Results 191 to 200 of about 119,543 (344)
Ferroelectric Devices for In‐Memory and In‐Sensor Computing
Inspired by biological systems, in‐memory and in‐sensor computing overcome von Neumann bottlenecks. Ferroelectric devices can mimic synaptic functions and sense stimuli like light or force, therefore are ideal for these paradigms. This review introduces the ferroelectric devices applied for in‐memory and in‐sensor computing, covering their structures ...
Hong Fang +5 more
wiley +1 more source
Crofton Risk and Relative Transactional Entropy. [PDF]
Makowski M, Piotrowski EW.
europepmc +1 more source
Relationship of the Change in Implied Volatility with the Underlying Equity Index Return in Thailand
Supachok Thakolsri +2 more
openalex +1 more source
The empirical performance of option implied volatility surface-driven optimal portfolios
Massimo Guidolin, Kai Wang
openalex +1 more source
Advanced Technologies for Characterizing and Detecting Battery Thermal Failure: A Review
Illustration of advanced characterization techniques to predict battery thermal failure. ABSTRACT Energy storage is essential in accelerating the global transition toward clean and sustainable energy across various sectors. Lithium‐ion batteries (LIBs) have become increasingly significant for energy storage due to their high energy density, low ...
Yongxiu Chen +5 more
wiley +1 more source
Agentic Finance: An Adaptive Inference Framework for Bounded-Rational Investing Agents. [PDF]
Montañez Jacquez S +2 more
europepmc +1 more source
Local and implied volatilities with the mixed-modified-fractional-Dupire model
Eric Djeutcha, Jules Sadefo Kamdem
openalex +2 more sources
Interlayer sliding in the RuO2Zn2F2 bilayer induces ferroelectricity and enables reversible valley polarization switching. The electric dipole and valley‐resolved band edges are intimately coupled, revealing sliding ferroelectricity as a powerful mechanism for electrical control of valley degrees of freedom in 2D materials.
Djamel Bezzerga +3 more
wiley +1 more source
Enhancing Prediction by Incorporating Entropy Loss in Volatility Forecasting. [PDF]
Urniezius R +9 more
europepmc +1 more source

