Results 151 to 160 of about 1,528,765 (246)
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
Resonant Domain Wall Dynamics in a Three‐Dimensional Magnetic Nano Double Helix
3D magnetic nanostructures promise exciting possibilities for magnetization dynamics. However, experimental realizations remain scarce. In nanoprinted cobalt double helices, time‐resolved X‐ray microscopy reveals harmonic domain wall dynamics. Simulations identify the mode and additional higher‐frequency resonances, revealing a rich dynamic landscape ...
Pamela Morales‐Fernández +15 more
wiley +1 more source
Template effect and kinetic control enable crystal‐phase engineering of Ru nanocrystals, granting access to either metastable fcc‐Ru or stable hcp‐Ru with distinct surface structures, thermal stabilities, and catalytic behaviors. Moreover, the hcp‐Ru can further serve as an epitaxial template to direct Pd and Rh nanocrystals into the metastable hcp ...
Jianlong He +3 more
wiley +1 more source
Single‐Particle FRET Probes Heterogeneity in the Ligand Shell of Colloidal Perovskite Quantum Dots
Single‐particle, single‐molecule Förster resonance energy transfer turns dye‐tagged ligands into nanorulers for the otherwise elusive organic shell of CsPbBr3 quantum dots. Distance variations within individual particles reveal pronounced local heterogeneity, while changes in the surrounding ligand chemistry shift the average dye–surface separation ...
Leon G. Feld +6 more
wiley +1 more source
Breaking Bottlenecks in Solid Electrolyte Discovery With Large Artificial Intelligence Models
Large AI models are presented as a route to break key bottlenecks in solid electrolyte discovery by linking materials databases, machine‐learning interatomic potentials, large language models, and autonomous experiments. This perspective highlights how AI can accelerate the identification of solid electrolytes with fast ion transport, stable interfaces,
Eric Jianfeng Cheng +24 more
wiley +1 more source
Advances in Bio‐Integrated Edge Computing Systems for Smart and Connected Health
This review explores advances in bio‐integrated edge computing for healthcare, focusing on co‐designing computing, sensing, and energy strategies to overcome integration and power challenges for optimized, decentralized operation. ABSTRACT Recent advances in bio‐integrated healthcare technologies have enabled continuous, high‐resolution monitoring and ...
Gyuwon Kim +4 more
wiley +1 more source
Cross‐sectional Lorentz TEM and off‐axis electron holography visualize the magnetic domain structure and quantify interlayer coupling in Fe3GeTe2/graphite/Fe3GeTe2 heterostructures. A stray‐field coupling length of 37±$\pm$7 nm marks the onset of domain misalignment between the layers.
Joachim Dahl Thomsen +6 more
wiley +1 more source
From Water Vapor Transmission Rate (WVTR) to Intrinsic Water Vapor Permeability (WVP)
Breathable membranes can appear less permeable when the measurement apparatus limits vapor transport. A calibrated four‐step model describes membrane permeation and apparatus effects as resistances in series under a common chemical‐potential driving force.
Xianke Feng +6 more
wiley +1 more source
What is the Optimal Way to Lie? From Microscopic to Kinetic Descriptions of Consensus Control. [PDF]
Glendinning S, Gomes SN, Wolfram MT.
europepmc +1 more source
Toward Conditions for Consensus of Noisy Bounded-Confidence Models
Models of opinion dynamics aim to describe the spread of opinions over time in a social network. However, many canonical models are deterministic and thus may fail to capture uncertainty present in social interactions.
Reeve, Madeline
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