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: 69109 HUF
Availability: InStock

From Prompt Engineering to Solutions in Worked-Out Examples

Szerző: Bernhard Eidel

Nyelv:

Kötés: Kemény kötésű

Kiadó: Springer, Berlin

Elérhetőség: Beszállítói készleten

Küldés 10-13 napon belül

69 109 Ft

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

Információk a könyvről

Szerző

Bernhard Eidel

Nyelv

Angol

Kötés

Könyv - Kemény kötésű

Kiadva

2025

oldal

263

EAN

9783031854699

Enbook ID

47701603

Kiadó

Springer, Berlin

Súly

630

Méretek

155 x 235

Teljes leírás

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

Információk a könyvről

Teljes leírás

Érdekelheti

Azok a vásárlók, akik ezt a könyvet megvásárolták, a következőket is megvásárolták