👉 Coating computing is an advanced computational paradigm that leverages the principles of machine learning and artificial intelligence to enhance the design, optimization, and manufacturing processes in various industries, particularly in semiconductor fabrication and materials science. It involves the use of computational models and algorithms to simulate and predict the behavior of physical systems, such as thin film coatings, at the atomic and molecular levels. By training these models on large datasets of experimental and simulation results, coating computing can rapidly identify optimal material compositions, deposition parameters, and process conditions to achieve desired properties, such as improved optical performance, mechanical strength, or thermal stability. This approach significantly reduces the time and cost associated with traditional trial-and-error methods, enabling faster innovation and more efficient production in fields like electronics, optics, and energy technologies.
