Results 211 to 220 of about 1,238,701 (263)
A deep neural network model for heat transfer in darcy-forchheimer hybrid nanofluid flow with activation energy. [PDF]
Ayman-Mursaleen M +4 more
europepmc +1 more source
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 +3 more
wiley +1 more source
Red-billed blue magpie optimization for training feedforward neural networks. [PDF]
Zhang J +5 more
europepmc +1 more source
Fluoroalkyl‐functionalized tin–oxo nanoclusters (N‐TOC6) enable robust pattern formation through ligand crosslinking under EUV exposure without thermal processing. Sn–F coordination mitigates the Lewis acidity of Sn centers, suppressing reactions with airborne molecules and improving post‐exposure pattern stability.
Yejin Ku +18 more
wiley +1 more source
Blind Equalization Based on Modified Third-Order Moment Algorithm for PAM-PPM Optical Signals in FSO Communication. [PDF]
Luo S, Li X.
europepmc +1 more source
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 +13 more
wiley +1 more source
EBBO: A Biomimetically Enhanced Optimization Algorithm with Multi-Stage Cooperation for Complex Engineering Applications. [PDF]
Zhu X, Cai H, Li S, Peng W.
europepmc +1 more source
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
Multiobjective starfish optimization algorithm for engineering design and optimal power flow problems. [PDF]
Jameel M +5 more
europepmc +1 more source
Asymmetric Contact Engineering for Bottleneck‐Free Transport in 2D MoS2 Field‐Effect Transistor
Performance of 2D semiconductor transistors is limited by carrier transport bottlenecks arising from specific device geometries. By identifying this structural limitation, a bottleneck‐free asymmetric transistor architecture (BATA) is introduced to improve carrier transport.
Jinhyeok Pyo +10 more
wiley +1 more source

