Results 151 to 160 of about 3,920,328 (252)

Automating Chemical Reasoning in High‐Throughput Phase Identification With a Probabilistic, LLM‐Guided Framework

open access: yesAdvanced 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

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

From Folding Mechanics to Robotic Function: A Unified Modeling Framework for Compliant Origami

open access: yesAdvanced Science, EarlyView.
A geometry‐consistent DDG framework captures compliant origami deformation from rigid‐like folding to soft panel bending. By tuning crease and panel stiffness, bistable snap‐through responses transform into smooth monostable deformation, enabling programmable stability and robot‐scale locomotion.
Bohan Zhang   +7 more
wiley   +1 more source

A Rigid–Foldable Kirigami‐Inspired Metamorphic Mechanism With Programmable Motion Modes and Self‐Locking

open access: yesAdvanced Science, EarlyView.
Geometric constraint reconfiguration enables a rigid–foldable kirigami‐inspired mechanism to switch between twisting, directional translation, and self‐locking states. By encoding multifunctionality directly into its architecture, the mechanism achieves multimodal motion and passive locking without reassembly, providing a compact platform for adaptive ...
Jianlin Wang, Zhongmin Song, Ketao Zhang
wiley   +1 more source

KARHUNEN-LOÈVE BASIS IN GOODNESS-OF-FIT TESTS DECOMPOSITION: AN EVALUATION [PDF]

open access: yes
In a previous paper (Grané and Fortiana 2006) we studied a flexible class of goodness-of-fit tests associated with an orthogonal sequence, the Karhunen-Loève decomposition of a stochastic process derived from the null hypothesis.
Aurea Grane, Josep Fortiana
core  

Deciphering Anti‐Cancer Drug Efficacy Through Nanomechanical Vibrations in Living Gastric Cancer Organoids

open access: yesAdvanced Science, EarlyView.
This study developed an efficacy assessment platform that integrates patient‐derived gastric cancer organoids, atomic force microscopy (AFM)‐based nanomechanical vibration detection, deep learning analysis, and organoid mechanical modeling. It detects picomolar drug effects within 0.1 s signal, achieves 97% classification accuracy, and offers non ...
Ting Zhang   +10 more
wiley   +1 more source

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