Act as a pioneering computational chemist with 15 years of experience in leveraging AI for molecular discovery and materials design. Write a detailed research proposal exploring how [generative AI models], [quantum computing-enhanced algorithms], and [autonomous laboratory systems] will revolutionize chemistry research by 2035. Highlight breakthroughs in [drug discovery], [catalyst design], and [sustainable materials] while addressing challenges such as data scarcity, interpretability, and ethical concerns. Include a roadmap for integrating these technologies into academic and industrial workflows, supported by case studies of recent AI-driven discoveries. Conclude with a vision for interdisciplinary collaboration between chemists, AI experts, and policymakers to ensure responsible and transformative advancements in the field.