Results 111 to 120 of about 11,444,850 (192)

Interpretable Machine Learning Framework for Nb─Si Based Alloy Design with Enhanced Fracture Toughness

open access: yesAdvanced Science, EarlyView.
An interpretable machine learning framework integrating SHAP and PDP analysis identifies critical design descriptors from 139 physicochemical features for Nb─Si alloys. The framework achieves <7% prediction error and guides the discovery of Nb38.5Ti38.5Si3Zr18V2 alloy with 22.791 MPa·m1/2 fracture toughness, breaking the 20 MPa·m1/2 barrier.
Dezhi Chen   +7 more
wiley   +1 more source

Photonic‐Enabled Energy‐Efficient Transparent Neuromorphic Computing Devices: A Review

open access: yesAdvanced Science, EarlyView.
Transparent photonic neuromorphic computing devices merge optics and brain‐inspired computing to overcome von Neumann bottlenecks with ultrafast, low‐energy processing. By exploiting transparent oxides, 2D materials, phase‐change materials, and hybrid heterostructures, these platforms enable photonic synapses, memory, and logic for see‐through edge ...
Shuvaraj Ghosh   +8 more
wiley   +1 more source

Towards a Theory of Cooperative Problem Solving

open access: yes, 1994
One objective of distributed artificial intelligence research is to build systems that are capable of cooperative problem solving. To this end, a number of implementation-oriented models of cooperative problem solving have been developed.
Jennings, N. R.   +3 more
core   +1 more source

Automated Extraction of Multicomponent Alloy Data Using Large Language Models for Sustainable Design

open access: yesAdvanced Science, EarlyView.
A large language model (LLM) based pipeline is developed to automatically extract a comprehensive and accurate multicomponent alloy database from literature corpus. The extracted dataset is integrated with sustainability indicators to identify potential alloys that outperform existing industrial benchmark materials in terms of both performance and ...
Aravindan Kamatchi Sundaram   +4 more
wiley   +1 more source

A Versatile‐Designable Framework for Active and Programmable Shape‐Morphing Soft Matter Systems: From Inverse Design to Closed‐Loop Control

open access: yesAdvanced Science, EarlyView.
A versatile framework integrates addressable electrothermal actuation and strain‐constraint mechanisms to construct programmable shape‐morphing soft matter systems. By combining an analytical inverse design strategy for high‐fidelity 3D surface reconstruction with deep learning‐based closed‐loop control, this approach enables zero‐energy shape locking,
Kai Liu   +5 more
wiley   +1 more source

A Portable Soft Robotic Glove with Fully Functional Thumb Assistance for Complex Dexterous Fine Motor Skills

open access: yesAdvanced Science, EarlyView.
A portable, sensorized, and controlled dexterous thumb‐enhanced glove helps stroke survivors swipe phones, twist caps, and perform other tasks. It is based on a powerful continuously, segmented origami dual chamber actuator to achieve active thumb CMC and MCP joint assistance and passively extend the IP joint.
Disheng Xie   +10 more
wiley   +1 more source

A Generative Neuro‐Symbolic AI for Protein Sequence Design

open access: yesAdvanced Science, EarlyView.
We introduce EffieDes, a neuro‐symbolic framework coupling deep learning‐based fitness landscape parameterization with exact automated reasoning. Unlike greedy sampling, EffieDes identifies sequences that globally optimize fitness while satisfying intricate design constraints.
Marianne Defresne   +12 more
wiley   +1 more source

Mathematical Problem-Solving Ability in Solving PLSV

open access: yes
Mathematical problem-solving ability is a complex cognitive activity, as a process to overcome a problem encountered and to solve it requires several strategies.
Maharani, Zuliya, Cesaria , Anna
core  

Notes on 'perpetual question' of problem solving: how can learners best be taught problem-solving skills? [PDF]

open access: yes, 2008
Although problem solving was a major focus of mathematics education research in many countries throughout the 1990s, not enough is known about how people best acquire problem-solving skills.
Yevdokimov, Oleksiy, Taylor, Peter
core  

Covalently Integrated Selenoviologen–N‐Heterocyclic Carbene–Pt Nanoparticles for Visible‐Light‐Driven Hydrogen Evolution

open access: yesAdvanced Science, EarlyView.
A covalently integrated single‐component photocatalyst is constructed by anchoring selenoviologen to platinum nanoparticles via robust N‐heterocyclic carbene ligands. The resulting Pt─C covalent bonds function dually as protective structural scaffolds and direct channels for ultrafast intramolecular electron transfer This precise interfacial ...
Wenxi He   +8 more
wiley   +1 more source

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