Results 241 to 250 of about 4,234,287 (306)
Generative artificial intelligence (AI) is increasingly being used in rheumatology practice, to assist with tasks such as documentation, record summarization, and clinical decision support. Rheumatologists need a practical approach to determining what evidence and oversight each application requires.
Koushan Kouranloo +2 more
wiley +1 more source
Unexpected Asymmetric Mn‐Sb Site Mixing and Reentrant Spin‐Glass State of MnSb2Te4
MnSb2Te4 is an intrinsic magnetic topological insulator. Its properties are extraordinarily sensitive to tiny defects, making structural studies essential for understanding how magnetism and topology work together. This work shows that Mn can be unevenly distributed within the crystal and how that disorder is linked to a newly reported spin‐glass state
Gustavo Chavez Ponce de Leon +7 more
wiley +1 more source
NeuroVisio SyncPatch integrates skin‐conformal electromyography (EMG) electrodes with camera‐tracked markers to jointly assess muscle activity and three‐dimensional knee kinematics during rehabilitation. Parallel feedback pathways provide real‐time kinematic guidance during movement and post‐trial neuromuscular feedback.
Bohyung Choi +11 more
wiley +1 more source
Bioinspired Adaptive Sensors: A Review on Current Developments in Theory and Application
This review comprehensively summarizes the recent progress in the design and fabrication of sensory‐adaptation‐inspired devices and highlights their valuable applications in electronic skin, wearable electronics, and machine vision. The existing challenges and future directions are addressed in aspects such as device performance optimization ...
Guodong Gong +12 more
wiley +1 more source
Molecular doping of conjugated polymers is fundamentally constrained by thermodynamic phase behavior. This Perspective reframes doping efficiency and stability in terms of miscibility limits, binodals, and solvus boundaries, highlighting the role of effective interaction parameters and charge transfer.
Somayeh Kashani +10 more
wiley +1 more source
Organic Materials of Tomorrow: Horizons of Artificial Intelligence
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena +3 more
wiley +1 more source
Bridging Biosensing and Hardware‐Level Data Security With a Conjugated Radical Polymer
A conjugated radical polymer provides two complementary functions within a common material platform: sensitive dopamine biosensing and device‐specific stochastic electrical responses for security. The work demonstrates a materials‐based approach for combining bioelectronic signal acquisition with hardware‐level authentication while maintaining the ...
Hoyeon Lee +9 more
wiley +1 more source
A sonochemical strategy constructs an ex situ 2D hierarchical black phosphorus–Mn2O3 heterostructure, enabling intimate interfacial coupling, enhanced charge transport, and improved electrochemical stability. The optimized BPM‐37.5% electrode delivers 466 F g−1 with 84% retention after 8000 cycles, while the flexible device exhibits high areal energy ...
Sowmiya Selvaraj +1 more
wiley +1 more source

