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Neural Networks in Chemical Reaction Dynamics (English, Lionel Raff | Ranga Komanduri | Martin Hagan)
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Specifications
| Publisher | Oxford University Press |
| Language | English |
| ISBN-13 | 9780199765652 |
| ISBN-10 | 0199765650 |
| Author | Lionel Raff | Ranga Komanduri | Martin Hagan |
Product Description
About the Book
This monograph presents recent advances in neural network (NN) approaches and applications to chemical reaction dynamics. Topics covered include: (i) the development of ab initio potential-energy surfaces (PES) for complex multichannel systems using modified novelty sampling and feedforward NNs; (ii) methods for sampling the configuration space of critical importance, such as trajectory and novelty sampling methods and gradient fitting methods; (…
ISBN: 9780199765652
Book Insights
What You'll Learn
- ·In-depth exploration of topics covered in Neural Networks in Chemical Reaction Dynamics
- ·Key concepts explained with clarity and practical examples
- ·Insights valuable for anyone studying or working in Oxford University Press
Who Should Read This
Students and professionals interested in Oxford University Press, as well as general readers looking to expand their knowledge.
Key Highlights
- ·Brand new physical book delivered across India
- ·15-day hassle-free return policy
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Neural Networks in Chemical Reaction Dynamics is available in English on GlowMirror.
Who is the author of Neural Networks in Chemical Reaction Dynamics?
Neural Networks in Chemical Reaction Dynamics is authored by Lionel Raff | Ranga Komanduri | Martin Hagan.
Who published Neural Networks in Chemical Reaction Dynamics?
Neural Networks in Chemical Reaction Dynamics is published by Oxford University Press.
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At an average reading speed of 250 words per minute, reading Neural Networks in Chemical Reaction Dynamics takes a few hours to a few days depending on reading pace.
What is Neural Networks in Chemical Reaction Dynamics about?
About the Book
This monograph presents recent advances in neural network (NN) approaches and applications to chemical reaction dynamics. Topics covered include: (i) the development of ab initio potential-energy surfaces (PES) for complex multichannel systems using modified novelty sampling and fee...
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