Results 241 to 250 of about 169,110 (303)

PRELIVE: A Framework for Predicting Lipid Nanoparticles In Vivo Efficacy and Reducing Reliance on Animal Testing

Advanced Functional Materials, EarlyView.
PREdicting LNP In Vivo Efficacy (PRELIVE) framework enables the prediction of lipid nanoparticle (LNPs) organ‐specific delivery through dual modeling approaches. Composition‐based models using formulation parameters and protein corona‐based models using biological fingerprints both achieve high predictive accuracy across multiple organs.
Belal I. Hanafy, Chuan‐En Lu, Kai Liu, Audrey Gallud   +3 more
wiley   +1 more source

A comparative framework for convergence analysis of perturbation series techniques in nonlinear fractional quadratic differential equations. [PDF]

PLoS One
Hashim DJ.
europepmc   +1 more source

Modulating Interfacial Potential Gradients in Metal−Carbon Catalysts via Phase‐Engineering for Lithium–Sulfur Batteries

Advanced Functional Materials, EarlyView.
It is elucidated that phase engineering of cobalt modulates the interfacial potential gradients of cobalt–carbon electrocatalysts, enhancing the intrinsic electrocatalytic performance. Modulating the dominant crystalline phase of cobalt from a hexagonal close‐packed to a face‐centered cubic enriches the electron density of carbon shells, thereby ...
Ji‐Oh Kim, Hengquan Guo, Seonghee Kim, Jae Bin Park, Seongwook Chae, Taekyun Kwon, Seungjo Hong, Byeong Jin Kim, Guadalupe Arturo De la Garza Gonzalez, Minjoon Park, Jae Ho Kim, Oi Lun Li, Seung Geol Lee, Jin Hong Lee   +13 more
wiley   +1 more source

A note on the complete convergence for arrays of dependent random variables

, 2011
Sung Soo Hak
openalex   +1 more source

Universal Electronic‐Structure Relationship Governing Intrinsic Magnetic Properties in Permanent Magnets

Advanced Functional Materials, EarlyView.
Permanent magnets derive their extraordinary strength from deep, universal electronic‐structure principles that control magnetization, anisotropy, and intrinsic performance. This work uncovers those governing rules, examines modern modeling and AI‐driven discovery methods, identifies critical bottlenecks, and reveals electronic fingerprints shared ...
Prashant Singh
wiley   +1 more source

Enhanced PID controller tuning for nonlinear continuous stirred-tank heaters using a modified Newton-Raphson optimizer with random opposition and Lévy-flight learning. [PDF]

Sci Rep
Rizk-Allah RM, Ekinci S, Jabari M, Izci D, Bajaj M, Blazek V, Rubanenko O.   +6 more
europepmc   +1 more source

Micro and Nanostructural Diversity of Lizard Osteoderm Capping Tissue in Relation to Mechanical Performance

Advanced Functional Materials, EarlyView.
This study shows that lizard osteoderm capping tissue is a hyper‐mineralized hydroxyapatite layer consistently covering the superficial osteoderm surface in those species studied here, yet it varies greatly in morphology, nanostructure, and mechanical performance across species.
Adrian Rodriguez‐Palomo, Marius Didziokas, Malene Siri Berg Jacobsen, Thorbjørn Erik Køppen Christensen, Innokenty Kantor, Mads Ry Vogel Jørgensen, Klaus Pagh Almtoft, Jesper Skovhus Thomsen, Anthony Herrel, Catherine J.A. Williams, Henrik Birkedal   +10 more
wiley   +1 more source

Ultimate Intrinsic SNR in the Torso of Realistic Body Models. [PDF]

Magn Reson Med
Wang Y, May MW, Gratz M, Ladd ME, Orzada S.   +4 more
europepmc   +1 more source

Conductive Bonding and System Architectures for High‐Performance Flexible Electronics

Advanced Functional Materials, EarlyView.
This review outlines bonding technologies and structural design strategies that support high‐performance flexible and stretchable electronics. Bonding approaches such as surface‐activated bonding and anisotropic conductive films, together with system‐level architectures including buffer layers and island‐bridge structures, possess distinct mechanical ...
Kazuma Nakajima, Kenjiro Fukuda
wiley   +1 more source

A proposed reinforcement learning approach via discrete control reformulation and multi-step double DQN for adaptive cruise control in electric vehicles. [PDF]

Sci Rep
Meghawer A, El-Shaer Y, El-Sebah MIA, El-Khatib MF.   +3 more
europepmc   +1 more source