Results 101 to 110 of about 168,963 (261)
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj +8 more
wiley +1 more source
Spacecraft catering to the Lunar Gateway or other “permanent” stations in the lunar vicinity would require frequent travel between periodic orbits around the Earth–Moon L1 and L2 Lagrange points.
Kevin I. Alvarado, Sandeep K. Singh
doaj +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
Co1/3TaS2${\rm Co}_{1/3}{\rm TaS}_{2}$ hosts a triple‐Q noncoplanar antiferromagnetic state with coexisting Z3${\rm Z}_3$ electronic nematicity. We report rotational hysteresis observed in both magnetoresistance and magnetic torque, revealing strongly pinned in‐plane weak ferromagnetic moments in the triple‐Q phase and the magnetism‐driven nature of ...
Joonyoung Choi +5 more
wiley +1 more source
Assessment of Flyby Methods as Applied to Close Encounters among Asteroids
Orbital flybys have been extensively studied for spacecraft missions, resulting in effective mathematical and physical models. However, these models’ applicability to natural encounters involving asteroids has not been explored.
Nicolò Stronati +3 more
doaj +1 more source
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Alvarez, Martha, Llibre, Jaume
openaire +2 more sources
Artificial Intelligence Meets Micro/Nanorobotics
Artificial intelligence is transforming micro‐ and nanorobots from externally controlled, task‐specific machines into adaptive, autonomous systems. Machine learning, multimodal perception, digital twins, AI‐guided materials and geometry design enhance propulsion, localization, decision‐making, whichaccelerates clinical and environmental applications ...
Fatma M. Yurtsever +6 more
wiley +1 more source
Seamless Mechanical Programming Through Hybrid Epoxy–Acrylate Printing for Soft–Rigid Robots
Hybrid epoxy‐acrylate printing enables seamless fabrication of soft–rigid robotic systems with covalently integrated interfaces and functionally graded mechanics. Grayscale exposure expands the accessible material space, enabling spatially programmed actuation through patterned stiffness while revealing the mechanics and durability of continuously ...
David C. Bershadsky +3 more
wiley +1 more source
Charge‐reversed lipid nanoparticles (revLNPs) enable efficient encapsulation and delivery of cationic Pt2L4 nanocages. Encapsulation preserves potent anticancer activity while improving circulation, reducing vascular leakage, and promoting favorable biodistribution in vivo.
Renzo A. Knol +16 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

