that combines quantum chemical calculations and machine learning techniques to predict the catalytic performance of a wide range of catalysts in the nitrogen reduction reaction (NRR). The analysis of the trained models provides insights into the complex structure–activity relationship in experimental catalytic ...
Leonardo Di Ciano, Zihan You, Haoran Chen, Qifan Zhong, Rong‐Zhen Liao, Shaoqi Zhan   +5 more
wiley   +1 more source

Forest engineering conference [PDF]

The Forestry Chronicle, 1971
openaire   +1 more source

Ultra‐High‐Throughput Discovery of Multifunctional Polyphenolic Coatings on Droplet Microarrays

Advanced Materials, EarlyView.
An ultra‐high‐throughput (UHT) combinatorial strategy enables the miniaturized synthesis and screening of ≈30 000 polyamine‐polyphenolic (PaPp) coatings using droplet microarrays (DMA). This approach reveals hundreds of previously unknown fluorescent, redox‐active, and antibacterial materials, including multifunctional, cell‐compatible surfaces ...
Vania Tanda Widyaya, Joaquín E. Urrutia Gómez, Paul Reuß, Alexander Welle, Rolf A. Gattung, Jana Mayer, Peter Krolla, Markus Reischl, Pascal Friederich, Anna A. Popova, Thomas Schwartz, Pavel A. Levkin   +11 more
wiley   +1 more source

All‐Polyimide‐Mediated Liquid Metal Assembly on Aerogels for Breathable and Robust Electronic Skins

Advanced Materials, EarlyView.
An all‐polyimide‐mediated assembly strategy resolves the fundamental conflict between physiological breathability and electromechanical robustness in wearable electronics. By integrating a polyamic acid‐encapsulated liquid metal ink onto an ultralight polyimide aerogel, imidization‐induced contraction enables low‐temperature conductive activation and ...
Haijun Zhu, Jiancheng Dong, Hao Qiu, Je Hyeong Kim, Xingyu Liu, Shiyin Lin, Mengting Zheng, Chang Zhou, Yuduo Zhang, Jiayu Hou, Kangjia Geng, Yuchen Wang, Yidong Peng, Haoran Liu, Guanzheng Wu, Yunpeng Huang, Yongsheng Luo, Steve Park, Tianxi Liu   +18 more
wiley   +1 more source

Conductive Additives for Next‐Generation Batteries: Emphasizing the Potential of Bio‐Derived 3D Carbon Architectures at Electrode–Electrolyte Interfaces

Advanced Materials Interfaces, EarlyView.
3D conductive frameworks can maintain continuous electron transport, mechanical stability, and interfacial integrity, helping next‐generation batteries operate more efficiently. This Review examines their relevance to Si anodes, all‐solid‐state batteries, and dry‐processed electrodes, and highlights bio‐derived carbons as sustainable, structurally ...
SeoYoung Ha, Inseo Ko, Jongyoung Choi, Weon Ho Shin, Sung Cik Mun, Jong Ho Won   +5 more
wiley   +1 more source

Correction: Khan et al. Estimating Flexural Strength of FRP Reinforced Beam Using Artificial Neural Network and Random Forest Prediction Models. <i>Polymers</i> 2022, <i>14</i>, 2270. [PDF]

Polymers (Basel)
Khan K, Iqbal M, Salami BA, Amin MN, Ahamd I, Alabdullah AA, Arab AMA, Jalal FE.   +7 more
europepmc   +1 more source

Ti3C2Tx MXene/Silver Composite Foams For Lightweight, High‐Performance Electromagnetic Interference Shielding and Joule Heating

Advanced Materials Interfaces, EarlyView.
Ultrathin MXene/EMF composite foams achieve a specific shielding efficiency of 749.6 dB.dB·cm3$\mathrm{dB}\cdot {\mathrm{cm}}^{3}$/g, while the silver‐enhanced MXene/Ag/EMF reaches 81.4 dB shielding effectiveness at just 1.0 mm thickness. Both composites exhibit rapid Joule heating, retain stability up to 250∘C$^\circ{\rm C}$, and withstand 1000 ...
Abdullah A. Mahmood, Mingxuan Li, Vahid Rad, Mehdi Zarei, Chen‐Yu Yeh, Masoud Soroush, Guangyong Li, Paul W. Leu   +7 more
wiley   +1 more source