Results 131 to 140 of about 1,579,161 (296)

Mechanical Properties of Architected Polymer Lattice Materials: A Comparative Study of Additive Manufacturing and CAD Using FEM and µ‐CT

Advanced Functional Materials, EarlyView.
This study examines how pore shape and manufacturing‐induced deviations affect the mechanical properties of 3D‐printed lattice materials with constant porosity. Combining µ‐CT analysis, FEM, and compression testing, the authors show that structural imperfections reduce stiffness and strength, while bulk material inhomogeneities probably enhance ...
Oliver Walker, Thierry Roland, Damien Favier, Antoine Egele, Michael Heymann, Cosima Stubenrauch   +5 more
wiley   +1 more source

Absolute Growth Rate (AGR) - A Statistical Tool for Body Weight and Age Calculation in Large White Yorkshire Pigs

Indian Journal of Pure & Applied Biosciences
This study provides crucial insights into the growth performance of Large White Yorkshire (LWY) pigs in the North-Eastern Agro-Climatic Zone of Tamil Nadu, which is essential for optimizing breeding and management practices. Growth performance data were collected over six years at the Pig Breeding Unit, Post Graduate Research Institute in Animal ...
openaire   +1 more source

Backbone Heterojunction Photocatalysts for Efficient Sacrificial Hydrogen Production

Advanced Functional Materials, EarlyView.
Herein, a ‘single‐component’ organic semiconductor photocatalyst is presented in which a molecular donor is bonded to a polymer acceptor. The resultant material demonstrates exceptional photocatalytic activity for hydrogen evolution in aqueous triethylamine with an outstanding external quantum efficiency of 38% at 420 nm.
Richard J. Lyons, Rhys J. Bourhill, Ewan McQueen, Sam D. Harding, Krzysztof Pawlak, Thomas Fellowes, Harry W. Capps, Alexander J. Cowan, Andrew I. Cooper, Adrian M. Gardner, Martijn A. Zwijnenburg, Reiner Sebastian Sprick   +11 more
wiley   +1 more source

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

Advanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore, Cristiano Pesce, Antonietta Greco, Claudia Pisante, Greta Avancini, Valentina Di Francesco, Yosi Shamay, Paolo Decuzzi   +7 more
wiley   +1 more source

Effectiveness of probiotics on the growth and survival rate of catfish (Clarias sp.) in an aquaponics system

Jurnal Mangifera Edu
Applying probiotics to the recirculation system can support successful catfish production. This study aims to apply an aquaponic cultivation method that combines catfish (Clarias sp.) and water spinach cultivation by adding Probio-7 probiotics as a ...
Azmi Afriansyah, Danang Yonarta, Ja’far Shiddiq   +2 more
doaj   +1 more source

Unraveling the Mg Loss Mechanism and Degradation Kinetics in Thermoelectric n‐Type Mg2Si‐Mg2Sn Solid Solutions

Advanced Functional Materials, EarlyView.
Mg‐based thermoelectrics are among the most promising candidates for power generation applications but their performance is compromised by Mg loss at device operation temperatures due to the higher chemical potential of Mg (μMg${\mu}_{\mathrm{Mg}}$) inside the material compared to the environment.
Aryan Sankhla, Eckhard Mueller, Johannes de Boor   +2 more
wiley   +1 more source

Roll‐to‐Roll Mechanical Exfoliation for Large‐Area van der Waals Films with Preserved Crystallographic Alignment

Advanced Functional Materials, EarlyView.
A roll‐to‐roll exfoliation method is demonstrated that preserves the crystallographic alignment of anisotropic 2D materials over large areas, enabling scalable fabrication of directional electronic and optoelectronic devices. Abstract Anisotropic 2D materials such as black phosphorus (BP), GeS or CrSBr, exhibit direction‐dependent optical and ...
Esteban Zamora‐Amo, Francisco Fernandez‐Canizares, Yigit Sozen, Thomas Pucher, Pedro L Alcázar Ruano, Carmen Munuera, Ryo Ishikawa, Naoya Shibata, María Varela, Der‐Yuh Lin, Bing Wu, Jorge Quereda, Zdenek Sofer, Gabriel Sánchez‐Santolino, Andres Castellanos‐Gomez   +14 more
wiley   +1 more source

How the absolute growth rate of poplar adapts to the light-NO^-₃-dosage [PDF]

Annales des Sciences Forestières, 1989
openaire   +3 more sources

Spectrally Tunable 2D Material‐Based Infrared Photodetectors for Intelligent Optoelectronics

Advanced Functional Materials, EarlyView.
Intelligent optoelectronics through spectral engineering of 2D material‐based infrared photodetectors. Abstract The evolution of intelligent optoelectronic systems is driven by artificial intelligence (AI). However, their practical realization hinges on the ability to dynamically capture and process optical signals across a broad infrared (IR) spectrum.
Junheon Ha, Yingshan Ma, Yong Nam An, Sung‐Un An, Hyeon Hak Jung, Suvi‐Tuuli Varjamo, Jiwon Yoo, Junho Min, Hanvit Kim, Faisal Ahmed, Sang Hoon Chae, Young Min Song, Weiwei Cai, Tawfique Hasan, Zhipei Sun, Dong‐Ho Kang, Hyeon‐Jin Shin, Yunyun Dai, Hoon Hahn Yoon   +18 more
wiley   +1 more source

The Growth Costs of Malaria [PDF]

Malaria ranks among the foremost health issues facing tropical countries. In this paper, we explore the determinants of cross-country differences in malaria morbidity, and examine the linkage between malaria and economic growth.
Desmond McCarthy, Holger Wolf, Yi Wu
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