Explores neuro-symbolic representations for understanding commonsense knowledge and reasoning, emphasizing the challenges and limitations of deep learning in natural language processing.
Explores the historical context of 'material culture' and the relationship between materials and scientific production, emphasizing craftsmanship and practices.
Explores polymer durability, oxidation mechanisms, accelerated aging, activation energy, and stress coupling, with case studies on polyamide 6.6 and the Arrhenius prediction method.