Results 51 to 60 of about 325 (212)
The appearance of Banach's book [8] in 1932 signified the beginning of a syste matic study of normed linear spaces, which have been the subject of continuous research ever since.
Tzafriri, Lior, Lindenstrauss, Joram
core
Interpretable machine learning reveals how composition and processing govern the formation and microstructural burden of Fe‐rich intermetallic compounds in recycled Al–Si–Fe–Mn alloys. By separating morphology selection from morphology‐conditioned burden partitioning, this framework shows that identical Fe contents can yield different intermetallic ...
Jaemin Wang +2 more
wiley +1 more source
Physics‐Informed Neural Network‐Enabled Forward Prediction and Inverse Design of Ring Origami
This work presents a KRT‐PINN framework that integrates Kirchhoff rod theory with physics‐informed neural networks for the forward prediction and inverse design of ring origami consisting of closed‐loop rods. The framework predicts stable states of segmented rings with prescribed natural‐curvature profiles and determines the natural‐curvature profiles ...
Luyuan Ning +3 more
wiley +1 more source
A DLN dataset was built to analyze MABS composition versus in vitro/in vivo osteogenesis and angiogenesis. An MLP neural network, taking BG morphological parameters as input, extracts bioactive features from these datasets. A rabbit tibial defect model then validates 4D‐printed MABS for adaptability and bone regeneration in critical defects.
Xiongjie Liang +12 more
wiley +1 more source
This work visualizes local variations in luminescence and relates them to nanoscale chemical inhomogeneities in single InxGa1−xN quantum wells. We demonstrate that the elemental segregation is only inherent to quantum wells with high indium content. Density functional theory shows this to be the result of strain‐induced phase stabilization, explaining ...
Jing‐Yang Chung +12 more
wiley +1 more source
Phase‐Dependent Oxygen Defect Energetics in Epitaxial NbN/AlN/NbN Films
Phase dependent oxygen defect energetics in epitaxial δ‐NbN/AlN/δ‐NbN and β‐Nb2N/AlN/β‐Nb2N trilayers. Atomic‐scale analysis and first‐principles calculations reveal distinct oxygen incorporation pathways across NbN polymorphs. Layer resolved defect formation energies show that O is energetically more favorable within δ‐NbN electrodes, whereas in β ...
Prachi Garg +10 more
wiley +1 more source
MolDBG is a site‐aware, sequence‐only framework that unifies drug‐target affinity prediction, binding‐site identification, and affinity‐conditioned molecular generation for structured proteins. Guided by multi‐task binding‐site supervision, it aligns interaction‐critical residues before learning drug‐target representations and simultaneously infers ...
Gang Luo +6 more
wiley +1 more source
Switching Spike Plasticity Shapes ACE2 Engagement Across SARS‐CoV‐2 Variants
Conformational plasticity governs SARS‐CoV‐2 spike function and ACE2 recognition. Using high‐speed AFM and single‐molecule force spectroscopy, we analyzed the ancestral spike and nine variants, revealing progressive rigidification from Delta, variable plasticity in Omicron sublineages, and JN.1 compaction.
Sarah Stainer +17 more
wiley +1 more source
Ni‐intercalated graphene on SiC is achieved through a scalable colloidal nanoparticle deposition route. 2D heterostructures show preserved graphene band structure, stable under ambient conditions, and robust interfacial magnetism. Intercalated 2D Ni represents a promising candidate for next‐generation spintronic devices and is a scalable pathway to ...
Ylea Vlamidis +7 more
wiley +1 more source
MethyAnno enables robust and interpretable annotation of single‐cell DNA methylation data by integrating multi‐scale epigenetic information, bidirectional cross‐attention, and prototype‐based metric learning. The framework resolves rare and novel cell types across datasets while revealing cell‐type‐specific epigenetic signatures associated with disease
Yuhang Jia +4 more
wiley +1 more source

