Encoding Magnetic Anisotropies in Digital Light Processing 3D Printing
Advanced Functional Materials, EarlyView.A hybrid magnetic device—combining a coaxial coil within a nested Halbach array—is presented, integrated into a DLP 3D printer to enable spatially resolved magnetic field control. This system enables complex, multimodal responses by programming liquid crystal elastomer resins for magnetic and thermal actuation, and by inducing electrically conductive ...
Eléonore Aïdonidis +11 more
wiley +1 more source
Applicability of the EWMA model to estimate the volatility of Istanbul stock exchange bonds and bills market [PDF]
Calculations based on Volatility Forecasting Models are the leading research topics in today’s financial markets. Numerous volatility models exist to predict the future in financial markets, ranging from historical and forecasting models to conditional ...
Canturk KAYAHAN, Riza ASIKOGLU
core
Surface Diffusion in SnTe‐PbTe Monolayer Lateral Heterostructures
Advanced Functional Materials, EarlyView.The lateral heterostructures between 2D materials often suffer from the interdiffusion at the interfaces. Here, a surface diffusion mechanism is found to be dominating at the interfaces between semiconducting SnTe and PbTe monolayers. Atomically sharp interfaces can be achieved by suppressing this diffusion process. ABSTRACT The construction of complex
Jing‐Rong Ji +9 more
wiley +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
Temporal aggregation of multivariate GARCH processes [PDF]
This paper derives results for the temporal aggregation of multivariate GARCH processes in the general vector specification. It is shown that the class of weak multivariate GARCH processes is closed under temporal aggregation.
Christian M. Hafner
core
Advanced Functional Materials, EarlyView.Permanent magnets derive their extraordinary strength from deep, universal electronic‐structure principles that control magnetization, anisotropy, and intrinsic performance. This work uncovers those governing rules, examines modern modeling and AI‐driven discovery methods, identifies critical bottlenecks, and reveals electronic fingerprints shared ...
Prashant Singh
wiley +1 more source
The role of coronavirus news in the volatility forecasting of crude oil futures markets: Evidence from China. [PDF]
Resour Policy, 2021 Niu Z, Liu Y, Gao W, Zhang H.
europepmc +1 more source
Forecasting Realised Volatility using a Long Memory Stochastic Volatility Model: Estimation, Prediction and Seasonal Adjustment [PDF]
We study the modelling of large data sets of high frequency returns using a long memory stochastic volatility (LMSV) model. Issues pertaining to estimation and forecasting of datasets using the LMSV model are studied in detail.
Deo, Rohit S. +2 more
core
Designing Asymmetric Memristive Behavior in Proton Mixed Conductors for Neuromorphic Applications
Advanced Functional Materials, EarlyView.Protonic devices that couple ionic and electronic transport are demonstrated as bioinspired neuromorphic elements. The devices exhibit rubber‐like asymmetric memristive behavior with slow voltage‐driven conductance increase and rapid relaxation, enabling simplified read–write operation.
Nada H. A. Besisa +6 more
wiley +1 more source
Is Stock Price Volatility A Risk? : An Evaluation Review [PDF]
International Journal of Management, Accounting and Economics, 2019 Price volatility presents the investor possibilities and opportunities to buy securities at cheap prices and then sell it when they are overpriced, resulting in a profit at the end of the day.
Rabia Qammar, Rana Zain-Ul-Abidin
doaj