Results 201 to 210 of about 1,924,298 (375)
Existence and uniqueness of solution of free boundary problems with partially degenerate diffusion [PDF]
Siyu Liu, Mingxin Wang
openalex +1 more source
Three‐dimensional Antimony Sulfide Based Flat Optics
This work presents the development of a grayscale electron beam lithography (g‐EBL) method for fabricating antimony trisulfide (Sb2S3) nanostructures with customizable 3D profiles. The refractive index of g‐EBL patterned Sb2S3 is determined based on the synergy of genetic algorithm and transfer matrix method.
Wei Wang +18 more
wiley +1 more source
Singular elliptic and parabolic problems and a class of free boundary problems [PDF]
Patrick Guidotti
openalex +1 more source
Single Solid‐State Ion Channels as Potentiometric Nanosensors
Single gold nanopores functionalized with mixed self‐assembled monolayers act as solid‐state ion channels for direct, selective potentiometric sensing of inorganic ions (Ag⁺). The design overcomes key miniaturization barriers of conventional ion‐selective electrodes by combining low resistivity with suppressed loss of active components, enabling robust
Gergely T. Solymosi +4 more
wiley +1 more source
A Tracer Diffusion Study of Diverse Photo‐Ionic Phenomena in Strontium Titanate
Two strong interfacial photo‐ionic effects are demonstrated for the model system SrTiO3 through the application of isotope exchange experiments: UV illumination is found to enhance the oxygen surface exchange coefficient by several orders of magnitude and to depress the surface space‐charge potential substantially.
David M. Schwenkel +3 more
wiley +1 more source
A fast, accurate and oscillation-free spectral collocation solver for high-dimensional transport problems. [PDF]
Cavallini N +3 more
europepmc +1 more source
Integrative Approaches for DNA Sequence‐Controlled Functional Materials
DNA is emerging as a programmable building block for functional materials with applications in biomimicry, biochemical, and mechanical information processing. The integration of simulations, experiments, and machine learning is explored as a means to bridge DNA sequences with macroscopic material properties, highlighting current advances and providing ...
Aaron Gadzekpo +4 more
wiley +1 more source
This review highlights how machine learning (ML) algorithms are employed to enhance sensor performance, focusing on gas and physical sensors such as haptic and strain devices. By addressing current bottlenecks and enabling simultaneous improvement of multiple metrics, these approaches pave the way toward next‐generation, real‐world sensor applications.
Kichul Lee +17 more
wiley +1 more source

