Results 141 to 150 of about 112,069 (297)

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

Advanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore, Cristiano Pesce, Antonietta Greco, Claudia Pisante, Greta Avancini, Valentina Di Francesco, Yosi Shamay, Paolo Decuzzi   +7 more
wiley   +1 more source

Forecast performance of implied volatility and the impact of the volatility risk premium [PDF]

Forecasting volatility has received a great deal of research attention, with the relative performance of econometric models based on time-series data and option implied volatility forecasts often being considered.
Adam Clements, Christopher Coleman-Fenn, Ralf Becker   +2 more
core  

Phase Change Material‐Driven Tunable Metasurface for Adaptive Terahertz Sensing and Communication in 6G Perceptive Networks

Advanced Functional Materials, EarlyView.
This study explores the benefits of metasurfaces made from functional materials, highlighting their ability to be adapted and improved for various high‐frequency applications, including communications and sensing. It first demonstrates the potential of these functional material‐based metasurfaces to advance the field of sub‐THz perceptive networks ...
Yat‐Sing To, Jiachen Du, Cyril Decroze, Laure Huitema, Aurelian Crunteanu, Hang Wong   +5 more
wiley   +1 more source

Coupled Ferroelectric–Photoelectrochemical in Water Reduction Over BiFeO3 Thin Film Heterostructure Modulated by Rare‐Earth Doping

Advanced Functional Materials, EarlyView.
Gd‐doped BFO (BGFO) exhibits a ∼2‐order reduction in leakage current owing to its lowest content of oxygen vacancies. This leads to a ∼2.5‐fold increase in remnant polarization. These improvements in BGFO effectively boost charge separation and transportation, resulting in the greatest incident photon‐to‐current efficiency of 12.9 ± 0.73% and a ∼1.5 ...
Ming‐Wei Chu, Narong Chanlek, Cheng‐Sao Chen, Pin‐Yi Chen, Kuei‐Chih Feng, Chi‐Shun Tu, Chang Fu Dee, Wei Sea Chang   +7 more
wiley   +1 more source

A Scalable, Durable, Fire‐Safe All‐Day Passive Radiative Cooling Coating for Sustainable Buildings

Advanced Functional Materials, EarlyView.
This study reports a scalable, durable coating that combines a fire‑retardant copolymer adhesive, hollow glass microspheres, and boron oxide to achieve passive radiative cooling with over 94% solar reflectance and >95% mid‑infrared emissivity. The coating maintains performance after UV and rain exposure and exhibits UL‑94 V‑0 fire resistance, enabling ...
Zhewen Ma, Yuanhao Feng, Alex Y. Song, Toan Dinh, Min Hong, John Bell, Boyou Hou, Pingan Song, Wei Zheng   +8 more
wiley   +1 more source

Implied volatility of foreign exchange options: is it worth tracking? [PDF]

Market analysts and central banks often use the implied volatility of FX options as an indicator of expected exchange rate uncertainty. The aim of our study is to investigate the limits of this statistic.
Klára Pintér, Áron Gereben
core  

Implied Volatility and Risk Preference From Option Prices.

, 1991
Kenneth S. Bartunek
openalex   +2 more sources

A Hull and White Formula for a General Stochastic Volatility Jump‐Diffusion Model with Applications to the Study of the Short‐Time Behavior of the Implied Volatility [PDF]

, 2008
Elisa Alòs, Jorge A. León, Monique Pontier, Josep Vives   +3 more
openalex   +1 more source

Practical Guide to the Design of Granular Hydrogels for Customizing Complex Cellular Microenvironments

Advanced Healthcare Materials, EarlyView.
Granular hydrogels are emerging microporous platforms for cell culture and delivery, showing great potential for replicating the complex, heterogeneous environments found in natural tissues. This review outlines the design principles of granular hydrogels, highlighting critical factors that determine the final physicochemical properties of the entire ...
Shuhan Feng, Kaiyang Chen, Shiqi Wang
wiley   +1 more source

Evolution of Market Uncertainty around Earnings Announcements [PDF]

This paper investigates theoretically and empirically the dynamics of the implied volatility (or implied standard deviation - ISD) around earnings announcements dates.
Christophe Pérignon, Dušan Isakov
core