Results 101 to 110 of about 3,168 (172)
Stability and Inference of the Euler Characteristic Transform. [PDF]
Marsh L, Beers D.
europepmc +1 more source
A biotin‐modified artificial insertion peptide functionalized three‐dimensional high‐curvature‐TiO2 nano‐interface was engineered in a microfluidic chip to improve the isolation efficiency of small extracellular vesicles (sEVs). This chip balanced affinity, releasability, and extendibility, enabling high‐throughput recovery of sEVs for downstream ...
Le Wang +7 more
wiley +1 more source
Persistent Homology Classifies Parameter Dependence of Patterns in Turing Systems. [PDF]
Spector R, Harrington HA, Gaffney EA.
europepmc +1 more source
Schematic showing a stretchable triboelectric nanogenerator based on interlocked wavy architectures that uses EGaIn microflower‐embedded PVDF‐TrFE and Nylon‐6 nanofiber membranes. The multi‐petaled, electron‐rich EGaIn microflowers enhance interfacial polarization and capacitance, while the interlocked wavy architecture enlarges the effective contact ...
Qianqian Xu +12 more
wiley +1 more source
Area Law for the Entanglement Entropy of Free Fermions in Nonrandom Ergodic Field. [PDF]
Pastur L, Shamis M.
europepmc +1 more source
Comparative genomics of Gondwana‐diverged Pila and Pomacea reveals parallel evolution of aerial oviposition. Convergent chromosomal rearrangements reshape regulatory landscapes within topologically associating domains. Lineage‐specific gene family expansions and viral‐derived perivitelline proteins (PV1) underpin desiccation resistance.
Yufei Zhou +10 more
wiley +1 more source
Existence of variational solutions to doubly nonlinear systems in nondecreasing domains. [PDF]
Schätzler L +3 more
europepmc +1 more source
Physics‐Embedded Neural Network: A Novel Approach to Design Polymeric Materials
Traditional black‐box models for polymer mechanics rely solely on data and lack physical interpretability. This work presents a physics‐embedded neural network (PENN) that integrates constitutive equations into machine learning. The approach ensures reliable stress predictions, provides interpretable parameters, and enables performance‐driven, inverse ...
Siqi Zhan +8 more
wiley +1 more source
Sustainable Materials Design With Multi‐Modal Artificial Intelligence
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu +8 more
wiley +1 more source
Inverse design and 3D printing of a multiport microwave power splitter: a scalable electromagnetic design framework. [PDF]
Zolfaghary Pour S +3 more
europepmc +1 more source

