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Understanding Molecular Simulation: From Algorithms to Applications
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€ 106
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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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Produkto Aprašymas
- 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) |
Who Should Buy?
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Students in Chemistry
Ideal for students seeking a comprehensive understanding of molecular simulations with practical examples and theoretical insights.
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Research Scientists
Beneficial for scientists looking to apply molecular simulation techniques in their research, enhancing their experimental findings.
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Industry Professionals
Useful for professionals in pharmaceuticals and materials science who want to utilize molecular simulations to solve real-world problems.
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Casual Readers
Not suitable for casual readers without a background in chemistry, as it requires prior knowledge to fully understand content.
PRODUKTO APRAŠYMAS
Understanding Molecular Simulation: From Algorithms to Applications
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€ 106
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Savybės ir privalumai
- 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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