GPT for Python-Coding in Computational Materials Science and Mechanics

Name: GPT for Python-Coding in Computational Materials Science and Mechanics
Brand: Springer, Berlin
SKU: 9783031854699
Price: 994.58 RON
Availability: InStock

From Prompt Engineering to Solutions in Worked-Out Examples

Autor: Bernhard Eidel

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Legare: Copertă tare

Editura: Springer, Berlin

Disponibilitate: În depozitul extern

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This book covers all the topics about ChatGPT required to successfully generate Python code to solve...

Informații despre carte

Autor

Bernhard Eidel

Limbă

engleză

Legare

Carte - Copertă tare

Publicat

2025

Pagini

263

EAN

9783031854699

Enbook ID

47701603

Editura

Springer, Berlin

Greutate

630

Dimensiuni

155 x 235

Descriere completă

This book covers all the topics about ChatGPT required to successfully generate Python code to solve problems in computational materials science and mechanics, complemented by numerous fully worked-out applications. The complete work flow for AI-assisted coding is given, including: (i) prompt engineering providing a powerful toolset for how to give coding assignments to ChatGPT effectively; (ii) commented code listings; and (iii) tips and tricks to verify the codes in rigorous tests including human interventions to fix issues and gaps. Finally, (iv) the coding projects are critically reviewed to address the strengths and remaining weaknesses of the Chatbot, including explicit recommendations on how to communicate with GPT. For the steps (i)-(iv) the book presents a curated selection of intriguing problems from computational materials science and computational mechanics including machine learning for problem-solving. These problems are carefully chosen for their relevance to current research and industrial applications and their suitability for showcasing the advanced capabilities of GPT-4 for code generation. Spanning from predicting material behavior under various conditions to simulating complex mechanical interactions, the problems serve as a canvas on which GPT-4 paints its solutions, demonstrating not just accuracy but creativity in problem-solving. Therefore, the book serves as a valuable primer for both undergraduate and graduate students, as well as a review for research scientists and practicing engineers.

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GPT for Python-Coding in Computational Materials Science and Mechanics

From Prompt Engineering to Solutions in Worked-Out Examples

Informații despre carte

Descriere completă

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