Results 131 to 140 of about 1,586,260 (251)

ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals

open access: yesAdvanced Science, EarlyView.
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray   +3 more
wiley   +1 more source

Elementary and Pre-Service Teachers' Strategies for Working with Students with Hyperactivity

open access: yesCurrent Issues in Education, 2015
This study investigated the types of interventions that elementary school teachers and pre-service teachers choose to employ when working with students displaying hyperactive behavior.
John L. Nietfeld, Angela A. Hunt
doaj  

Efficient Screening of Organic Singlet Fission Molecules Using Graph Neural Networks

open access: yesAdvanced Science, EarlyView.
A high‐throughput screening framework based on graph neural networks (GNNs) and multi‐level validation facilitates the identification of singlet fission (SF) candidates. By efficiently predicting excitation energies across 20 million molecules, and integrating TDDFT calculations, synthetic accessibility assessments, and GW+BSE calculations, this ...
Li Fu   +5 more
wiley   +1 more source

Superatom Distortion Induces Triferroicity and Spin Splitting in Two‐Dimensional Antiferromagnets

open access: yesAdvanced Science, EarlyView.
The incorporation of superatoms into a 2D square lattice induces symmetry breaking, thereby enabling concurrent coupling among magnetism, ferroelectricity, and ferroelasticity. This strategy achieves triferroic behavior—characterized by spin‐split antiferromagnetic ground states—and offers a viable pathway toward energy‐efficient spintronic devices ...
Zhen Gao   +6 more
wiley   +1 more source

Halide Perovskite: A Rich Source of Thermal Insulator

open access: yesAdvanced Science, EarlyView.
Halide perovskites exhibit ultralow thermal conductivity driven by intrinsic lattice softness and strong anharmonicity, falling below conventional defect‐engineering limits. Weak metavalent bonding, A‐site rattling, and dynamic octahedral tilting drive phonon scattering to the Ioffe–Regel limit, where wave‐like tunneling replaces particle‐like ...
Haolin Ye   +3 more
wiley   +1 more source

Closing the Empirical Loop: Autonomous AI Agents Conduct End‐to‐end Research With Human Participants

open access: yesAdvanced Science, EarlyView.
A multi‐agent AI system autonomously executes the complete scientific workflow, from hypothesis to manuscript, across three psychological studies involving 288 participants. The system designs experiments, collects real world data, develops analysis pipelines, and writes manuscripts with theoretical rigor comparable to experienced researchers.
Gabrielle Wehr   +6 more
wiley   +1 more source

Space‐Time Metasurface Antenna Enabled High‐Dimensional Electromagnetic Modulation for Intrinsic Physical Layer Security

open access: yesAdvanced Science, EarlyView.
The concept of high‐dimensional EM modulation using the STMA for physical layer secure communication is illustrated in figure. The STMA consists of a series of programmable unit cells, with 1‐bit reconfigurable phase states (0/π). The STMA is excited by a monochromatic continuous wave (CW) at frequency fc and controlled by a field‐programmable gate ...
Xinyu Fang   +6 more
wiley   +1 more source

Deep semantic entity linking

open access: yes
Knowledge organization systems, such as ontologies and knowledge graphs, are essential for organizing biomedical and clinical information and data. However, the growing volume of available scientific literature raises challenges in their maintenance ...
RUAS, PEDRO
core  

Multi-Agent Classifiers Fusion Strategy for Biomedical Named Entity Recognition

open access: yes, 2008
Recognizing the biomedical named entity hasbecome one of the most fundamental tasks in thebiomedical knowledge discovery. The multi-agentclassifiers fusion approach proposed here was found toefficiently recognize biomedical named entity.
Zhao Tiejun, Wang Haochang, Liu Jianmiao
core  

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