Pressure‐Assisted Dimensional Transformation of 2D Hydrogenated Borophene into 0D Boron Quantum Dots
Advanced Functional Materials, EarlyView.Hydrogenated borophene (HB) is transformed into distinct boron nanostructures through a solvent‐free thermal process. Under flowing nitrogen, hydrogen escape promotes reconstruction into B2O3 nanoplatelets, whereas hydrogen‐induced pressure under sealed conditions facilitates fragmentation into boron quantum dots.
Ozden Gunes Yildiz +11 more
wiley +1 more source
High‐Efficiency Deep Blue Single‐Gaussian Europium(II) Emitters and Their Emitter‐Host Interactions
Advanced Functional Materials, EarlyView.Crown‐ether ligands and carborate anions enable vacuum‐processable Eu(II) emitters with efficient single‐Gaussian deep‐blue luminescence. Combined photophysical and computational analyses reveal that excited‐electron confinement and steric shielding of the europium center jointly govern compatibility with OLED host materials, establishing molecular ...
Mahmoud Soleimani +8 more
wiley +1 more source
Hybrid fuzzy inference rules of descent method and wavelet function for volatility forecasting. [PDF]
PLoS One, 2022 Alenezy AH +4 more
europepmc +1 more source
Estimating and Forecasting Asset Volatility and Its Volatility: A Markov-Switching Range Model [PDF]
This paper proposes a new model for modeling and forecasting the volatility of asset markets. We suggest to use the log range defined as the natural logarithm of the difference of the maximum and the minimum price observed for an asset within a certain ...
Jan Piplack
core
Advanced Functional Materials, EarlyView.Advanced ink systems for solution‐processed textile triboelectric nanogenerators are systematically summarized, spanning conductive, tribo‐negative, and tribo‐positive layers. By connecting ink chemistry, deposition methods, and device function, the present review reveals the key governing principles of solution development and highlights practical ...
Xinlong Sun, Stephen Beeby
wiley +1 more source
Versatile HAR model for realized volatility: A least square model averaging perspective
Journal of Management Science and Engineering, 2019 A rapidly growing body of literature has documented improvements in forecasting financial return volatility measurement using various heterogeneous autoregression (HAR) type models.
Yue Qiu +3 more
doaj +1 more source
Forecasting volatility: does continuous time do better than discrete time? [PDF]
In this paper we compare the forecast performance of continuous and discrete-time volatility models. In discrete time, we consider more than ten GARCH-type models and an asymmetric autoregressive stochastic volatility model.
Carles Bretó, Helena Veiga
core
Architecture‐Driven Functional Coupling in Vertically Aligned Nanocomposites
Advanced Functional Materials, EarlyView.Vertically aligned nanocomposites define a growth‐engineered architecture in which vertical interfaces, strain fields, defect pathways, and phase connectivity are created simultaneously. This review shows how these architectural features couple ferroic, optical, ionic, electrochemical, and device responses, establishing design rules and open challenges
Md Shatil Islam‐Shanto +4 more
wiley +1 more source
Sultan Qaboos University Journal for ScienceThis study examines key characteristics of stock market time series, such as regime shifts and non-linearity, which necessitate specialized methods for capturing market volatility. To improve volatility forecasting for the Muscat Securities Market Index (
Brahim Benaid +2 more
doaj +1 more source
Artificial Neural Network Based Non-linear Transformation of High-Frequency Returns for Volatility Forecasting. [PDF]
Front Artif Intell, 2021 Mücher C.
europepmc +1 more source