Results 141 to 150 of about 583,999 (299)

Beyond Passivation: Designing Structurally Tailored Artificial Interphases for High‐Energy Lithium‐Based Anodes

Advanced Materials Interfaces, EarlyView.
This review outlines critical engineering design rules for building artificial protective coatings on next‐generation lithium metal and silicon battery anodes. It highlights how balancing structural flexibility with strict electronic and ionic transport limits prevents early battery failure.
Surin Gupte, Vilas G. Pol
wiley   +1 more source

Assessing the Impact of Market Microstructure Noise and Random Jumps on the Relative Forecasting Performance of Option-Implied and Returns-Based Volatility [PDF]

This paper presents a comprehensive empirical evaluation of option-implied and returns-based forecasts of volatility, in which new developments related to the impact on measured volatility of market microstructure noise and random jumps are explicitly ...
Gael M. Martin, Andrew Reidy, Jill Wright   +2 more
core  

From the Discovery of the Giant Magnetocaloric Effect to the Development of High‐Power‐Density Systems

Advanced Materials Technologies, EarlyView.
The article overviews past and current efforts on caloric materials and systems, highlighting the contributions of Ames National Laboratory to the field. Solid‐state caloric heat pumping is an innovative method that can be implemented in a wide range of cooling and heating applications.
Agata Czernuszewicz, Yaroslav Mudryk, Jun Cui, Lucas Griffith, Duane D. Johnson, Julie Slaughter   +5 more
wiley   +1 more source

Comparison of intraday volatility forecasting models for polish equities

Quantitative Methods in Economics, 2012
Several competing intraday volatility forecasting models for equally spaced data have been proposed in the literature. This study reviews a number of models and compares their forecasting performance using data on the market index of the Warsaw Stock ...
Magdalena Sokalska
doaj  

Roughing it Up: Including Jump Components in the Measurement, Modeling and Forecasting of Return Volatility [PDF]

A rapidly growing literature has documented important improvements in financial return volatility measurement and forecasting via use of realized variation measures constructed from high-frequency returns coupled with simple modeling procedures. Building
Tim Bollerslev, Torben G. Andersen, Francis X. Diebold   +2 more
core  

Recent Advances of Slip Sensors for Smart Robotics

Advanced Materials Technologies, EarlyView.
This review summarizes recent progress in robotic slip sensors across mechanical, electrical, thermal, optical, magnetic, and acoustic mechanisms, offering a comprehensive reference for the selection of slip sensors in robotic applications. In addition, current challenges and emerging trends are identified to advance the development of robust, adaptive,
Xingyu Zhang, Liao Wu, Shuai He, Zhao Sha, Yuwan Huang, Shuying Wu, Dewei Chu, Chun H. Wang, Shuhua Peng   +8 more
wiley   +1 more source

Forecasting Volatility in Financial Markets Using a Bivariate Stochastic Volatility Model with Surprising Information [PDF]

Most asset returns exhibit high volatility and its persistence. Heuristically, this paper focuses on the role of surprising information in high volatility processes and indicates that dismissing surprising information may lead to considerable loss in ...
Beum-Jo Park
core  

Spatial Stiffness Programming in Single‐Filament Material Extrusion Through Data‐Driven Thermal Foaming

Advanced Materials Technologies, EarlyView.
Single‐filament material extrusion enables spatial stiffness programming through locally controlled thermal foaming of TPU. A data‐driven G‐code framework tunes porosity from 15.7% to 40.7% and hardness from 90 to 63 Shore A within and across layers. Monolithic hands and soft actuators consequently achieve distinct programmed motions without material ...
Rosanna Rifino, Gianni Stano, Mahdi Bodaghi, Gianluca Percoco   +3 more
wiley   +1 more source

Low‐Outgassing Liquid Metal–Silicone Composites for Multifunctional Space Applications

Advanced Materials Technologies, EarlyView.
Integrating liquid metal microdroplets into a space‐grade silicone creates a multifunctional composite while preserving its inherent flexibility and low‐outgassing behavior. The composite has 11×$\times$ higher thermal conductivity while remaining thermally stable and maintaining a total mass loss of ≤$\le$ 1% under thermal vacuum testing.
Spencer Pak, Matthew R. Jamison, Cadré J. Francis, Ravi Tutika, Stephen A. Morin, Eric J. Markvicka   +5 more
wiley   +1 more source

A Range-Based GARCH Model for Forecasting Volatility [PDF]

A new variant of the ARCH class of models for forecasting the conditional variance, to be called the Generalized AutoRegressive Conditional Heteroskedasticity Parkinson Range (GARCH-PARK-R) Model, is proposed.
Mapa, Dennis S.
core