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Explores polymer durability, oxidation mechanisms, accelerated aging, activation energy, and stress coupling, with case studies on polyamide 6.6 and the Arrhenius prediction method.
Delves into rule systems, simulations, and parallel worlds, exploring Prolog, backtracking algorithms, logic complexity, the Game of Life simulation, and the concept of Simulats.
Explores environmental computational science and earth observation through accurate deep learning models for monitoring, integrating domain knowledge in species models, and enhancing image search.
Emphasizes methodological principles, the interplay between technical and social aspects, and the significance of different observational perspectives.
Explores chemical reaction prediction using generative models and molecular transformers, emphasizing the importance of molecular language processing and stereochemistry.
