Results 131 to 140 of about 1,175,505 (360)

Advanced Radial Basis Functions Mesh Morphing for High Fidelity Fluid-Structure Interaction with Known Movement of the Walls: Simulation of an Aortic Valve [PDF]

, 2020
Leonardo Geronzi, Emanuele Gasparotti, Katia Capellini, Ubaldo Cella, Corrado Groth, Stefano Porziani, Andrea Chiappa, Simona Celi, Marco Evangelos Biancolini   +8 more
openalex   +1 more source

Insight into the Internal Structure of Biogenic, Synthetic and Geological Apatite by Electron Microscopy and X‐Ray Scattering

Advanced Functional Materials, EarlyView.
Apatite occurs in many forms in nature, e.g. in teeth and geological minerals. Internally, biological apatite contains nanocrystals that are also found in synthetically prepared calcium phosphate nanoparticles which are used in biomedicine, e.g. for gene and drug delivery and for bone regeneration. Abstract Calcium phosphate is the inorganic component (
Kathrin Kostka, Oleg Prymak, Kateryna Loza, Matthias Epple   +3 more
wiley   +1 more source

Mathematical Modeling on a Physics-Informed Radial Basis Function Network

Mathematics
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

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., Cios, Krzysztof J., Tjia, Robert E., Vary, Alex   +3 more
core   +1 more source

Recognition of person’s character through the shape of signature using Radial Basis Function Neural Network (RBFNN) method

, 2020
Faisol Faisol, Ahmad, Halumatus Sakdiyah, Qurratul Aini, Kuzairi Kuzairi, Tony Yulianto   +5 more
openalex   +1 more source

A Solvent‐Free, Dry‐Processed Li‐Ion Battery Enabled by Dual Binders and Nanostructured Aluminum Current Collectors

Advanced Functional Materials, EarlyView.
A dual‐binder dry‐processed electrode (DB‐DPE) combining PTFE and PVDF with a nanostructured Al current collector (NSA) forms a mechanically interlocked interface that significantly improves adhesion and reduces interfacial resistance. With an active material content as high as 96 wt.%, the NSA‐based DB‐DPE enables high‐mass‐loading operation (12.5 mAh
Seok Yun Kim, Tae‐Kyung Liu, Hae Seong Kim, Dong Hwan Wang, Jong Hyeok Park   +4 more
wiley   +1 more source

Calculation of exact Shapley values for explaining support vector machine models using the radial basis function kernel. [PDF]

Sci Rep, 2023
Mastropietro A, Feldmann C, Bajorath J.
europepmc   +1 more source

Molecular Cross‐Linking of MXenes: Tunable Interfaces and Chemiresistive Sensing

Advanced Functional Materials, EarlyView.
In this study, Ti3C2Tx MXenes are initially functionalized using oleylamine ligands to form stable dispersions in an organic solvent. Subsequently ligand exchange with α,ω‐diaminoalkanes enables cross‐linking, along with precise tuning of interfaces. This structural control translates into tunable charge transport and responsive VOC sensing, showing ...
Yudhajit Bhattacharjee, Lukas Mielke, Mahmoud Al‐Hussein, Shivam Singh, Karen Schaefer, Borja Rodriguez‐Barea, Qiong Li, Anik Kumar Ghosh, Artur Erbe, Carmen Herrmann, Yana Vaynzof, Andreas Fery, Hendrik Schlicke   +12 more
wiley   +1 more source

Microplastics from Wearable Bioelectronic Devices: Sources, Risks, and Sustainable Solutions

Advanced Functional Materials, EarlyView.
Bioelectronic devices (e.g., e‐skins) heavily rely on polymers that at the end of their life cycle will generate microplastics. For research, a holistic approach to viewing the full impact of such devices cannot be overlooked. The potential for devices as sources for microplastics is raised, with mitigation strategies surrounding polysaccharide and ...
Conor S. Boland
wiley   +1 more source

The numerical analysis of viscoelastic problems in signal propagation using a novel meshless Hermit-type RRKPM

Results in Physics
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