مقالات انگلیسی

This article explores the groundbreaking intersection of classical chemistry, Einstein's theory of relativity, and modern artificial intelligence (AI). It investigates the possibility of whether the foundational principle of chemical equilibrium—Le Chatelier's Principle—remains consistent under relativistic conditions such as high velocities or strong gravitational fields. Using AI-driven simulations and physics-informed models, we propose a theoretical framework for extending classical thermodynamic laws into the relativistic domain, offering a novel perspective on chemistry in extreme environments such as space, near black holes, or in high-energy particle collisions

In today’s competitive landscape, companies in the polymer industry must seek ways to reduce costs, enhance productivity, and improve product quality. One effective approach is integrating the Pareto Principle with Artificial Intelligence (AI).This article explores how these two concepts contribute to improved polymer manufacturing. Additionally, we show case real-world companies that have successfully implemented these strategies

Artificial intelligence plays a crucial role in quality sciences, helping to improve quality control processes, predict defects, and enhance the efficiency of quality management systems. In this article, we explore the role of AI in quality sciences.