This project builds the next-generation Python Simulations of Chemistry Framework (PySCF) software platform to make electronic structure simulations faster, more robust, and more accessible to computational scientists across many disciplines. The new cyberinfrastructure will enable researchers to better understand the behavior of complex molecules and materials, which plays a crucial role in advancing energy technologies, catalysis, drug discovery, and quantum materials. By harnessing modern computing architectures such as graphics processing units (GPUs) and developing advanced quantum chemistry algorithms, the project will significantly speed up large-scale quantum simulations while reducing computational cost. The project will also produce user-friendly interfaces, manuals, tutorials, and training materials to support education and workforce development in computational science. As an open-source and extensible platform, the PySCF software will catalyze innovation across a broad research community, including chemistry, physics, materials science, artificial intelligence (AI), and quantum information science. First-principles simulations play an essential role in chemistry and materials research, yet the user adoption of more robust electronic structure methods has been hindered by the lack of open-source, high-performance, and user-friendly software infrastructure. The sustained innovation of new quantum chemistry tools is also often hampered by high code complexity and