Results 171 to 180 of about 122,127 (267)

A Review of the Integration of Artificial Intelligence in Cardiac Electrophysiology. [PDF]

J Clin Med
Gerlt D, Chaudhary R, Olafiranye O.
europepmc   +1 more source

Tracking Battery Microstructural Degradation Through Directional Thermal Transport Signatures

Advanced Functional Materials, EarlyView.
In lithium‐ion batteries, heat conduction varies between the through‐plane and in‐plane directions because of the cell's layered structure. Therefore, cell degradation influences thermal conductivity in each direction uniquely due to detailed microstructural and compositional changes.
Mohammad Shoghi Tekmedash, Rituparna Mohanty, Jack Leber, David Nageb, Mirella Richard, Sharan Singh, Amin Reihani   +6 more
wiley   +1 more source

Artificial intelligence in pediatric diabetes: clinical benefits, developmental risks, and ethical challenges. [PDF]

Eur J Pediatr
Khalil H, Lynch JL, Sowan A, Ortega A, Zaitoon H.   +4 more
europepmc   +1 more source

Autonomous Multi‐Objective Nanoscale Characterization of Combinatorial (Al, Sc, B)N Films Reveals Composition‐Dependent Ferroelectric Regimes

Advanced Functional Materials, EarlyView.
Autonomous scanning probe microscopy and multi‐objective Bayesian optimization navigate a ternary (Al,Sc,B)N combinatorial library. Registered photoluminescence, electron‐probe compositional mapping, and X‐ray diffraction connect local electromechanical function to defect‐sensitive emission, composition, and crystal structure.
Yu Liu, Aditya Raghavan, Utkarsh Pratiush, Ian Mercer, Pochun Hsieh, Albert Suceava, Chih‐Yu Lee, Edgar Dimitrov, Mauricio Terrones, Ichiro Takeuchi, Venkatraman Gopalan, Jon‐Paul Maria, Sergei V. Kalinin   +12 more
wiley   +1 more source

Machine learning prediction model for the sewing thread consumption. [PDF]

PLoS One
Ahmad F, Qureshi SM, Younas A, Ramzan MB, Fareed G.   +4 more
europepmc   +1 more source

Optimizing NiMo Electrocatalyst Coatings for Hydrogen Evolution in Alkaline Electrolysis With The Machine Learning‐Guided Autonomous Platform CatBot

Advanced Functional Materials, EarlyView.
This work presents a closed‐loop optimization workflow integrating CatBot, an automated synthesis and testing system, to discover NiMo hydrogen‐evolution catalysts. CatBot synthesised and evaluated 228 unique samples, identifying the best performing catalysts for transfer to nickel‐foam electrodes. The best candidate is highly active, reaching 1 Acm−2${
Paolo Vincenzo Freiesleben de Blasio, Jonas Elsborg, Elif Coşkun, Andreas Burger, Pradipkumar Manubhai Leuaa, Thu Pham Anh Phan, Jin Hyun Chang, Christodoulos Chatzichristodoulou   +7 more
wiley   +1 more source

The Predictive Paradigm in Perioperative Hemodynamic Management: The Role of Artificial Intelligence in Major Spine Surgery. [PDF]

J Clin Med
Cosenza G, Fiore M, Giurazza R, Pota V, Coppolino F, Sansone P, Pace MC.   +6 more
europepmc   +1 more source

Accelerated Discovery of Topological Spin Phase Diagrams in CrSBr Magnets Via High‐Throughput Optimization

Advanced Functional Materials, EarlyView.
Here, we develop a high‐throughput algorithm that accelerates the elucidation of phase diagrams of topological spin textures using limited computational resources at high numerical accuracy. Applying this framework to the van der Waals magnet CrSBr, we unveiled a hierarchy of previously unknown topological textures (domain‐wall bimerons, bimeron chains,
Andrew Lyall, Mohammad H. Badarneh, Cristian Bonato, Rebecca Cheung, Elton J. G. Santos   +4 more
wiley   +1 more source

Self-Fitting Versus Professional-Fitting Hearing Aids: A Systematic Review and Meta-Analysis of Randomized Controlled Trials. [PDF]

Audiol Res
Albazee E, Alismail H, Albannai N, Alenezi YY, Alharran AM, Ibrahim MYH, Aljishi DA, Abu-Zaid A.   +7 more
europepmc   +1 more source

Full‐Field Damage Monitoring in Architected Lattices Using In situ Electrical Impedance Tomography

Advanced Functional Materials, EarlyView.
In situ electrical impedance tomography (EIT) turns 3D‐printed, CNT‐infused architected lattices into full‐field damage‐imaging systems. Tunable Voronoi‐based geometries act as active sensing architectures, enabling conductivity maps to detect early‐stage damage and localise sequential ligament fracture before catastrophic failure.
Akash Deep, Andrea Samore, Alistair McEwan, Andrew McBride, Shanmugam Kumar   +4 more
wiley   +1 more source