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Understanding Molecular Simulation: From Algorithms to Applications
86% of respondents would recommend this to a friend
AUD 217
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What Stands Out
Product Details
| 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.
Product Description
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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Pros
- 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.
Cons
- Advanced prerequisites (mathematics and physics) required for full comprehension.
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