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Computer simulations in molecular biology / Hiqmet Kamberaj

By: Kamberaj, HiqmetMaterial type: TextTextSeries: Publisher: Cham : Springer, 2023Description: 1 online resource (xiii, 298 pages) : illustrations (some color)ISBN: 9783031348396; 3031348397Subject(s): Quantum theory | Molecular biologyDDC classification: HQ506 .K36 2022, 30.1201/13 Online resources: Click here to access online | Click here to access online | Click here to access online
Contents:
Quantum Mechanics Molecular Dynamics in Simulations -- Basis Set Functions -- Semi-Empirical Quantum Mechanics Molecular Dynamics -- Machine Learning Quantum Mechanics Molecular Dynamics -- Quantum Mechanics Simulations Package
Summary: This book covers a range of topics in quantum mechanics and molecular dynamics simulation, including computational modeling and machine learning approaches. The book also provides a Python GUI and tutorials for simulating molecular biological systems and presents case studies of quantum mechanics simulations for predicting electronic properties. Its pedagogical formatting makes it easy for students to understand and follow and has been praised for providing clear and detailed explanations of complex topics. This book is ideal for graduate students and researchers in theoretical and computational biophysics, physics, chemistry, and materials science, as well as postgraduates in applied mathematics, computer science, and bioinformatics
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Holdings
Item type Current library Call number Status Date due Barcode
Books Books Gabriel Afolabi Ojo Central Library (Headquarters).
QH506 .K36 2022. (Browse shelf(Opens below)) Available 0195296
Books Books Gabriel Afolabi Ojo Central Library (Headquarters).
QH506 .K36 2022. (Browse shelf(Opens below)) Available 0195297

Quantum Mechanics Molecular Dynamics in Simulations -- Basis Set Functions -- Semi-Empirical Quantum Mechanics Molecular Dynamics -- Machine Learning Quantum Mechanics Molecular Dynamics -- Quantum Mechanics Simulations Package

This book covers a range of topics in quantum mechanics and molecular dynamics simulation, including computational modeling and machine learning approaches. The book also provides a Python GUI and tutorials for simulating molecular biological systems and presents case studies of quantum mechanics simulations for predicting electronic properties. Its pedagogical formatting makes it easy for students to understand and follow and has been praised for providing clear and detailed explanations of complex topics. This book is ideal for graduate students and researchers in theoretical and computational biophysics, physics, chemistry, and materials science, as well as postgraduates in applied mathematics, computer science, and bioinformatics

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