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Understanding Molecular Simulation: From Algorithms to Applications
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товар №:
73482265
UZS 1714144
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Understanding Molecular Simulation provides readers with the foundational knowledge they need to learn about, select and apply the most appropriate simulation tools to their own work.
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- Explains molecular simulation from a chemical-physics and statistical-mechanics perspective
- Highlights the use of physical concepts to develop better algorithms and expand the range of simulations
- Equally relevant for developers of new code and users of existing packages
- Illustrates the implementation of simulation methods in pseudocodes and through case studies
- Describes new developments in the field of molecular simulation, including expanded information on molecular dynamics and statistical assessment of simulation results
- Provides online access to new data, algorithms, and tutorial slides to support learning and practice
| Publisher | Academic Press |
| Publication date | August 1, 2023 |
| Edition | 3rd |
| Language | English |
| Print length | 679 pages |
| ISBN-10 | 0323902928 |
| ISBN-13 | 978-0323902922 |
| Item Weight | 2.31 pounds (1.05 kg) |
| Dimensions | 5.98 x 1.7 x 9.02 inches (15.2 x 4.3 x 22.9 cm) |
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Understanding Molecular Simulation: From Algorithms to Applications
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Quantum Chemistry Editorial Review
**** "Understanding Molecular Simulation: From Algorithms to Applications, 3rd Edition," is a top-tier resource that caters to advanced researchers and students in the field of molecular simulation. The Consensus among readers is that this book serves as an outstanding reference tool, particularly for those involved in computational chemistry, molecular dynamics, and Monte Carlo simulations. Its comprehensive approach and depth of content make it a staple for anyone serious about delving into molecular science. Readers highlight the necessity for a solid foundation in advanced mathematics and physics prior to engaging with the text, underscoring its advanced level of complexity. This requirement positions the book as less suitable for casual readers or novices in the field. Nevertheless, those who meet the prerequisites praise the text for its thorough coverage of contemporary advances, integrating crucial developments in artificial intelligence and high-performance computing relevant to the life sciences, notably in the realm of biomedical simulations. Professors and researchers recommend it for its clarity and effectiveness in guiding one’s research, especially in areas like neuroscience. Overall, the reception of this book is highly positive, with many citing its encyclopedic nature and relevance as reasons to include it in their personal and professional libraries. **
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- Comprehensive and up-to-date information on molecular simulation.
- Excellent reference for researchers and graduate students.
- Integrates recent advances in artificial intelligence and high-performance computing.
- Particularly valuable for specialized fields like neuroscience.
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- Advanced prerequisites (mathematics and physics) required for full comprehension.
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UZS 1714144
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- Explains molecular simulation from a chemical-physics and statistical-mechanics perspective
- Highlights how physical concepts are used to develop better algorithms
- Equally relevant for those who develop new code and those who use existing packages
- Illustrates implementation of simulation methods in pseudocodes
- Includes case studies to show practical use of simulation methods
- Provides online access to new data, algorithms, and tutorial slides
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