Results 121 to 130 of about 3,596 (169)

An Expertise Transfer Framework For Autonomous Surgical Assistance

open access: yesAdvanced Science, EarlyView.
This study introduces an expertise transfer framework for procedure‐spanning autonomous surgical assistance. By emulating expert logic through hierarchical perception, attention modeling, and knowledge graph‐based decision‐making, the system provides near‐expert surgical view assistance.
Yuan Gao   +12 more
wiley   +1 more source

Q‐LEAP: Millisecond Hyperdimensional Optimization for Full‐Spectrum Optical Metamaterials

open access: yesAdvanced Science, EarlyView.
Q‐LEAP integrates physics‐informed residual machine learning with factorization‐machine‐encoded quantum annealing to design full‐spectrum optical metamaterials. It explores a 2108 design space and, in a single 2.56 ms annealing step, reaches 85.83% of the theoretical FoM limit, enabling selective 5‐8 µm emission with 3–5 and 8–14 µm suppression and ∼40×
Zikang Guo   +3 more
wiley   +1 more source

Rhizodeposition Drives One Third of Belowground Carbon Input in Agroecosystems

open access: yesAdvanced Science, EarlyView.
This study quantifies photosynthesized C allocation in the plant–soil system across six crop types: barley, wheat, maize, rice, legumes and grasses. It reports C partitioning into shoot respiration, shoot‐C, root‐C, net rhizodeposition and root‐derived CO2, providing standardized percentage averages and GPP‐derived absolute values as a robust baseline ...
Zhengjun Yan   +10 more
wiley   +1 more source

Bridging Chemical Literature and Molecular Graphs: LLM‐Augmented Enantioselectivity Prediction for Iridium‐Catalyzed Asymmetric C–H Borylation

open access: yesAdvanced Science, EarlyView.
A machine‐learning framework for asymmetric C–H borylation bridges multi‐entity 3D molecular graphs and chemical literature. Atom‐resolved mechanistic annotations extracted by large language models augment three‐component graph encoding of catalyst, substrate, and product. The model predicts enantioselectivity with high accuracy on unseen scaffolds and
Zhe Wang   +4 more
wiley   +1 more source

Uniaxial Strain‐Driven Ferroelastic Domain Tuning in LaAlO3${\rm LaAlO}_3$

open access: yesAdvanced Science, EarlyView.
The present work demonstrates based on AFM, μ$\umu$‐Raman spectroscopy, XRD, and first‐principles, that uniaxial strain provides a handle for tuning the ferroelastic domain populations in lanthanum aluminate, driving a continuous and controlled phase transition from a four‐variant rhombohedral crystal system to a two‐variant orthorhombic crystal system
Matthias Roeper   +17 more
wiley   +1 more source

Hardware Acceleration of Stochastic Neural Networks Enabled by Bit‐Cell Level Co‐Design of Magnetic Tunnel Junctions

open access: yesAdvanced Science, EarlyView.
An MTJ‐based probabilistic processing‐in‐memory architecture unites nonvolatile storage, local entropy generation, and stochastic computation within each memory cell. Stored multi‐bit weights are converted directly into programmable stochastic bitstreams, enabling neural‐network inference, adaptive Ising optimization, and uncertainty‐aware Bayesian ...
Qiuyuan Wang   +6 more
wiley   +1 more source

Re‐Thinking Electronic Circuit Design Through Emerging Reconfigurable Field Effect Transistors

open access: yesAdvanced Science, EarlyView.
Graphical illustration of reconfigurable field effect transistor (RFET) operation modes, including n‐type, p‐type, and ambipolar transport, as well as their areas of application discussed in this review: digital circuit design, analog circuit design, post‐Shannon computing, and sensing. ABSTRACT Reconfigurable field‐effect transistors, short RFETs, are
Jens Trommer   +19 more
wiley   +1 more source

Hardware‐Native Gaussian Sampling With Probabilistic Ising Machines for Modern Communication Paradigms

open access: yesAdvanced Science, EarlyView.
Probabilistic Ising machines are introduced as hardware‐native Gaussian samplers for edge communication workloads. Tunable variance and sampling density enable accurate distributions for Falcon‐class post‐quantum signatures and diffusion‐based semantic communication.
Davi Rodrigues   +10 more
wiley   +1 more source

Accelerated Discovery of Earth‐Abundant Oxygen Evolution Catalysts Through Surface‐Informed Active Learning

open access: yesAdvanced Science, EarlyView.
A surface‐informed active learning framework integrated with density functional theory enables resource efficient screening of the NiCoFe ternary composition space. Experimental validation identifies Ni55Co10Fe35 as the optimal composition, exhibiting favorable oxygen evolution reaction kinetics.
Hayun Jeon   +5 more
wiley   +1 more source

Habitat‐Specific Design Strategies for Untethered Soft Robots

open access: yesAdvanced Science, EarlyView.
Habitat shapes the design of untethered soft robots. Across land, water, air, and living tissues, environmental constraints govern viable combinations of compliant structures, actuation mechanisms, and energy delivery. This review connects these constraints with robotic performance and identifies design principles for advancing adaptable, durable, and ...
Siyang Li   +3 more
wiley   +1 more source

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