Results 151 to 160 of about 58,117 (278)

Analysis of Ruddlesden‐Popper and Dion‐Jacobson 2D Lead Halide Perovskites Through Integrated Experimental and Computational Analysis

open access: yesBattery Energy, Volume 4, Issue 2, March 2025.
Optimized ML framework for predicting RP and Dj phases in perovskite solar cells. ABSTRACT Two‐dimensional (2D) lead halide perovskites (LHPs) have captured a range of interest for the advancement of state‐of‐the‐art optoelectronic devices, highly efficient solar cells, next‐generation energy harvesting technologies owing to their hydrophobic nature ...
Basir Akbar, Kil To Chong, Hilal Tayara
wiley   +1 more source

Triple-Band Single-Layer Rectenna for Outdoor RF Energy Harvesting Applications. [PDF]

open access: yesSensors (Basel), 2021
Boursianis AD   +6 more
europepmc   +1 more source

Dynamic pH profiles drive higher cell‐specific and volumetric productivity

open access: yesBiotechnology Progress, EarlyView.
Implementation of dyamic pH profiles for increased CHO cell culture productivity. Abstract Mammalian cell cultures in bioreactors rely heavily on critical process parameter control to ensure optimal growth, productivity, and reproducibility to produce recombinant therapeutic proteins. Culture pH has been shown to be a critical parameter that influences
Stephanie R. Klaubert   +6 more
wiley   +1 more source

Advances in Triboelectric Nanogenerators With Rotating Structure

open access: yesCarbon Energy, EarlyView.
The rotating TENG has been widely studied for its superiorities of simple structure, high efficiency, and stable output. This review introduced the four different principles of rotating TENG and offered a thorough summary for performance and application research through three‐level classification. Importantly, the current existing problems, challenges,
Chuguo Zhang   +4 more
wiley   +1 more source

Photoelectrochemical Hydrogen Peroxide Production via Simultaneous Reduction and Oxidation Processes

open access: yesChemistry – A European Journal, EarlyView.
Hydrogen peroxide (H2O2) is an important chemical substance and also a promising carbon‐free clean fuel. The design of a sophisticated photoelectrochemical (PEC) reaction system enables the solar‐driven H2O2 production through simultaneous water oxidation and oxygen reduction processes (H2O2/H2O2‐PEC cells).
Tetsuro Soejima   +2 more
wiley   +1 more source

Caving‐enhanced geothermal system overwhelms fracturing‐ and pipe‐enhanced geothermal system in heat extraction

open access: yesDeep Underground Science and Engineering, EarlyView.
Our study reveals that caving‐enhanced geothermal systems (C‐EGS) with adequately fractured reservoirs achieve optimal heat extraction by minimizing preferential flow paths, while conventional fracturing (F‐EGS) and pipe‐based (P‐EGS) systems suffer accelerated thermal drawdown.
Fangchao Kang   +4 more
wiley   +1 more source

Sustainable Live Sound Monitoring and Classification System Enabled by a Triboelectric Nanogenerator and Machine Learning Techniques

open access: yesENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
A high‐performance Triboelectric Nanogenerator (TENG) acoustic sensor using polyimine/graphite polypropylene (PI/GP) was developed for real‐time, sustainable sound monitoring and classification. The self‐powered device delivers 25.67 μW output power, 92.7% accuracy with MobileNet V1, and powers a wireless transmission circuit, demonstrating dual ...
Majid Haji Bagheri   +8 more
wiley   +1 more source

Performance Monitoring of Photovoltaic Modules Using Machine‐Learning‐Based Solutions: A Survey of Current Trends

open access: yesEnergy Science &Engineering, EarlyView.
The graphical abstract presents the concept of applying machine‐learning algorithms to assess the performance of photovoltaic modules. Data from solar panels are fed to surrogates of intelligent models, to assess the following performance metrics: identifying faults, quantifying energy production and trend degradation over time. The combination of data
Nangamso Nathaniel Nyangiwe   +3 more
wiley   +1 more source

Machine Learning and Artificial Intelligence Techniques for Intelligent Control and Forecasting in Energy Storage‐Based Power Systems

open access: yesEnergy Science &Engineering, EarlyView.
A new energy paradigm assisted by AI. ABSTRACT The tremendous penetration of renewable energy sources and the integration of power electronics components increase the complexity of the operation and power system control. The advancements in Artificial Intelligence and machine learning have demonstrated proficiency in processing tasks requiring ...
Balasundaram Bharaneedharan   +4 more
wiley   +1 more source

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