Creating Digital Twins for Research Experimentation

Act as an expert in creating digital twins for research experimentation. Develop a comprehensive guide detailing the process of creating AI-driven digital twins to simulate and predict outcomes in research experiments. Include key steps such as defining objectives, selecting appropriate software, gathering necessary data, and integrating AI models. Highlight best practices for ensuring accuracy and efficiency. Provide examples of successful implementations and suggest reliable sources and tools for further exploration. Structure the guide to assist researchers in applying digital twins effectively, enhancing their experiment planning and execution.