Results 111 to 120 of about 538,196 (286)
This study presents a dynamic interaction between liquid resins and photopolymerized structures enabled by an in situ light‐writing setup. By controlling a three‐phase interface through localized photopolymerization, which provides physical confinement for the remaining uncured resin regions, the approach establishes a programmable pathway that ...
Kibeom Kim +3 more
wiley +1 more source
Beyond the Edge: Charge‐Transfer Excitons in Organic Donor‐Acceptor Cocrystals
Complex excitonic landscapes in acene–perfluoroacene cocrystals are unveiled by polarization‐resolved optical spectroscopy and many‐body theory. This systematic study of a prototypical model system for weakly interacting donor–acceptor compounds challenges common views of charge‐transfer excitons, providing a refined conceptual framework for ...
Sebastian Anhäuser +6 more
wiley +1 more source
Radial basis function network learns ceramic processing and predicts related strength and density [PDF]
Radial basis function (RBF) neural networks were trained using the data from 273 Si3N4 modulus of rupture (MOR) bars which were tested at room temperature and 135 MOR bars which were tested at 1370 C.
Baaklini, George Y. +3 more
core +1 more source
Design of multiple function antenna array using radial basis function neural network
A novel approach to design Multiple Function Antenna (MFA) arrays using Artificial Neural Networks is suggested. A planar array with uniform current excitations which can generate different beam widths and gains is designed using Artificial Neural ...
B Rama Sanjeeva Reddy +2 more
doaj +1 more source
Two isomorphic COFs were synthesized and compared, including an amphoteric COF (SQ‐TAPT) and a neutral COF (PDA‐TAPT). The ionic bonds in SQ‐TAPT introduce more Born effective charges, thereby enhancing its ionic displacement polarization. Experimental and theoretical calculations demonstrated that SQ‐TAPT exhibited higher polarity and stronger ...
Ge Yan +12 more
wiley +1 more source
Mathematical Modeling on a Physics-Informed Radial Basis Function Network
The article is devoted to approximate methods for solving differential equations. An approach based on neural networks with radial basis functions is presented. Neural network training algorithms adapted to radial basis function networks are proposed, in
Dmitry Stenkin, Vladimir Gorbachenko
doaj +1 more source
Retracted: Rehabilitation Educational Design for Children with Autism Based on the Radial Basis Function Neural Network. [PDF]
Healthcare Engineering JO.
europepmc +1 more source
A Complexation‐Mediated Diffusion‐Limited Growth (CMDLG) framework is established to rationalize the anisotropic growth of lead‐free perovskites. Integrating coordination chemistry with mass transport kinetics, this study theoretically derives and experimentally validates that stable iodocuprate complexes induce a diffusion‐limited regime.
Hyunmin Lee +5 more
wiley +1 more source
Triblock Polymer Engineering Enables Hydration‐Rich, High‐Performance, Fouling‐Resistant Interfaces
A molecularly engineered triblock polymer (PHZ) rapidly reorganizes into a hydration‐rich interfacial layer on diverse surfaces, strongly suppressing hydrophobic attraction and fouling. The triblock polymer provides robust energy and steric barriers to oily foulants, enabling high‐performance antifouling at ultralow dosage.
Chenyu Qiao +6 more
wiley +1 more source
Since meshless reproducing kernel particle method (RKPM) is easily affected by different kernel functions in numerical accuracy and stability, the Hermit-type function is introduced to the construction of trial function on boundary nodes.
Jichao Ma, Xin Tai
doaj +1 more source

