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Virtual Chemistry and Simulations

Chemistry moves from the lab and the classroom to the computer, as working in a virtual chemistry laboratory and viewing simulations provide additional ways of learning chemistry. Next-Generation Molecular Workbench Visual, Interactive Simulations for Teaching & Learning Science For Chemistry Beginners:- PhET Interactive Simulations PhET, based at the University of Colorado at Boulder, offers over three dozen chemistry-based simulations. Users can search by subject and grade level. Many have been translated into different languages. Chemistry Solutions: Featured Simulations Each issue of  Chemistry Solutions , the periodical of the American Association of Chemistry Teachers, contains a simulation. This page collects and describes simulations from past issues. MERLOT Simulation Collection The Multimedia Educational Resource for Learning and Online Teaching (MERLOT) at the California State University has collected descriptions and links to a huge numbe...
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Syllabi and Reference Books for CSIR-UGC-NET/GATE and CSE Chemistry

Syllabus for GATE Chemistry  Section 1: Physical Chemistry Structure: Postulates of quantum mechanics. Time dependent and time independent Schrödinger equations. Born interpretation. Particle in a box. Harmonic oscillator. Rigid rotor. Hydrogen atom: atomic orbitals. Multi-electron atoms: orbital approximation. Variation and first order perturbation techniques. Chemical bonding: Valence bond theory and LCAO-MO theory. Hybrid orbitals. Applications of LCAO-MOT to H2+, H2 and other homonuclear diatomic molecules, heteronuclear diatomic molecules like HF, CO, NO, and to simple delocalized π– electron systems. Hückel approximation and its application to annular π – electron systems. Symmetry elements and operations. Point groups and character tables. Origin of selection rules for rotational, vibrational, electronic and Raman spectroscopy of diatomic and polyatomic molecules. Einstein coefficients. Relationship of transition moment integral with molar extinction co...
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AI and Machine Learning in Chemistry: Revolutionizing Discovery and Innovation

AI and Machine Learning in Chemistry: Revolutionizing Discovery and Innovation by Anil Kumar ,Assistant Professor, Department of Chemistry,A.S. College,Deoghar The integration of Artificial Intelligence (AI) and Machine Learning (ML) into the field of chemistry is catalyzing a transformation in research, development, and applications. By leveraging vast amounts of data, these technologies are enabling chemists to accelerate discoveries, optimize processes, and uncover new insights that were previously beyond reach. This blog post explores the pivotal role of AI and ML in chemistry, highlighting their applications, benefits, and future potential. Accelerating Drug Discovery One of the most significant impacts of AI and ML in chemistry is in the pharmaceutical industry, particularly in drug discovery. Traditional drug discovery is a lengthy, expensive, and complex process that involves sifting through massive amounts of chemical compounds to identify potential candidates for drug develop...
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