Results 151 to 160 of about 144,008 (301)

Machine learning models show similar performance to Renewables.ninja for generation of long-term wind power time series even without location information [PDF]

, 2019
Johann Baumgärtner, Katharina Gruber, Sofia G. Simões, Yves‐Marie Saint‐Drenan, Johannes Schmidt   +4 more
openalex   +1 more source

Synthesis of a Novel Thermoresponsive S53P4 Bioactive Glass Extract–Poloxamer 407 Injectable Hydrogels: Assessment of Biocompatibility and Antimicrobial Properties

Advanced Engineering Materials, EarlyView.
This study investigates innovative thermoreversible hydrogels derived from S53P4 bioactive glass extracts to aid in the healing of infected diabetic foot wounds. These injectable gels, which gel at body temperature, release beneficial ions and remain stable over time.
Marian G. Vargas Guerrero, Adrian Stiller, Alex Nygård, Matej Krivulka, Lars Galema, Erwin Peters, Jimmy Lucchesi, Peter Uppstu, Leena Hupa, Jacobus J. C. Arts   +9 more
wiley   +1 more source

Rising worldwide challenges to climate-induced extreme low-production events of photovoltaic and wind power. [PDF]

Nat Commun
Wang Q, Liu K, Wang M, Zhang Z, Chen H, Liu L, Wu J, Zheng H.   +7 more
europepmc   +1 more source

Forecasting the Generation of Wind Power inthe Western and Southern Regions of India:Comparative Approach [PDF]

, 2020
Saptarshi Das
openalex  

Interaction between Molten Al‐Killed Mn–B Steel and Carbon‐Bonded MgO Refractories Based on Recyclates

Advanced Engineering Materials, EarlyView.
High‐temperature interactions between low‐sulfur Al‐killed Mn–B steel and MgO–C refractories (0 and 50 wt% recyclates) are studied via finger immersion tests (1600 °C). Surface‐active elements influence infiltration. MgO/CaS layer forms, along with spinel and calcium silicate.
Matheus Roberto Bellé, Lukas Neubert, Anton Yehorov, Till M. J. Stadtmüller, Christos G. Aneziris, Olena Volkova   +5 more
wiley   +1 more source

Improving wind power prediction with advanced temporal and frequency domain processing combined with error correction. [PDF]

Sci Rep
Gao J, Sun Y, Kim H, Kim C, Jung H.
europepmc   +1 more source

A Parametric Study on Power Variation for Model Wind Turbine Arrays

, 2000
Dominic DeLucia
openalex   +2 more sources

Improved Sigma Z-source Inverter-fed Grid System for Wind Power Generation

, 2021
Vivek Sharma, M. J. Hossain, Yongheng Yang, Syed Munvar Ali, Muhammad Kashif   +4 more
openalex   +2 more sources

A Thermodynamic 3D Model for the Simulation of Diffusion‐Controlled Alloying Processes in Heterogeneous Material Structures

Advanced Engineering Materials, EarlyView.
A numerical model resulting from irreversible thermodynamics for describing transport processes is introduced, focusing on thermodynamic activity gradients as the actual driving force for diffusion. Implemented in CUDA C++ and using CalPhaD methods for determining the necessary activity data, the model accurately simulates interdiffusion in aluminum ...
Ulrich Holländer, Leonhard Holländer, André Langohr, Hans Jürgen Maier   +3 more
wiley   +1 more source

Ranking-oriented machine learning framework for probabilistic wind power forecasting with temporal reliability constraints. [PDF]

Sci Rep
Li C, Dai J, Tian S, Jiang Y, Hu Q, Chen J, Peng S, Wen Y.   +7 more
europepmc   +1 more source