Results 91 to 100 of about 1,536,761 (277)

Advanced Manufacturing of Composite‐Based Systems for Energy Applications

Advanced Materials Technologies, EarlyView.
Advanced manufacturing enables the integration of polymers, ceramics, metal oxides, and composites into architected microstructures with tailored transport pathways. By coupling material selection, manufacturing strategy, and structural design, multifunctional energy systems can simultaneously improve electrochemical performance, thermal management ...
Sri Vaishnavi Thummalapalli, Dhanush Patil, Libin Yang, M. Taylor Sobczak, Anshul Kulkarni, Xiao Sun, Arunachalam Ramanathan, Tiantian Li, Ramaraja P. Ramasamy, Jason J. Locklin, Yanyu Chen, Xianqiao Wang, Arunachala Mada Kannan, Kenan Song   +13 more
wiley   +1 more source

Generating Functions for New Families of Combinatorial Numbers and Polynomials: Approach to Poisson–Charlier Polynomials and Probability Distribution Function

Axioms, 2019
The aim of this paper is to construct generating functions for new families of combinatorial numbers and polynomials. By using these generating functions with their functional and differential equations, we not only investigate properties of these new ...
Irem Kucukoglu, Burcin Simsek, Yilmaz Simsek   +2 more
doaj   +1 more source

Photoluminescence Reshaping via Structural Confinement and Local Density of Optical States Control in Ir(III)‐Doped Biodegradable Metasurfaces

Advanced Materials Technologies, EarlyView.
Phosphorescent biodegradable metasurface showing vibronic selection and spectral photoluminescence narrowing. Anti‐correlation between experimental LDOS and measured lifetimes. ABSTRACT Metasurfaces incorporating phosphorescent emitters offer a route to engineer radiative and vibronic processes beyond chemical design.
Vincenzo Caligiuri, Andrea Smeriglio, Svetlana Siprova, Olga Favale, Francesca Leone, Roberto Termine, Debora Policastro, Alessandra Crispini, Attilio Golemme, Nicolas Godbert, Iolinda Aiello, Antonio De Luca   +11 more
wiley   +1 more source

Toward Perception‐Native Electronic Skin: Bio‐Inspired In‐/Near‐Sensor and Neuromorphic Computing for Humanoid Robots

Advanced Materials Technologies, EarlyView.
Dense tactile streams from across the humanoid body converge on collide in a central wiring and data bottleneck. By relocating computation closer to and then into the skin itself, near‐ and in‐sensor architectures, together with neuromorphic computing, chart a path toward perception‐native electronic skin, in which the conversion of stimulus into ...
Mijin Kim, Chang‐Jae Beak, Jiyoung Park, Youngdo Jung, Sunjong Oh, Sin‐Hyung Lee, Bo‐Yeon Lee   +6 more
wiley   +1 more source

Integral characterizations of uniform h-dichotomy in mean for discrete-time stochastic skew-evolution semiflows

Miskolc Mathematical Notes
The paper provides integral characterizations for the concept of uniform dichotomy in the mean with growth rates for discrete-time stochastic skew-evolution semiflows in Banach spaces.
Tímea Melinda Személy Fülöp
doaj   +1 more source

Pairs of Function Spaces and Exponential Dichotomy on the Real Line

Advances in Difference Equations, 2010
We provide a complete diagram of the relation between the admissibility of pairs of Banach function spaces and the exponential dichotomy of evolution families on the real line. We prove that if W∈ℋ(ℝ) and V∈𝒯(ℝ)
Adina Luminiţa Sasu
doaj   +1 more source

Using Geometry to Select One Dimensional Exponential Families That Are Monotone Likelihood Ratio in the Sample Space, Are Weakly Unimodal and Can Be Parametrized by a Measure of Central Tendency

Entropy, 2014
One dimensional exponential families on finite sample spaces are studied using the geometry of the simplex Δn°-1  and that of a transformation Vn-1 of its interior.
Paul Vos, Karim Anaya-Izquierdo
doaj   +1 more source

Multimodal exponential families of circular distributions with application to daily peak hours of PM2.5 level in a large city. [PDF]

J Appl Stat, 2021
Kim S, SenGupta A.
europepmc   +1 more source

Harmonic Exponential Families on Manifolds

JMLR Workshop and Conference Proceedings, 2015
In a range of fields including the geosciences, molecular biology, robotics and computer vision, one encounters problems that involve random variables on manifolds. Currently, there is a lack of flexible probabilistic models on manifolds that are fast and easy to train.
Cohen, T.S., Welling, M.
openaire   +4 more sources

Bright‐Dark Exciton Splitting in Lead Iodide Perovskite Crystals Accessed via Quantum Beats in Photon Echoes

Advanced Optical Materials, EarlyView.
Understanding exciton fine structure is crucial for optoelectronic and quantum photonic applications of lead halide perovskites. It is demonstrated that polarization‐sensitive photon‐echo spectroscopy in a magnetic field resolves exciton fine‐structure splittings hidden by inhomogeneous broadening, enabling direct determination of the bright‐dark ...
M. Alex Hollberg, Mikhail O. Nestoklon, Artur V. Trifonov, Stefan Grisard, Oleh Hordiichuk, Dmitry N. Dirin, Maksym V. Kovalenko, Dmitri R. Yakovlev, Manfred Bayer, Ilya A. Akimov   +9 more
wiley   +1 more source