Buch, Englisch, 298 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 476 g
Reihe: Scientific Computation
Buch, Englisch, 298 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 476 g
Reihe: Scientific Computation
ISBN: 978-3-031-34841-9
Verlag: Springer Nature Switzerland
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.
Zielgruppe
Graduate
Autoren/Hrsg.
Fachgebiete
- Naturwissenschaften Chemie Physikalische Chemie Quantenchemie, Theoretische Chemie
- Naturwissenschaften Biowissenschaften Angewandte Biologie Biophysik
- Naturwissenschaften Physik Angewandte Physik Biophysik
- Naturwissenschaften Physik Physik Allgemein
- Mathematik | Informatik EDV | Informatik Professionelle Anwendung Computersimulation & Modelle, 3-D Graphik
- Naturwissenschaften Physik Quantenphysik
- Technische Wissenschaften Technik Allgemein Modellierung & Simulation
Weitere Infos & Material
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.