Results 151 to 160 of about 217 (191)

Computer-Based Collaborative Problem Solving in PISA 2015 and the Role of Personality. [PDF]

J Intell, 2019
Stadler M, Herborn K, Mustafić M, Greiff S.   +3 more
europepmc   +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

Transferable Deep Reinforcement Learning With Edge‐Contour‐Depth Fusion for Autonomous Wireless Capsule Endoscopy Navigation

Advanced Science, EarlyView.
This study presents an anatomical landmark‐guided DRL framework for autonomous wireless capsule endoscopy navigation. Using a lightweight edge‐contour‐depth fusion module, it achieves over 97% coverage across diverse gastric anatomies. To ensure reliability, a two‐stage sim‐to‐real pipeline with an adaptive dynamic programming controller mitigates ...
Haoxuan Wu, Haitao Gao, Qingyang Liu, Sishen Yuan, Haiyang Fang, Mingwu Su, Baijia Liang, Yongzun Yang, Long Bai, Wenzhen Dong, Dihong Xie, Shijian Su, Jiewen Lai, Shing Shin Cheng, Zhen Li, Xiuli Zuo, Hongliang Ren   +16 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

Single‐Atom Intercalation‐Driven Topological Ferroelectric Metal for High‐Performance Hydrogen Evolution Reaction

Advanced Science, EarlyView.
Single‐atom Cu intercalation enables porous AB3 monolayers to integrate ferroelectricity, metallicity, topology, and hydrogen evolution catalysis in one platform. Switchable FE polarization modulates work function and hydrogen adsorption thermodynamics, providing an electrically controllable route to activate basal‐plane HER activity in topological ...
Rongxuan Lu, Jian Zhang, Jialin Gong, Wenxian Li, Gang Zhang   +4 more
wiley   +1 more source

Interfacial Proton‐Relay Microenvironment Enables Self‐Driven Singlet Oxygen Generation under Neutral Conditions

Advanced Science, EarlyView.
An interfacial proton‐relay microenvironment at MoS2‐CuCl heterostructures enables selective O2 activation to 1O2 under neutral conditions. Electron‐deficient sulfur sites mediate proton transfer to Cu‐bound O2, accelerating *OOH hydrogenation while suppressing O─O bond cleavage, achieving stable, efficient pollutant removal.
Qiaoyu Gao, Xiaohui Dai, Jian Ye, Lili Li, Chenxiao Yu, Yuehan Jiang, Jiangdong Dai, Xiaohua Tian, Jun Zhao, Jianming Pan   +9 more
wiley   +1 more source

Large Language Model‐Informed Dual‐Track AI Framework for the Synergistic Design of Crack‐Free and High‐Strength Superalloys

Advanced Science, EarlyView.
This paper illustrates a knowledge‐augmented dual‐track AI framework for advanced superalloy design. First, Large Language Models translate metallurgical heuristics into explicit rules to rapidly prune a vast compositional search space. Subsequently, LLM‐distilled priors safely guide a reinforcement learning agent during autonomous process optimization,
Jian Yao, Junkang Wu, Jie Su, Fuzhu Wang, Zi Wang, Li Wang, Liming Tan, Lan Huang, Feng Liu, Yong Liu   +9 more
wiley   +1 more source

Brain‐Computer Interface Training Fosters Perceptual Skills to Detect Errors

Advanced Science, EarlyView.
Accurate perception of visuomotor errors underpins motor precision and learning, yet conventional behavioral training fails to improve sensitivity to subtle errors. Real‐time EEG‐based brain‐computer interface feedback targeting the error positivity component enhances perceptual learning of small errors.
Deland H. Liu, Fumiaki Iwane, Minsu Zhang, Leonardo G. Cohen, José del R. Millán   +4 more
wiley   +1 more source

Growth‐Pathway‐Controlled van der Waals Epitaxy of Phase‐Selective Tin Sulfides

Advanced Science, EarlyView.
Growth‐pathway‐controlled van der Waals epitaxy enables deterministic phase selection and strain engineering in tin sulfide/WSe2 heterostructures. Direct growth of SnS induces substrate‐mediated strain and phase evolution, whereas sequential growth through an SnS2 buffer suppresses strain transfer and stabilizes pristine α‐SnS, revealing a versatile ...
Jaehyeok Lee, Jinwoo Kim, Gwan‐Hyoung Lee   +2 more
wiley   +1 more source