Le 14/11/2023 par idoumghar :
Internship: Combining Artificial Intelligence Approaches and Metaheuristics to Solve Zeolite Structure Determination Problem
Metaheuristics are a class of optimization algorithms designed to tackle complex problems by providing efficient and adaptable search strategies. Their primary aim is to find near-optimal solutions in a reasonable amount of time, making them invaluable in various domains, including engineering, logistics, finance, and science, where they can address real-world challenges that often involve high computational complexity. One of these computationally complex problems is the zeolite structure determination problem. Zeolites are crystalline microporous materials with a wide range of applications, including catalysis, adsorption, and ion exchange. Understanding and characterizing zeolite structures is crucial for optimizing their performance in various industrial processes. One of the challenges in zeolite research is the determination of their crystal structures, which involves solving complex mathematical optimization problems. This internship proposal aims to design hybrid AI-based metaheuristics and explore their application to efficiently solve zeolite structures, offering innovative solutions to a long-standing problem in materials science.
The primary objectives of this master internship proposal are as follows:
The internship will be organized into the following stages:
Stage 1: Literature Review (1 months)
Stage 2: Algorithm Implementation (3 months)
Stage 3: Comparative Analysis (2 months)
This internship is expected to span 6 months, beginning in 02/2024 and ending in 08/2024.
Mentorship and Resources
The internship will take place within the collaboration between IRIMAS and IS2M, which are two laboratories of Université de Haute Alsace, Mulhouse, France. Access to laboratory facilities, computational resources, and necessary software tools will be provided throughout the internship.
This internship proposal offers an exciting opportunity for a motivated and research-oriented master's student with strong skills in C++ and Python alongside a basic knowledge of optimization and artificial intelligence techniques. The intern is expected to make contributions to the field of materials science by combining the power of AI approaches and metaheuristics to solve the zeolite structure determination problem.
12, Rue des Frères Lumières, 68093, Mulhouse, FRANCE.