Results 111 to 120 of about 298,891 (271)

Pricing and Inference with Mixtures of Conditionally Normal Processes. [PDF]

open access: yes
We consider the problems of derivative pricing and inference when the stochastic discount factor has an exponential-affine form and the geometric return of the underlying asset has a dynamics characterized by a mixture of conditionally Normal processes ...
Bertholon, H., Monfort, A., Pegoraro, F.
core  

Accelerated Discovery of High Performance Ni3S4/Ni3Mo HER Catalysts via Bayesian Optimization

open access: yesAdvanced Functional Materials, EarlyView.
Integrated workflow accelerates the catalyst discovery of hydrogen evolution reaction via Bayesian optimization. An experiment‐trained surrogate model proposes synthesis conditions, guiding iterative refinement using electrochemical performance metrics.
Namuersaihan Namuersaihan   +9 more
wiley   +1 more source

Dual‐Site Ru Single‐Atoms and RuP Nanoclusters on N, P, and B Co‐Doped Porous Carbon for Efficient Alkaline HER and AEM Water Electrolysis

open access: yesAdvanced Functional Materials, EarlyView.
Ru single atoms and RuP nanoclusters are co‐anchored in N, P, and B co‐doped porous carbon nanospheres via in situ carbonization/phosphidation of a boronate polymer precursor. RuP activates water, while nearby Ru single atoms accelerate H2 formation through H* transfer. The catalyst delivers low overpotential and high durability in alkaline HER and AEM
Xiaohong Wang   +13 more
wiley   +1 more source

Federated Gaussian Mixture Models

open access: yes
This paper introduces FedGenGMM, a novel one-shot federated learning approach for Gaussian Mixture Models (GMM) tailored for unsupervised learning scenarios. In federated learning (FL), where multiple decentralized clients collaboratively train models without sharing raw data, significant challenges include statistical heterogeneity, high communication
Pettersson, Sophia Zhang   +2 more
openaire   +2 more sources

Breathable Graphene Oxide‐Polymer Composite Membranes With Two‐Step Barrier Mechanism Against Nerve Agents

open access: yesAdvanced Functional Materials, EarlyView.
ABSTRACT Breathable membranes that reject chemical warfare agents (CWAs) are required for next‐generation protective apparel. A dual‐function graphene oxide (GO)‐polyamine architecture is introduced that addresses the long‐standing tradeoff between vapor transmission and CWA selectivity.
Hyungjun Kim   +6 more
wiley   +1 more source

Electro‐Chemo‐Mechanical Coupling in Hf0.5Zr0.5O2 Ferroionic Heterostructures

open access: yesAdvanced Functional Materials, EarlyView.
Schematic of a ferroionic HZO heterostructure where epitaxial interfaces enable dynamic oxygen‐vacancy exchange, coupling ionic and ferroelectric degrees of freedom. Vacancy‐mediated polarization modulation biases HZO polymorphism, suppresses leakage, and enhances piezoelectric response, yielding distinct butterfly‐loop evolution and diode‐like ...
Achilles Bergne   +17 more
wiley   +1 more source

Urban Mobility Modeling: Application to Seoul Bike-Sharing Data

open access: yesEngineering Proceedings
This study applies a model from the normal variance–mean mixture family to capture daily demand in urban bike sharing. We fit both a mixture-based model and a standard Gaussian model to the logarithmic returns of total daily rental counts from the Seoul ...
Farouk Mselmi   +2 more
doaj   +1 more source

Beyond the Edge: Charge‐Transfer Excitons in Organic Donor‐Acceptor Cocrystals

open access: yesAdvanced Functional Materials, EarlyView.
Complex excitonic landscapes in acene–perfluoroacene cocrystals are unveiled by polarization‐resolved optical spectroscopy and many‐body theory. This systematic study of a prototypical model system for weakly interacting donor–acceptor compounds challenges common views of charge‐transfer excitons, providing a refined conceptual framework for ...
Sebastian Anhäuser   +6 more
wiley   +1 more source

A Probabilistic Multimedia Retrieval Model and Its Evaluation

open access: yesEURASIP Journal on Advances in Signal Processing, 2003
We present a probabilistic model for the retrieval of multimodal documents. The model is based on Bayesian decision theory and combines models for text-based search with models for visual search.
de Jong Franciska   +4 more
doaj   +1 more source

Home - About - Disclaimer - Privacy