Results 301 to 310 of about 5,371,893 (343)

Mechanisms of De‐icing by Surface Rayleigh and Plate Lamb Acoustic Waves

Advanced Engineering Materials, EarlyView.
Ice accretion impacts daily life, renewable energy generation, maintenance, and security in industries and aeronautics. Acoustic waves (AW) are a promising method for ice removal, although de‐icing mechanisms require further investigation to optimize energy efficiency.
Shilpi Pandey, Jaime del Moral, Stefan Jacob, Laura Montes, Jorge Gil‐Rostra, Alejandro Frechilla, Atefeh Karimzadeh, Victor J. Rico, Raul Kanter, Niklas Kandelin, Carmen López‐Santos, Heli Koivuluoto, Luis Angurel, Andreas Winkler, Ana Borrás, Agustin R. González‐Elipe   +15 more
wiley   +1 more source

Author Correction: First observation of genus Komarkiella in Iranian saline soils. [PDF]

Sci Rep
Ghadirli M, Haghighat S, Nowruzi B, Norouzi R, Hutarova L.   +4 more
europepmc   +1 more source

Trans‐Conductive Melt Pool Scaling and its Implications for Parameter Transfer in Laser Powder Bed Fusion for Metals with High Thermal Diffusivity

Advanced Engineering Materials, EarlyView.
Developing process parameters for the laser‐based Powder Bed Fusion of metals can be a tedious task. Based on melt pool depth, the process parameters are transferable to different laser scan speeds. For this, understanding the melt pool scaling behavior is essential, particularly for materials with high thermal diffusivity, as a change in scaling ...
Markus Döring, Matthias Gehring, Michael Schmidt   +2 more
wiley   +1 more source

Publisher Correction: Factors influencing the agricultural extension model sites in Iran. [PDF]

Sci Rep
Amghani MS, Miladi H, Savari M, Mojtahedi M.   +3 more
europepmc   +1 more source

Influence of Form and Structural Features of Open‐Cell Hybrid Foam on the Remanent Magnetic Scanning

Advanced Engineering Materials, EarlyView.
Simulations using an equivalent model are performed to improve the understanding of remanent magnetic scanning of hybrid foam samples for coating thickness estimation. The model allows to study the influence of isolated geometrical features such as layer thickness, boundary effects, as well as effects due to the statistical nature of the foams, which ...
Bashar Ibrahim, Michael M. Becker, Francesco Kunz, Anne Jung, Sarah C. L. Fischer   +4 more
wiley   +1 more source

Erratum to "Morroniside Protects C2C12 Myoblasts from Oxidative Damage Caused by ROS-mediated Mitochondrial Damage and Induction of Endoplasmic Reticulum Stress" [Biomol Ther 32(3), 349-360 (2024)]. [PDF]

Biomol Ther (Seoul)
Hwangbo H, Park C, Bang E, Kim HS, Bae SJ, Kim E, Jung Y, Leem SH, Seo YR, Hong SH, Kim GY, Hyun JW, Choi YH.   +12 more
europepmc   +1 more source

Advances in Hybrid Icing and Frosting Protection Strategies for Optics, Lens, and Photonics in Cold Environments Using Thin‐Film Acoustic Waves

Advanced Engineering Materials, EarlyView.
This article provides a comprehensive overview of fundamentals and recent advances of transparent thin‐film surface acoustic wave technologies on glass substrates for monitoring and prevention/elimination of fog, ice, and frost. Fogging, icing, or frosting on optical lenses, optics/photonics, windshields, vehicle/airplane windows, and solar panel ...
Hui Ling Ong, Zhangbin Ji, Luke Haworth, Yihao Guo, Jaime del Moral, Stefan Jacob, Ana Borras, Agustin R. Gonzalez‐Elipe, Jikai Zhang, Jian Zhou, Glen McHale, Yong‐Qing Fu   +11 more
wiley   +1 more source

Reply to Füller et al.: Exome-wide genetic associations with socioeconomic status and their pleiotropy among health outcomes. [PDF]

Proc Natl Acad Sci U S A
Wu XR, Yang L, Wu BS, Cheng W, Yu JT.
europepmc   +1 more source

Static and Dynamic Behavior of Novel Y‐Shaped Sandwich Beams Subjected to Compressive Loadings: Integration of Supervised Learning and Experimentation

Advanced Engineering Materials, EarlyView.
In this study, the mechanical response of Y‐shaped core sandwich beams under compressive loading is investigated, using deep feed‐forward neural networks (DFNNs) for predictive modeling. The DFNN model accurately captures stress–strain behavior, influenced by design parameters and loading rates.
Ali Khalvandi, Saeed Kamarian, Mahdi Bodaghi, Saeed Saber‐Samandari, Jung‐il Song   +4 more
wiley   +1 more source