Results 141 to 150 of about 1,222,454 (235)
MOCLIP: a foundation model for large-scale nanophotonic inverse design. [PDF]
Rodionov S +5 more
europepmc +1 more source
The novelty of the current study is that the unsteady MHD Cross nanofluid model is, for the first time, coupled with the melting heat transfer at the stagnation point over a horizontally extended cylinder in a Darcy–Forchheimer porous medium. This work connects complex rheological behaviors and phase‐change phenomena in a unique way, with the only ...
Fahad Maqbul Alamrani +6 more
wiley +1 more source
PlasmidRiskNet: An explainable machine-learning framework for antimicrobial resistance plasmid risk stratification. [PDF]
Agboola OE +9 more
europepmc +1 more source
Lead‐free halide perovskites for efficient light‐emitting devices
Overview of Lead‐free metal halide perovskites with different categories and optoelectronic application directions, including solid‐state lighting, light‐emitting diodes, piezoluminescence, flexible electronics, scintillators and CPL emitters. Abstract Lead halide perovskites exhibit promising optoelectronic properties for optoelectronic applications ...
Yueqi Shen +9 more
wiley +1 more source
Physics-Guided CNN Detection of Crack-Associated Events from Embedded Fiber Bragg Grating Sensors. [PDF]
Uğurveren Y +6 more
europepmc +1 more source
Beta Forecasting With Realized Beta Estimators and Machine Learning Algorithms
ABSTRACT This paper applies machine learning algorithms to the modeling of realized betas for the purposes of forecasting stock systematic risk. Higher levels of beta forecast accuracy are demonstrated, relative to other studies in the literature. These improvements are also highly significant, both statistically and economically.
Bao Doan +3 more
wiley +1 more source
Understanding Coupling in Hierarchically Doped Plasmonic Nanocrystal Metamaterials. [PDF]
Wilcoxson TA +5 more
europepmc +1 more source
ABSTRACT This paper develops Masked Asset–Regime Scenario Diffusion (MARS‐Diff), a leakage‐disciplined framework for probabilistic forecasting of multiday portfolio losses. The framework combines a regularized heterogeneous autoregressive model with exogenous predictors (HAR‐X) as its anchor, a train‐only masked representation of a high‐dimensional ...
Çağlar Sözen, Mervenur Sözen
wiley +1 more source
Adaptively coupled phase retrieval in multi-peak Bragg coherent diffraction imaging. [PDF]
Porter JN +12 more
europepmc +1 more source
Developing a Z‐ESG Score Model for Assessing Corporate ESG Performance
ABSTRACT In this study we develop a novel, unique ESG rating model that exploits the logic of the Z‐score by Altman (1968) to discriminate between ESG performing and non‐ESG performing firms using indicators of ESG performance for each of the three pillars (Environmental, Social, Governance) in place of financial ratios.
Edward I. Altman +3 more
wiley +1 more source

