Results 121 to 130 of about 368 (207)
Exact Discrete Stochastic Simulation With Deep‐Learning‐Scale Gradient Optimization
Advanced Science, EarlyView.A 203,796‐parameter gene regulatory network classifies handwritten digits with 98.4% accuracy using exact stochastic dynamics. The framework decouples forward simulation from backward differentiation, making continuous‐time Markov chain models compatible with deep‐learning optimization.
Jose M. G. Vilar, Leonor Saiz
wiley +1 more source
Machine‐Learning Framework for Designing Stable Interfaces in All‐Solid‐State Lithium‐Ion Batteries
Advanced Science, EarlyView.A data‐driven strategy is developed to discover coating materials for all‐solid‐state lithium batteries. Using calculations of interfacial reactivity, unsupervised pattern recognition, and machine‐learning prediction, the study identifies low‐reactivity compositional patterns and screens new lithium‐based oxide and polyanion candidates, extending ...
Sehyeok Park +4 more
wiley +1 more source
Advanced Science, EarlyView.By leveraging strong antiferromagnetic coupling, radiation‐tolerant synthetic antiferromagnetic synaptic devices are developed. Their intrinsic nonlinearity emulates neuronal activation, while linear and symmetric conductance modulation mimics synaptic plasticity.
Mingxu Song +5 more
wiley +1 more source
Advanced Science, EarlyView.Unconventional spin currents are generated in an antiferromagnetic NiO(110)/Ta/CoFeB trilayer, where the Néel vector governs spin transport. The resulting spin–orbit torques enable deterministic field‐free switching of perpendicular magnetization.
Hyeong‐Joo Seo +12 more
wiley +1 more source
Advanced Science, EarlyView.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
Emergent Spinning and Orbital Motion in Clustered Wind‐Assisted Flyers
Advanced Science, EarlyView.Inspired by natural snowflake geometries, paper‐cut flyers exhibit geometry‐defined spinning and orbital motions during cluster formation in a wind tunnel. Collective flights of multiple paperflakes reveal dynamic clustering, fragmentation, and continuously evolving spin behaviors.
Bingnan Zhou +7 more
wiley +1 more source
Advanced Science, EarlyView.A microfluidic device with monolithically integrated nanostructures enables high‐throughput wounding of the cell membrane and nuclear envelope. The spatial distribution of charged multivesicular body protein 4B (CHMP4B) within the cell is mapped before and after wounding, showing involvement in repair of both the cell membrane and nuclear envelope ...
Apresio K. Fajrial +5 more
wiley +1 more source
Hamaker Constants of van der Waals Materials under Clean‐Interface Conditions
Advanced Science, EarlyView.Clean‐interface adhesion in representative van der Waals materials is quantified by Ultra High Vacuum (UHV) Atomic Force Microscopy (AFM) with in situ cleaning and calibrated probes. Benchmark Hamaker constants for graphene, MoS2, and SiO2 are established, while humidity is shown to reversibly amplify adhesion, explaining much of the scatter in ...
Daniel Gallego‐Fuente +3 more
wiley +1 more source
Gap‐Free Information Transfer in 4D‐STEM via Fusion of Complementary Scattering Channels
Advanced Science, EarlyView.Fused Full‐Field STEM (FF‐STEM) is introduced as a 4D‐STEM imaging modality that combines direct ptychography with tilt‐corrected dark‐field reconstruction in a single acquisition. Fourier‐space fusion using Wiener‐type spectral weighting closes the low‐frequency contrast gap inherent to bright‐field methods, delivering gap‐free, dose‐efficient, near ...
Shengbo You +15 more
wiley +1 more source