Tag: electronic properties
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Understanding the Effects on Nanostructures in Reducing the Topotactic Transformation in LaNiO2 Crystals
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In the world of scientific research, the nanoscale properties of materials are a fascinating topic, especially in the field of superconducting materials. This article discusses the effects of structural transformation at the nanoscale during the topotactic reduction process of LaNiO2 crystals. We examine the reasons and challenges associated with this…
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The Effect of Coating Layers on the Growth of Nanocrystals of Ruthenium Oxide Under Solid-State Analysis Conditions
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The crystalline growth techniques for thin films are considered essential tools in the field of materials science, playing a vital role in the development of a wide range of industrial applications. In this article, we highlight a new study that addresses the effect of encapsulation on the crystalline growth process…
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Accelerating Material Discovery and Modeling Using Machine Learning
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In the world of materials technology, machine learning and artificial intelligence have become fundamental pillars reshaping how new materials are discovered and developed. This article aims to highlight the transformative role these technologies play in accelerating the material discovery process by presenting innovative methods based on big data to analyze…
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Internal transformation of the Bi–Te family through smooth chemical reactions.
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In the world of advanced scientific research, chemical families are considered fascinating topics, as they allow us to explore chemical reactions and the nature of materials in new ways. The bismuth-telluride (Bi–Te) family is a prominent example, representing a diverse array of compounds with layered structures that draw interest in…
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Contradictions in the Theory of Strange Metals: A New Experiment Reveals the Nature of Electric Flow
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**Introduction** In the world of modern physics, exotic materials and rare salts remain a focal point of interest and curiosity for researchers, as they reveal new secrets that challenge conventional concepts. In this context, researcher Liang Chen and his colleagues from Rice University have made a revolutionary breakthrough, uncovering exciting…
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COSMO-RS Model for Predicting the Gas Solubility of Carbon Dioxide and Nitrogen in Ionic Liquids Using Machine Learning Algorithms
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Given the increasing environmental challenges arising from elevated levels of carbon dioxide in the atmosphere, research is focusing on developing effective methods for removing emissions of this gas and converting it into valuable chemicals. The use of ionic liquids (ILs) as green environments to enhance the solubility of gases such…