Results 61 to 70 of about 4,165 (288)

Accelerated Discovery of High‐Performance PCFC Cathodes: Computational‐Experimental Optimization of Cobalt‐Substituted Ba0.95La0.05FeO3‐δ

open access: yesAdvanced Functional Materials, EarlyView.
An integrated computational–experimental strategy accelerates the discovery of high‐performance PCFC cathodes. Computational screening using machine learning interatomic potentials and targeted experiments identifies optimal cobalt substitution in Ba0.95La0.05FeO3‐δ, reducing area‐specific resistance by 58% at 500 °C.
Abdullah Tahir   +4 more
wiley   +1 more source

Advanced Materials for Biological Field‐Effect Transistors (Bio‐FETs) in Precision Healthcare and Biosensing

open access: yesAdvanced Healthcare Materials, EarlyView.
This review explores how advanced materials enhance Bio‐FETs for precision healthcare and biosensing. It covers their working principles, surface functionalization, and ultra‐sensitive detection capabilities. The integration of flexible designs, AI, and IoT for real‐time monitoring is discussed, along with challenges like material reproducibility and ...
Minal Pandey   +5 more
wiley   +1 more source

Enhancing Ultrasound Power Transfer: Efficiency, Acoustics, and Future Directions

open access: yesAdvanced Materials, EarlyView.
Implantable devices significantly enhance healthcare but are limited by battery life. Ultrasound power transfer technology offers a promising solution for sustainable operation. This review addresses gaps in current research, particularly in sound field analysis and energy efficiency optimization.
Yi Zheng   +6 more
wiley   +1 more source

ALGORITHMIC TRADING OF CO-INTEGRATED ASSETS

open access: yesInternational Journal of Theoretical and Applied Finance, 2015
We assume that the drift in the returns of asset prices consists of an idiosyncratic component and a common component given by a co-integration factor. We analyze the optimal investment strategy for an agent who maximizes expected utility of wealth by dynamically trading in these assets.
Cartea, A, Jaimungal, S
openaire   +4 more sources

Optoelectronic Devices for In‐Sensor Computing

open access: yesAdvanced Materials, EarlyView.
The raw data obtained directly from sensors in the noisy analogue domain is often unstructured, which lacks a predefined format or organization and does not conform to a specific data model. Optoelectronic devices for in‐sensor visual processing can integrate perception, memory, and processing functions in the same physical units, which can compress ...
Qinqi Ren   +7 more
wiley   +1 more source

Investigating the profit performance of quantitative timing trading strategies in the Shanghai copper futures market, 2020–2022

open access: yesInternational Studies of Economics
In conducting an extensive examination, we scrutinize the efficacy of algorithmic trading strategies applied to Futures CopperMainContinuous in the Shanghai Futures Exchange, utilizing a comprehensive data set spanning from January 2020 to December 2022.
Hongyu Tian   +3 more
doaj   +1 more source

Algorithmic Trading Using Double Deep Q-Networks and Sentiment Analysis

open access: yesInformation
In this work, we explore the application of deep reinforcement learning (DRL) to algorithmic trading. While algorithmic trading is focused on using computer algorithms to automate a predefined trading strategy, in this work, we train a Double Deep Q ...
Leon Tabaro   +6 more
doaj   +1 more source

Synthetic Aspects and Characterization Needs in MOF Chemistry – from Discovery to Applications

open access: yesAdvanced Materials, EarlyView.
Overcoming the challenges of phase discovery, synthesis optimization and scale‐up, characterization, and computational studies is essential to accelerate the large‐scale application of MOFs. Life‐cycle analyses and techno‐economic analyses need to be performed to realistically assess their potential for industrial relevance.
Bastian Achenbach   +4 more
wiley   +1 more source

Gated Bayesian networks for algorithmic trading

open access: yesInternational Journal of Approximate Reasoning, 2016
This paper introduces a new probabilistic graphical model called gated Bayesian network (GBN). This model evolved from the need to represent processes that include several distinct phases. In essence, a GBN is a model that combines several Bayesian networks (BNs) in such a manner that they may be active or inactive during queries to the model.
Bendtsen, Marcus, Peña, Jose M.
openaire   +3 more sources

Intelligent Dynamic Backlash Agent: A Trading Strategy Based on the Directional Change Framework

open access: yesAlgorithms, 2018
The Directional Changes (DC) framework is an approach to summarize price movement in financial time series. Some studies have tried to develop trading strategies based on the DC framework.
Amer Bakhach   +3 more
doaj   +1 more source

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