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- Дата: 29-05-2025, 18:57
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Автор: Aarav Joshi
Издательство: 101 Books
Год: 2025
Страниц: 1597
Язык: английский
Формат: epub (true)
Размер: 12.3 MB
Deep Learning for Physics Research using Python: A Comprehensive Guide to Modern AI Techniques in Scientific Discovery is the definitive resource for physicists, researchers, and students seeking to harness the transformative power of Artificial Intelligence (AI) in scientific research. This comprehensive guide bridges the gap between cutting-edge Deep Learning methodologies and practical physics applications, providing hands-on implementation using Python and modern frameworks like TensorFlow, PyTorch, and Keras. The book systematically covers 14 essential chapters, from foundational neural network concepts to advanced architectures including Physics-Informed Neural Networks (PINNs), Graph Neural Networks, and Transformer models. Readers will master convolutional networks for detector data analysis, recurrent networks for time series physics, generative models for synthetic data creation, and uncertainty quantification techniques crucial for scientific validity. Each chapter features detailed Python implementations, real-world case studies from particle physics to climate modeling, and practical exercises with downloadable code and datasets.