Mission The Computational Sciences Department (CSD) drives scientific discovery through advanced computing, artificial intelligence (AI), and applied mathematics. By developing innovative algorithms, predictive models, and high-performance computing solutions with public and private partners, CSD tackles complex scientific challenges in plasma physics. Our Vision CSD aims to transform the computational landscape in plasma physics, using applied mathematics and high-performance computing to accelerate commercial fusion timelines. Through collaborations and partnerships, the department is also advancing the field globally. Leadership Shantenu Jha Head of Computational Sciences Ammar Hakim Deputy Head - Computational Sciences Department Stéphane Ethier Principal Computational Physicist Derrick Rose Department Administrator Meet The team AI For Science The AI For Science Group harnesses the transformative potential of artificial intelligence (AI) to advance scientific research. The group aims to accelerate discoveries, enhance data analysis and develop innovative solutions to complex problems by integrating AI into scientific workflows. This interdisciplinary initiative opens new avenues across domains beyond fusion and plasma physics, including materials science, electromanufacturing, and aerosol science. The group enables advances in computer science, data science, and translational research across these areas. Our expertise includes:Developing sophisticated algorithms, enhancing machine learning techniques, and ensuring seamless integration of AI tools into existing scientific frameworks;Applying these advances for predictive modeling, data-driven hypothesis generation, and automation of experimental design;Delivering and tailoring these capabilities and AI solutions to address specific scientific challenges end-to-end and at scale. Computational Partnerships and Technologies The Computational Partnerships and Technologies group consists of multidisciplinary scientists who advance computational methods and architectures to domain applications. This involves creating new ways to simulate and analyze data, as well as improving the systems — such as supercomputers and specialized software — that make advanced computing possible. Expertise in implementing new numerical methods, high-performance computing, performance optimization using software engineering best practices, and new architectures are applied to experimental and computational projects. The team collaborates with computational scientists at universities, other Department of Energy (DOE) Labs, and private companies to use our methods to produce problems and applications. Applied and Computational Mathematics The Applied and Computational Mathematics (ACM) group develops mathematical descriptions, models, and algorithms to describe complex systems often involving a range of time and/or spatial scales. The group's core focus is to design new algorithms for multiscale, multi-physics problems that are of interest across the DOE complex and elsewhere. Events Jun 18 Polymathic AI: Building Multidisciplinary Foundation Models for Science Jul 10 Simulated Inside & Out: The Milky Way and Its Neighbors at Unprecedented Resolution View All Events News New computer code could lead to simpler, less costly stellarators for fusion power Innovative fusion computer program receives national achievement award Updating the way the Lab computes PPPL launches project to build the Princeton Plasma Innovation Center: a state-of-the-art office and laboratory building View All News Quick Links Administrative Forms In order to process requests from CSD team members as efficiently as possible kindly submit requests using the buttons below. Leave Notification FORM Purchase Request FORM SITE ACCESS REQUEST FORM FOREIGN NATIONAL ACCESS FORM FOREIGN TRAVEL REQUEST FORM CSD PUBLICATIONS. CSD COntributions Accessing Computing Devices STELLAR FORM RUNNING ANSYS JOBS PPPL CLUSTER
