Results 91 to 100 of about 14,958 (244)

Optimizing NiMo Electrocatalyst Coatings for Hydrogen Evolution in Alkaline Electrolysis With The Machine Learning‐Guided Autonomous Platform CatBot

Advanced Functional Materials, EarlyView.
This work presents a closed‐loop optimization workflow integrating CatBot, an automated synthesis and testing system, to discover NiMo hydrogen‐evolution catalysts. CatBot synthesised and evaluated 228 unique samples, identifying the best performing catalysts for transfer to nickel‐foam electrodes. The best candidate is highly active, reaching 1 Acm−2${
Paolo Vincenzo Freiesleben de Blasio, Jonas Elsborg, Elif Coşkun, Andreas Burger, Pradipkumar Manubhai Leuaa, Thu Pham Anh Phan, Jin Hyun Chang, Christodoulos Chatzichristodoulou   +7 more
wiley   +1 more source

High‐Precision Prediction of Auroral Substorm Expansion Phase Evolution Using a Spatio‐Temporal Attention Deep Learning Model

Space Weather
Auroral substorms are a key manifestation of solar‐terrestrial interactions and the release of energy within the Earth's magnetosphere. The expansion phase, which is characterized by rapid changes in auroral morphology and intensity, poses significant ...
Qiuju Yang, Xiaojian Cao, Yong Wang, Zanyang Xing   +3 more
doaj   +1 more source

Prediction of cable deformation from 3D point cloud for robot motion planning

Nihon Kikai Gakkai ronbunshu
To meet the demand of mass customization and address labor shortages in industry, the implementation of flexible production line with industrial robots is essential. Reconfiguring production lines requires robot motion planning, but discrepancies between
Kaoru KITAJIMA, Masaaki MAEDA, Daiki KAJITA, Hiroki TAKEDA, Daisuke TSUTSUMI   +4 more
doaj   +1 more source

Accelerated Discovery of Topological Spin Phase Diagrams in CrSBr Magnets Via High‐Throughput Optimization

Advanced Functional Materials, EarlyView.
Here, we develop a high‐throughput algorithm that accelerates the elucidation of phase diagrams of topological spin textures using limited computational resources at high numerical accuracy. Applying this framework to the van der Waals magnet CrSBr, we unveiled a hierarchy of previously unknown topological textures (domain‐wall bimerons, bimeron chains,
Andrew Lyall, Mohammad H. Badarneh, Cristian Bonato, Rebecca Cheung, Elton J. G. Santos   +4 more
wiley   +1 more source

Fiber‐Based Wearable Electronics as Adaptive Biointerfaces for Healthcare Applications

Advanced Functional Materials, EarlyView.
Fiber‐based wearable electronics have been extensively studied as adaptive healthcare biointerfaces. In this review, we classify and introduce fiber‐based systems according to biointerface design, conductive materials, transduction mechanisms, and healthcare applications, and provide a perspective on their translation toward reliable, continuous ...
Sangwoo Hong, Jinsol Kim, Yoonjae Jeong, Sejong Kang, Daeho Lee, Seung Hwan Ko   +5 more
wiley   +1 more source

Joint short-term prediction of polar motion and length of day with multi-task deep learning methods

Earth, Planets and Space
Accurate prediction of Earth orientation parameters (EOPs) is critical for astro-geodynamics, high-precision space navigation, and positioning. However, the current model prediction accuracy for EOPs is significantly lower than the geodetic technical ...
Sonia Guessoum, Santiago Belda, Sadegh Modiri, Maria Karbon, José M. Ferrándiz, Justyna Śliwińska-Bronowicz, Harald Schuh   +6 more
doaj   +1 more source

Lone‐Pair‐Induced Lattice Distortion in Lead‐Free Hybrid Perovskites for High‐Performance Nanogenerators

Advanced Functional Materials, EarlyView.
A lead‐free tin‐based hybrid perovskite is designed in which stereochemically active lone‐pair electrons on tin distort the crystal lattice and break its symmetry. Blended into a flexible polymer, the material converts pressure into electricity at milliwatt‐scale power density and continues working far below freezing, powering a commercial wristwatch ...
Majid Haji Bagheri, Asif Abdullah Khan, Md Fahim Al Fattah, Mahmoud Almadhoun, Shamaila Shahzadi, Aixi Pan, Md Soyaeb Hasan, Henry Wu, Arash Aghigh, Bhawna Bhawna, François Légaré, Vivek Maheshwari, Dayan Ban   +12 more
wiley   +1 more source

Molecularly Dissipative Liquid Crystal Elastomer Foams for Impact and Vibration Attenuation

Advanced Functional Materials, EarlyView.
Liquid crystal elastomer foams integrate cellular deformation with mesogen reorientation to create a dual‐scale energy dissipation mechanism. Progressive pore collapse absorbs mechanical loads, while stress‐induced mesogen reorientation provides additional damping, resulting in reduced impact transmission and broadband suppression of vibrational ...
Subi Choi, Sangyeop Lee, In‐sun Jeong, Kyungjun Song, Eugene M. Terentjev, Suk‐kyun Ahn   +5 more
wiley   +1 more source

Unexpected Asymmetric Mn‐Sb Site Mixing and Reentrant Spin‐Glass State of MnSb2Te4

Advanced Functional Materials, EarlyView.
MnSb2Te4 is an intrinsic magnetic topological insulator. Its properties are extraordinarily sensitive to tiny defects, making structural studies essential for understanding how magnetism and topology work together. This work shows that Mn can be unevenly distributed within the crystal and how that disorder is linked to a newly reported spin‐glass state
Gustavo Chavez Ponce de Leon, Ahmad Dibajeh, Gert ten Brink, Majid Ahmadi, Suyang Sun, Wei Zhang, Bart Jan Kooi, George Palasantzas   +7 more
wiley   +1 more source

Configuration‐Encoded Cell Alignment by Light‐Gated Silicon Photovoltaic Microcell Arrays

Advanced Functional Materials, EarlyView.
Light‐gated silicon photovoltaic microcells convert pulsed illumination into localized electrical cues. Arranging otherwise similar microcells into four‐lobed, six‐lobed, or circular patterns directs fibroblasts into corresponding local arrangements without wired stimulation.
Yifan Tao, Ilayda Namli, Joseph Christakiran Moses, Youdi Liu, Suihong Liu, Syed Hasan Askari Rizvi, Yasar Ozer Yilmaz, Ibrahim T. Ozbolat   +7 more
wiley   +1 more source