Results 81 to 90 of about 67,239 (298)
Machine Learning‐Assisted Inverse Design of Soft and Multifunctional Hybrid Liquid Metal Composites
Advanced Functional Materials, EarlyView.A machine learning framework is presented for inverse design of synthesizable multifunctional composites containing both liquid metal and solid inclusions. By integrating physics‐based modeling, data‐driven prediction, and Bayesian optimization, the approach enables intelligent design of experiments to identify optimal compositions and realize these ...
Lijun Zhou +5 more
wiley +1 more source
Portfolio based VaR model: a combination of extreme value theory (EVT) and dynamic conditional correlation (DCC) model [PDF]
, 2013 This thesis fills a gap in the risk management literature and expands the understanding of the portfolio value at risk (VaR) by providing a theoretical market risk measurement of a portfolio (called “GEV-DCC model”), which combines the tail dynamic ...
Wang, Jo-Yu
core
Orbital Geometry‐Governed Response of Pressure‐Tunable Quantum Defects in hBN
Advanced Functional Materials, EarlyView.Defects in hBN act as ultrasensitive quantum manometers when the energy of the intradefect optical transitions is modified by lattice compression. The orbital geometry of the electron wave functions governs how electron hopping and Coulomb interactions react uniquely to the reduction of the van der Waals gap and in‐plane compression, leading to robust ...
Magdalena Grzeszczyk +6 more
wiley +1 more source
Generalized Extreme Value Regression for Binary Rare Events Data: an Application to Credit Defaults [PDF]
The most used regression model with binary dependent variable is the logistic regression model. When the dependent variable represents a rare event, the logistic regression model shows relevant drawbacks.
Silvia Angela Osmetti +1 more
core
Historical Foundation and Practical Guideline for Ferroelectric Switching Kinetic Studies
Advanced Functional Materials, EarlyView.The P and U pulses in the conventional PUND measurements are not identical because of the interplay between switching current and the measurement circuit components. This circuit effect can lead to a shift in polarization transients and misinterpreted physics in the switching kinetics.
Yi Liang, Pat Kezer, John T. Heron
wiley +1 more source
An extreme value analysis of water levels at the Akosombo dam, Ghana
HeliyonThe Akosombo Dam is the largest dam in Ghana and is linked to the world's largest man-made lake by surface area. The top of flood control pool of the dam has been breached a number of times, so it is of interest to know the corresponding probability. The
Saralees Nadarajah, Charles Kwofie
doaj +1 more source
Seasonal Cycle in German Daily Precipitation Extremes
Meteorologische Zeitschrift, 2018 The seasonal cycle of extreme precipitation in Germany is investigated by fitting statistical models to monthly maxima of daily precipitation sums for 2,865 rain gauges. The basis is a non-stationary generalized extreme value (GEV) distribution variation
Madlen Fischer +2 more
doaj +1 more source
Modelling Extreme Temperature In Malaysia Using Generalized Extreme Value Distribution
, 2013 {"references": ["Blain, G. C. (2011), Modeling Extreme Minimum Temperature Series\nunder Climate Change Conditions. Ci\u251c\u00acncia Rural, Santa Maria, v.41,\nNo11, p.1877-1883.", "Climate Change Scenarios for Malaysia 2001-2009, Malaysian\nMeteorological Department Scientific Report, January 2009. [Accessed\n27th April 2012].
Husna Hasan +2 more
openaire +2 more sources
Filtered Extreme Value Theory for Value-At-Risk Estimation [PDF]
Extreme returns in stock returns need to be captured for a successful risk management function to estimate unexpected loss in portfolio. Traditional value-at-risk models based on parametric models are not able to capture the extremes in emerging markets ...
Yilmazer, Sait +2 more
core +1 more source
Advanced Materials, EarlyView.AI‐Assisted Workflow for (Scanning) Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling. Abstract (Scanning) transmission electron microscopy ((S)TEM) has significantly advanced materials science but faces challenges in correlating precise atomic structure information with the functional properties of ...
Marc Botifoll +19 more
wiley +1 more source