[download pdf] GPT for Python-Coding in

GPT for Python-Coding in Computational Materials Science and Mechanics: From Prompt Engineering to Solutions in Worked-Out Examples by Bernhard Eidel

• GPT for Python-Coding in Computational Materials Science and Mechanics: From Prompt Engineering to Solutions in Worked-Out Examples
• Bernhard Eidel
• Page: 263
• Format: pdf, ePub, mobi, fb2
• ISBN: 9783031854699
• Publisher: Springer Nature Switzerland

GPT for Python-Coding in Computational Materials Science and Mechanics: From Prompt Engineering to Solutions in Worked-Out Examples

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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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Eidel Bernhard (ed.). GPT for Python-Coding in Computational Materials Science and Mechanics: From Prompt Engineering to Solutions in Worked-Out .
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GPT for Python-Coding in Computational Materials Science and Mechanics: From Prompt Engineering to Solutions in Worked-Out Examples (Studies in Computational .
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computational materials science and mechanics, complemented by numerous fully worked . Alaotsikko From prompt engineering to solutions in worked-out examples.
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GPT for Python-Coding in Computational Materials. von Bernhard .
This book covers all the topics about ChatGPT required to successfully generate Python code to solve problems in computational materials science and .
Gpt for Python-Coding in Computational Materials Science and .
Book . Computational Materials Science and Mechanics: From Prompt Engineering to Solutions in Worked-Out Examples (Studies in Computational Intelligence #1198).
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