Results 101 to 110 of about 233,253 (265)

Eutectozymes as Soft Hybrid Materials for Advanced Biocatalysis

Advanced Materials, EarlyView.
Eutectozymes are sustainable hybrid materials that embed a GOx–HRP cascade within hydrophobic eutectogels featuring a dual supramolecular–covalent network. This architecture preserves native enzyme structure and stability, enables efficient heterogeneous biocatalysis in aqueous media, and positions eutectogels as robust platforms for next‐generation ...
Manuel Eduardo Martinez Cartagena, Lucia Suarez, Aitor Ontoria, Francisca J. Benitez, Elixabete Rezabal, María Soledad Orellano, Marcelo Calderón, Cristián Huck‐Iriart, Agustin S. Picco, Matias L. Picchio, Ana Beloqui   +10 more
wiley   +1 more source

Direct Synthesis of High‐Valence Protein@UiO‐66 Composites: Linking Crystallization Pathways to Protein Encapsulation

Advanced Materials, EarlyView.
This work reports a direct, biocompatible method to synthesize UiO‐66, enabling one‐step encapsulation of proteins without compromising crystallinity or activity. Using advanced in situ and ex situ techniques, the study reveals that proteins integrate concurrently with MOF growth, forming crystalline protein@UiO‐66 nanoparticles, and provide insight ...
Jesús Cases Díaz, Jana Glatz, Elisa Merced Olivas, Ramon Pons, Joseph P. Patterson, Mónica Giménez‐Marqués   +5 more
wiley   +1 more source

New‐Era Polymer Thermoelectrics: Material Innovations, Doping Frontiers, Decoupling Strategies, and Unconventional Applications

Advanced Materials, EarlyView.
The field of polymer thermoelectrics is entering a new era, featuring breakthroughs in addressing the conventional performance disparity between p‐type and n‐type polymers, pioneering doping frontiers, and sophisticated decoupling strategies. This review explores innovations in molecular design and superior stabilities, bridging the gap from ...
Suhao Wang
wiley   +1 more source

Effects of Sn Microalloying on the Microstructure and Properties of Al-Mg-Mn-Si Alloy

Metals
Microalloying with Sn is a pivotal strategy for enhancing the strength and thermal stability of Al-Mg-Mn-Si alloys by enabling microstructural optimization.
Yue Chai, Shengping Wen, Xiaolan Wu, Kunyuan Gao, Wu Wei, Li Rong, Hui Huang, Zuoren Nie   +7 more
doaj   +1 more source

Elephant‐Skin‐Inspired Porous Cementitious Tiles with Programmable Crack Networks for Passive Cooling

Advanced Materials, EarlyView.
Elephant‐skin‐inspired crack networks are programmed in porous diatomaceous earth (DE)‐cement composites using substrate‐guided, stress‐concentration induced fracture. The resulting crack lattices act as capillary conduits that redistribute water, while the porous matrix stores moisture.
Qingya Huang, Kun‐Hao Yu, Ji Yoon Bae, Yunchan Lee, Dorit Aviv, Shu Yang   +5 more
wiley   +1 more source

An Overview Analysis of Current Research Status in Iron Oxides Reduction by Hydrogen

Metals
This paper focuses on the study of current knowledge regarding the use of hydrogen as a reducing agent in the metallurgical processes of iron and steel production.
Zuzana Miškovičová, Jaroslav Legemza, Peter Demeter, Branislav Buľko, Slavomír Hubatka, Martina Hrubovčáková, Peter Futáš, Róbert Findorák   +7 more
doaj   +1 more source

Leaftronics: Bio‐Fractal Scaffolds From Leaf Venation for Low‐Waste Electronics

Advanced Materials, EarlyView.
“Leaftronics” transforms naturally evolved leaf venation into quasi‐fractal scaffolds for sustainable electronics. Polymer‐infiltrated leaf skeletons can be used to fabricate ultra‐smooth, reflow‐ and thin‐film‐compatible decomposable substrates, while making the same lignocellulose networks conducting results in flexible transparent electrodes.
Rakesh Rajendran Nair, Hrisheekesh Thachoth Chandran, Karl Leo, Hans Kleemann   +3 more
wiley   +1 more source

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

Advanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena, J. Terence Blaskovits, Kun‐Han Lin, Denis Andrienko   +3 more
wiley   +1 more source

Machine Learning-Assisted Optimization and Regulation of Chlorine Speciation in Municipal Solid Waste Incineration Bottom Ash

能源环境保护
The presence of chlorine in municipal solid waste incineration bottom ash is a critical factor restricting its potential for reuse. However, the current understanding of the speciation characteristics and formation mechanisms of chlorine within the ash ...
Foquan GU, Lyuhan ZHU, Hongjie SHI, Jing HOU, Wenxuan XIA, Dongsheng SHEN, Yuyang LONG   +6 more
doaj   +1 more source

Phase‐Pure and Size‐Tunable Tin Halide Perovskite Quantum Dots

Advanced Materials, EarlyView.
A trioctylphosphine oxide modulated protocol allows for the synthesis and study of the optical properties of a broad library of tin halide perovskite quantum dots across multiple A‐ and X‐site compositions with precise size tuning while eliminating unwanted 2D phases.
Ole F. Dressler, Benjamin Aymoz, Sebastian Sabisch, Stefanie Frick, Sebastian Siol, Dmitry N. Dirin, Simon C. Boehme, Maksym V. Kovalenko   +7 more
wiley   +1 more source