Results 211 to 220 of about 3,047,766 (352)

Photonic‐Enabled Energy‐Efficient Transparent Neuromorphic Computing Devices: A Review

open access: yesAdvanced Science, EarlyView.
Transparent photonic neuromorphic computing devices merge optics and brain‐inspired computing to overcome von Neumann bottlenecks with ultrafast, low‐energy processing. By exploiting transparent oxides, 2D materials, phase‐change materials, and hybrid heterostructures, these platforms enable photonic synapses, memory, and logic for see‐through edge ...
Shuvaraj Ghosh   +8 more
wiley   +1 more source

Adsorption of Forever Chemical Pollutants: The Physical Chemistry of PFAS Near Surfaces

open access: yesAdvanced Science, EarlyView.
Current adsorption‐based remediation techniques for removing per‐ and polyfluoroalkyl substances (PFAS) from water are limited by knowledge gaps on PFAS behavior near solid surfaces. This review provides a state of the art on theoretical and experimental aspects of PFAS adsorption.
Nada Ben Amor   +3 more
wiley   +1 more source

The Effectiveness of the Application of Problem-Solving Learning Models to Mathematical Problem-Solving Abilities [PDF]

open access: yes
: Many factors cause the low ability of students to solve mathematical problems, including teacher-centered learning and learning habits. Students are only used to learning by memorization, whereas this method does not train mathematical problem-solving ...
Salmah, Ratu Ummu   +3 more
core  

Machine Learning‐Driven Prediction of Microplastic Aging Processes and Environmental Risk Assessment Across Multi‐Media Systems

open access: yesAdvanced Science, EarlyView.
This perspective proposes a cohesive machine learning strategy to decode microplastic aging. It advocates for Federated Learning to dismantle global data silos and introduces the TRACE framework (TRansport, Aging, Corona, Ecotoxicity). By integrating physics‐informed modeling with causal discovery, this approach bridges the laboratory‐field gap to ...
Yaping Lyu   +6 more
wiley   +1 more source

Automated Extraction of Multicomponent Alloy Data Using Large Language Models for Sustainable Design

open access: yesAdvanced Science, EarlyView.
A large language model (LLM) based pipeline is developed to automatically extract a comprehensive and accurate multicomponent alloy database from literature corpus. The extracted dataset is integrated with sustainability indicators to identify potential alloys that outperform existing industrial benchmark materials in terms of both performance and ...
Aravindan Kamatchi Sundaram   +4 more
wiley   +1 more source

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