Results 81 to 90 of about 24,890 (248)

Intelligent Maintenance Review for Robots: Multimodal Information, Deep Diagnosis and Embodied Artificial Intelligence

Advanced Robotics Research, EarlyView.
This review maps the methods to monitor robots’ health by fusing vibration, sound, control signals, vision, force, and oil information with artificial intelligence. It identifies deep learning, transfer learning, digital twins, and physics‐informed models as key methodological pathways enabling earlier diagnosis, safer human–robot collaboration, and ...
Yuting Qiao, Hongbo Wang, Naipeng Li, Shuo Wang, Yaguo Lei, Tonghai Wu, Junyi Cao   +6 more
wiley   +1 more source

Phylogenetic Signal, Root Morphology, Mycorrhizal Type, and Macroinvertebrate Exclusion: Exploring Wood Decomposition in Soils Conditioned by 13 Temperate Tree Species. [PDF]

Forests, 2022
Malik RJ, Bruns MAV, Bell TH, Eissenstat DM.   +3 more
europepmc   +1 more source

Frustrated Lewis Pairs and Metallic Ni Synergistically Enabled Low‐Temperature Hydrogenolysis of Lignin Models

Advanced Science, EarlyView.
Nickel–aluminum composite oxide (NiAlOx‐300) derived from NiAl layered double hydroxide showed high activity for hydrogenolysis of various lignin models. Especially, hydrogenolysis of benzyl phenyl ether could be efficiently proceeded at 20°C and 1 MPa H2.
Jinpeng Liang, Ziyi Ma, Zhaoxi Cai, Kongqian Liang, Chenglei Xiao, Sitong Chen, Na Wang, Zhimin Xue, Chao Xie, Jinliang Song   +9 more
wiley   +1 more source

High‐Throughput Screening and Interpretable Machine Learning for Rational Design of Bimetallic Catalysts for Methane Activation

Advanced Science, EarlyView.
ABSTRACT Methane's efficient catalytic removal is vital for sustainable development. Bimetallic catalysts, though promising for methane activation, pose a design challenge due to their complex compositional space. This work introduces an integrated framework that combines high‐throughput density functional theory (DFT) and interpretable machine ...
Mingzhang Pan, Tian Zhang, Jiawei Dong, Yubao Xie, Kaifeng Zhong, Wei Guan, Haiqiao Wei, Changcheng Fu, Yaqiong Su   +8 more
wiley   +1 more source

Data‐Driven Modeling of Composition–Processing–Microstructure Relations for Recycled Aluminum Cast Alloys

Advanced Science, EarlyView.
Interpretable machine learning reveals how composition and processing govern the formation and microstructural burden of Fe‐rich intermetallic compounds in recycled Al–Si–Fe–Mn alloys. By separating morphology selection from morphology‐conditioned burden partitioning, this framework shows that identical Fe contents can yield different intermetallic ...
Jaemin Wang, Waleed Mohammed, Dierk Raabe   +2 more
wiley   +1 more source

Self‐Adaptive Non‐Flammable Wallpaper With Layered Bead‐Network Structure for Light Path Modulation Enabling on‐Demand Building Thermal Management

Advanced Science, EarlyView.
A layered bead‐network wallpaper is designed to modulate the light propagation path, overcoming the color residue limitations of thermochromic components for efficient automatic switching between radiative cooling and solar heating modes. The layered bead‐network wallpaper provides passive, all‐season thermal regulation while offering self‐cleaning and
Jianyu Wu, Linmin Xia, Jiankun Wu, Yuying Yang, Wuhong Zhong, Jianguo Li, Yan Yu, Rilong Yang   +7 more
wiley   +1 more source

Repeated measures of decaying wood reveal the success and influence of fungal wood endophytes

mSystems
Predicting wood decomposition is challenging due to complex successional dynamics among decomposers that colonize and defend wood territory. This starts with saprotrophic fungi that reside latently in healthy wood until trees senesce, but these ...
Yanmei Zhang, Zhuobing Peng, Zewei Song, Jonathan S. Schilling   +3 more
doaj   +1 more source

Tailored Synthesis of Doped Non‐Layered Oxide Nanosheets Using Designed Solid‐State Surfactants

Advanced Science, EarlyView.
This work reports a solid‐state surfactant templating method that enables precise doping of non‐layered oxide nanosheets. Using ceria and rare‐earth elements as model systems, we established design principles for solid‐state surfactants containing multiple elements.
Kentaro Ito, Eisuke Yamamoto, Kohei Hayashi, Daiki Kurimoto, Makoto Kobayashi, Minoru Osada   +5 more
wiley   +1 more source

Tailoring Multifunctional Carbon Dots via Precursor Stoichiometry: Switching Between Solid‐State Fluorescence and Broadband Absorption Through Aggregation Control

Advanced Science, EarlyView.
Precursor stoichiometry programs the surface chemistry of carbon dots, directing their self‐assembly into distinct aggregation modes. Aldehyde‐enriched surfaces form ordered, hydrogen‐bonded assemblies that enable bright red solid‐state fluorescence, whereas amine‐rich surfaces promote compact π–π stacked aggregates with broadband visible‐light ...
Gaixia Yang, Hao Sun, Defa Hou, Fulin Yang, Yuan Zou, Bei Zhou, Lanxiang Liu, Xu Lin, Guanben Du   +8 more
wiley   +1 more source

Interpretable Machine Learning Framework for Nb─Si Based Alloy Design with Enhanced Fracture Toughness

Advanced Science, EarlyView.
An interpretable machine learning framework integrating SHAP and PDP analysis identifies critical design descriptors from 139 physicochemical features for Nb─Si alloys. The framework achieves <7% prediction error and guides the discovery of Nb38.5Ti38.5Si3Zr18V2 alloy with 22.791 MPa·m1/2 fracture toughness, breaking the 20 MPa·m1/2 barrier.
Dezhi Chen, Chao Xu, Jingyue Yu, Qi Wang, Hongze Fang, Shuo Yin, Turab Lookman, Ruirun Chen   +7 more
wiley   +1 more source