Results 51 to 60 of about 40,198 (236)

A Janus‐Like Bio‐Inspired Strategy for 3D‐Printed Bimetallic Metamaterials with Excellent Thermal‐Protection and Load Bearing Capacity

Advanced Science, EarlyView.
A Janus‐like bio‐inspired strategy is proposed for integrally 3D‐printed bimetallic metamaterials. Inspired by shell bilayers, a heat‐resistant AlSiFeMnNiMg alloy and a SiC‐reinforced AlSi10Mg with different SiC volume fractions are arranged as an architected pair.
Zhicheng Dong, Wei Cheng, Yu He, Ben Jia, Xiaopeng Wan, Heyuan Huang   +5 more
wiley   +1 more source

Noncommutative maximal operators with rough kernels

Analysis & PDE
34 pages. Analysis & PDE.
openaire   +2 more sources

Recent Advances in Sustainable Single‐Atom Catalysts from Biomass and Solid Waste: Design, Synthesis and Applications

Advanced Science, EarlyView.
Biomass‐ and solid waste‐derived sustainable single‐atom catalysts (Sus‐SACs) provide a cost‐effective and renewable approach to catalyst design. This review summarizes precursor selection, including AI‐assisted screening, synthesis strategies with emphasis on ultrafast methods, and advanced characterization techniques.
Hongzhe He, Yuhang Qiu, Ruoqun Zhang, Sasha Yang, Jingwei Wang, Jianglong Yu, Lian Zhang, Ning Chen, Baiqian Dai   +8 more
wiley   +1 more source

Scalable Wheat Bran‐Algae Composites for Edible Electronics with Spray‐Coated Food‐Grade Conductive Inks

Advanced Electronic Materials, EarlyView.
A fully edible wheat bran–algae substrate is fabricated through scalable mould‐compression and spray‐coating, enabling robust, food‐grade platforms for sustainable electronics. A chitosan barrier improves water resistance and ink compatibility, while activated‐carbon conductive films form uniform electrodes with Ohmic behaviour.
Jaz Johari, Muhua Zhu, Zhiging Wang, Yichen Lang, Georgios Nikiforidis, Mingqing Wang, Mengyan Nie, Shahab Akhavan   +7 more
wiley   +1 more source

Ultra‐Low Power Consumption and Highly Durability in Sm:HfO2 Thin Film Ferroelectric Memristor for Edge Detection

Advanced Electronic Materials, EarlyView.
ABSTRACT With the continuous development of computer image processing, developing efficient and low‐power computing devices has become a key challenge. Memristors have integrated in‐situ storage and computing capabilities, making them an ideal choice for low‐power image processing computing architectures. However, current memristors are confronted with
Tengyu Li, YongRui Wang, Weifeng Zhang, Jikang Xu, Xiaobing Yan   +4 more
wiley   +1 more source

Prediction of Structural Stability of Layered Oxide Cathode Materials: Combination of Machine Learning and Ab Initio Thermodynamics

Advanced Energy Materials, EarlyView.
In this work, we developed a phase‐stability predictor by combining machine learning and ab initio thermodynamics approaches, and identified the key factors determining the favorable phase for a given composition. Specifically, a lower TM ionic potential, higher Na content, and higher mixing entropy favor the O3 phase.
Liang‐Ting Wu, Milica Zdravković, Dijana Milosavljević, Konstantin Köster, Olivier Guillon, Jyh‐Chiang Jiang, Payam Kaghazchi   +6 more
wiley   +1 more source

Sustainable Carbon Fibers Enable Stable Long‐Term Lithium Metal Deposition for Prospective Zero‐Excess Lithium Metal Batteries

Advanced Energy Materials, EarlyView.
This work presents lightweight, lignin‐derived carbon fiber current collectors that enable controlled lithium deposition. Structural defects and intermediate‐sized pores stabilize pre‐nucleation quasi‐metallic lithium clusters, promoting uniform lithium plating and stripping.
Samantha L. S. Southern, Jonathon Cottom, Jana B. Fritzke, Emma N. Antonio, Zhenyu Guo, Bhavini Patel, Romain Tort, Ifan E. L. Stephens, Camilla Di Mino, Clare P. Grey, Rhodri Jervis, Emilia Olsson, Heather Au, Maria‐Magdalena Titirici   +13 more
wiley   +1 more source

A note on maximal commutators with rough kernels

Comptes Rendus. Mathématique, 2019
This paper gives a characterization of compactness for maximal commutators with rough kernels in weighted Lebesgue spaces, which is new and interesting even in un-weighted cases. Meanwhile, a new characterization of weighted boundedness for such operators is also established.
Wen, Yongming, Guo, Weichao, Wu, Huoxiong, Zhao, Guoping   +3 more
openaire   +2 more sources

Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories

Advanced Energy Materials, EarlyView.
In this review, we summarize the fundamentals of AI in automated materials science, and review AI applications in perovskite solar cells. Then, we sum up recent progress in AI‐guided manufacturing optimization, and highlight AI‐driven high‐throughput and autonomous laboratories.
Wenning Chen, Zheyu Zhang, Kelvian T. Mularso, Bonghyun Jo, Hyun Suk Jung   +4 more
wiley   +1 more source

Markets Mitigate Land‐Use Competition From Energy Crops and Increase Farm Revenues

Applied Economic Perspectives and Policy, EarlyView.
ABSTRACT Meeting the US Sustainable Aviation Fuel Grand Challenge target of 35 billion gal annually by 2050 will require an estimated 380 million–700 million dry tons of agricultural biomass feedstock. This study evaluates the implications of large‐scale biomass production for land use, crop production, and market outcomes under mature market ...
Daniel G. De La Torre Ugarte, Matthew H. Langholtz, Chad M. Hellwinckel   +2 more
wiley   +1 more source