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‘Analysis Of Graphene Coatings On Various Metallic/oxide Crystal/composite Material Substrates Using Machine Learning For Enhanced Solar Thermal Energy Conversion – Nature.com’

Nature.com Feb 07, 2025

Because energy interest demands clean and sustainability in the last ten years. Solar thermal energy conversion where sunlight can be absorbed to convert it into heat can stand as an alternative for this purpose. Graphene dispersed with different substrates enables us to get torsion control over light absorption and heat transport. This work discusses the optothermal properties of graphene-based coatings on different substrates such as CuO MAPBI3 Fe etc. The optothermal properties of such CuO-graphene MAPBI3-graphene and Fe-graphene combinations display the highest average absorptance of 96.8 across the solar spectrum between 0.2 and 2.5ampnbsp956m followed by 86.7 by MAPBI3-graphene. However Fe-graphene depicts a significantly lower value of 24.3. A critical inspection of these optothermal properties would enrich one with critical knowledge of design optimisation in graphene-coated solar absorbers. Thus the data collection time is greatly reduced using ML compared to running simulations which have a step size of about 8ampnbsph per change. Where the machine learning efficacy is 98 for the thickness optimization of Fe CuO and MAPBI3 with 25 test data. Of much potential interest are the solar absorbers developed using these materials in fields such as solar thermal energy harvesting airwater heaters and industrial heating systems.

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‘Electret Integrated Magnetic Field Sensor Based On Magnetostrictive Polymer Composite With NT Resolution – Nature.com’

Nature.com Jan 10, 2025

The pursuit for advanced magnetoelectric field sensors has gained momentum driven by applications in various fields ranging from biomedical applications to soft robotics and the automotive sector. In this context a capacitive read-out based magnetostrictive polymer composite MPC sensor element is introduced offering a new perspective on magnetic field detection. The sensor element8217s unique feature is the possibility to independently tailor its mechanical and magnetic properties. When compared to other composite-based magnetic field sensors the limit of detection LoD is three orders of magnitude lower 95.6 nT8730Hz at a resonance frequency of 160.5ampnbspHz. In contrast to other electret-based ME sensors the LoD is reduced by a factor of 20. To the best of the authors8217 knowledge this work marks the first comprehensive attempt to characterize a sensor magnetically aligning with the thorough assessment standards of ME sensors. This study aims to narrow the disparity between established magnetic field sensors featuring consistent characterization protocols and the novel MPC sensors which often undergo limited magnetic characterization as part of their evaluation. The presented sensor built from readily available materials offers a versatile and tuneable platform for magnetic field detection and ongoing research aims to unlock its full potential in diverse applications.

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