Conceptual

Machine Learning in Material Science

Machine Learning in Material Science Research

In recent years, the integration of machine learning (ML) techniques with material science research has catalyzed innovation, revolutionizing traditional approaches to material discovery, characterization, and optimization. This article explores the diverse applications of ML in material science, highlighting its transformative impact on various research domains. Areas in Material Science where Machine Learning is Used Prediction […]

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A Simple Data Visualization Web App Using Streamlit Library

The concept of the Internet of Things (IoT) revolves around the integration of sensors with compact computing devices like Arduino boards. This fusion enables a multitude of applications, ranging from surveillance monitoring to automated door locking and smart farming. A pivotal component of IoT systems is the dashboard, which serves as a hub for visualizing

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Exploring the Depths of Crystallography: Advanced X-ray Characterization Through Reciprocal Space Mapping

The two or three-dimensional mapping of crystals in reciprocal space is known as reciprocal space mapping (RSM). The RSM is performed by a coupled scan of $2\theta-\omega$  for a set of $\omega$ values. These maps, centered around reciprocal lattice spots, offer insights beyond those obtained from single line scans, such as high-resolution rocking curves. In epitaxial

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Pulsed Laser Deposition Technique for Thin Film Growth

The pulsed laser deposition (PLD) method is a widely known thin film growth technique for its potential in growing highly crystalline oxide thin films with near stoichiometry on an ultra-thin scale. Various thin film deposition techniques are used to prepare thin films and superlattices such as sputtering, molecular beam epitaxy, PLD, thermal evaporation method, chemical

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Density Functional Theory: A Key to Unlocking Quantum Insights

Density Functional Theory: A Key to Unlock Quantum Insights

Density Functional Theory (DFT) stands as a cornerstone in the realm of quantum mechanics, serving as a powerful tool for understanding the electronic structure and properties of materials. In this article, we will embark on a journey to demystify DFT, exploring its fundamental principles, applications in material science and physics, and the practical aspects of

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Spin-orbit Coupling: The Dance of mini magnets

Referring to spin-orbit coupling as the “dance of mini magnets” is a metaphorical way to capture the essence of this quantum phenomenon. Let’s break down the comparison: By combining these elements, the metaphor “dance of mini magnets” paints a vivid picture of the lively and magnetic interplay between the spin and orbital motion of electrons

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Fundamental Concepts of Spin-Orbit torque based Magnetic RAM

Spin orbit torque based magnetic random access memory (SOT-MRAM) are non-volatile memory devices which make use of spin based transport electronics named as spintronics. In such devices, capacitors in conventional memory devices are replaced by a trilayer structure called magnetic tunnel junction (MTJ). As spin is non-volatile, it overcomes the charge leakage associated with conventional

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Statistical Testing Methods in Machine Learning

Statistical testing methods are used in machine learning to ensure that a finding is statistically significant. Hypothesis testing most commonly termed statistical testing evaluates two mutually exclusive statements about a population and determines which among the two statements best describe the experimental/sample data. Hypothesis testing is a statistical method to determine whether two samples have

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