Results 181 to 190 of about 6,127,131 (339)
Advanced Materials, EarlyView.This review highlights recent progress in piezoelectric materials for regenerative medicine, emphasizing their ability to convert mechanical stimuli into bioelectric signals that promote tissue repair. Key discussions cover the intrinsic piezoelectric properties of biological tissues, co‐stimulation cellular mechanisms for tissue regeneration, and ...
Xinyu Wang +3 more
wiley +1 more source
Inductive Synthesis of Recursive Functional Programs [PDF]
, 2007 Martin Hofmann +3 more
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Photonic Nanomaterials for Wearable Health Solutions
Advanced Materials, EarlyView.This review discusses the fundamentals and applications of photonic nanomaterials in wearable health technologies. It covers light‐matter interactions, synthesis, and functionalization strategies, device assembly, and sensing capabilities. Applications include skin patches and contact lenses for diagnostics and therapy. Future perspectives emphasize AI‐
Taewoong Park +3 more
wiley +1 more source
Discovering rules for protein-ligand specificity using support vector inductive logic programming [PDF]
, 2009 Lawrence A. Kelley +3 more
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Cubical Agda: A dependently typed programming language with univalence and higher inductive types [PDF]
, 2021 Andrea Vezzosi +2 more
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Advanced Materials, EarlyView.The work aims to explore the electrochemical performance and energy storage mechanism of nickel hexacyanoferrate (NiHCF) in ammonium ion batteries (AIBs). The effect of ligand field‐induced dual active sites has been revealed for the first time. Ni atoms of NiHCF display electrochemical activity in AIBs.
Mengmeng Zhou +8 more
wiley +1 more source
Prototyping structural description using an inductive learning program
, 2000 Adnan Amin
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Inductive equivalence in clausal logic and nonmonotonic logic programming [PDF]
, 2010 Chiaki Sakama, Katsumi Inoue
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Characterization and Inverse Design of Stochastic Mechanical Metamaterials Using Neural Operators
Advanced Materials, EarlyView.This study presents a DeepONet‐based machine learning framework for designing stochastic mechanical metamaterials with tailored nonlinear mechanical properties. By leveraging sparse but high‐quality experimental data from in situ micro‐mechanical tests, high predictive accuracy and enable efficient inverse design are achieved.
Hanxun Jin +7 more
wiley +1 more source
Inductive Logic Programming in an Agent System forOntological Relation Extraction [PDF]
, 2011 Mohan Seneviratne, D. N. Ranasinghe
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