Results 241 to 250 of about 14,302 (309)

Hybrid prediction system for reliable multi-seasonal sustainable energy generation under meteorological and environmental volatility. [PDF]

Sci Rep
Liu H, Cai C, Li P, Wang Y, Zhao M, Tang C, Tu B, Li Y, Zheng X, Ma Y, Liang H, Chen M.   +11 more
europepmc   +1 more source

Experimental Characterization of Mycelium‐Based Composites Under Multiple Loading Conditions

Advanced Engineering Materials, EarlyView.
This study examines the mechanical response of mycelium‐based composites under compression, shear, and tension using mechanical testing and imaging methods. The comparison between unpressed and hot‐pressed specimens shows that hot pressing is associated with higher compression and shear stiffnesses.
Shaghayegh Elahi, Kimiya Tajik, Harvey Shaw, Matti Isakov, Sami Pajunen, Lauri Rautkari   +5 more
wiley   +1 more source

Influence of Si Content and Milling Duration on the Microstructure and Mechanical–Tribological Properties of AlCoCrFeNiSi High‐Entropy Alloys

Advanced Engineering Materials, EarlyView.
Si‐doped AlCoCrFeNi high‐entropy alloys are synthesized by mechanical alloying to reveal the effect of Si content and milling time on phase evolution, microstructural refinement, and tribological behavior. A transition from FCC to BCC structure, significant grain refinement, and enhanced hardness and wear resistance are achieved, with the 4 at% Si ...
Mustafa Okumuş, Mehmet Emin Demir, Sercan Özpınar   +2 more
wiley   +1 more source

A comparative evaluation of gradient-based optimization algorithms for short-term load forecasting using deep residual networks. [PDF]

Sci Rep
Liu J, Ahmad FA, Samsudin K, Hashim F, Kadir MZAA.   +4 more
europepmc   +1 more source

Exploring Dipolar Dynamics and Ionic Transport in Metal‐Organic Frameworks: Experimental and Theoretical Insights

Advanced Functional Materials, Volume 36, Issue 43, 29 May 2026.
In this study, the interplay of dipolar dynamics and ionic charge transport in MOF compounds is investigated. Synthesizing the novel structure CFA‐25 with integrated freely rotating dipolar groups, local and macroscopic effects, including interactions with Cs cations are explored.
Ralph Freund, Arthur Schulz, Peter Lunkenheimer, Maryana Kraft, Thomas Bergler, Harald Oberhofer, Dirk Volkmer   +6 more
wiley   +1 more source

Global solar energy potential forecasting through machine learning and deep learning models. [PDF]

Sci Rep
Raza MA, Karim A, Altayeb M, Masud MI, Faheem M, Jumani TA, Aman M.   +6 more
europepmc   +1 more source

Printed Integrated Logic Circuits Based on Chitosan‐Gated Organic Transistors for Future Edible Systems

Advanced Functional Materials, EarlyView.
Edible electronics needs integrated logic circuits for computation and control. This work presents a potentially edible printed chitosan‐gated transistor with a design optimized for integration in circuits. Its implementation in integrated logic gates and circuits operating at low voltage (0.7 V) is demonstrated, as well as the compatibility with an ...
Giulia Coco, Valerio Francesco Annese, Valerio Galli, Ilaria Penna, Debora Russo, Marina Veronesi, Rita Scarpelli, Stefania Sabella, Mario Caironi   +8 more
wiley   +1 more source

Attention-Enhanced CNN-LSTM with Spatial Downscaling for Day-Ahead Photovoltaic Power Forecasting. [PDF]

Sensors (Basel)
Peng F, Tang X, Xiao M.
europepmc   +1 more source

A Surface‐engineered Microfluidic Device for Antibody‐Mediated Negative Selection of High‐Quality Sperm for Assisted Reproduction

Advanced Functional Materials, EarlyView.
This study reports a microfluidic device with a functionalized surface utilizing a polyoxazoline coating and covalently immobilized gold nanoparticles and anti‐phosphatidylserine antibody. The device efficiently eliminates pre‐apoptotic and apoptotic spermatozoa and yields sperm with substantially improved quality and low DNA damage, offering a simple ...
Soraya Rasi Ghaemi, David J. Sharkey, Nicole O. McPherson, Markos Negash Alemie, Krasimir Vasilev, Sarah A. Robertson   +5 more
wiley   +1 more source

Evaluating deep learning time series models for PM_2.5 forecasting across diverse horizons. [PDF]

iScience
Zeng L, Dong R, Yuan M, Jing L, Jiao S.
europepmc   +1 more source