Photonic‐Enabled Energy‐Efficient Transparent Neuromorphic Computing Devices: A Review
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
Organizational dynamics and individual motivations in VR integration in higher education. [PDF]
Johansen F +3 more
europepmc +1 more source
Automated Extraction of Multicomponent Alloy Data Using Large Language Models for Sustainable Design
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
Electrolyte–Framework Matching in High‐Voltage TEMPO‐COF Cathodes for Lithium Batteries
TEMPO‐functionalized covalent organic frameworks are investigated as high‐voltage cathodes for lithium batteries. Screening five electrolyte anions identifies lithium difluoro(oxalato)borate (LiDFOB) as the optimal electrolyte, balancing capacity, rate capability, and cycling stability, while buckypaper electrodes achieve high mass loading (40 mg cm−2)
Marilyn Esclance DMello +5 more
wiley +1 more source
Ideologically biased evaluation of evidence - A signal-detection approach to measure individual differences. [PDF]
Stolp A +4 more
europepmc +1 more source
Polarization Dynamics in Ferroelectrics: Insights Enabled by Machine Learning Molecular Dynamics
Machine learning molecular dynamics is presented as a route to capture polarization switching, domain wall kinetics, topological polar textures, and polar mechanical coupling beyond the limits of conventional atomistic methods. This Perspective surveys recent progress and identifies key methodological directions, including long‐range electrostatics ...
Dongyu Bai +3 more
wiley +1 more source
RoadTopo-SAM:Topology-Aware Vectorized Road Network Extraction from High-Resolution Satellite Imagery of Open-Pit Mines. [PDF]
Zou B +6 more
europepmc +1 more source
Autonomous laboratories can now synthesize materials faster than experts can interpret the resulting diffraction data. A probabilistic framework combines refinement‐fit metrics with large language model‐derived chemical reasoning to rank competing phase interpretations and flag those unsuitable for autonomous use.
Olympia Dartsi +7 more
wiley +1 more source
Cognitive load and individual differences as drivers of health-related misinformation: A signal detection approach. [PDF]
Puebla G +5 more
europepmc +1 more source
Hydrogen‐driven iron oxide reduction, water‐iron corrosion, and hydrogen embrittlement of metallic iron share the same Fe‐O‐H chemistry. A general‐purpose Atomic Cluster Expansion potential covers this chemistry across the full concentration range with explicit Ising‐like treatment of magnetism.
Baptiste Bienvenu +5 more
wiley +1 more source

