Daniel Walsh

This document outlines the proposed long-range operations schedule for APS for Fiscal Year 2026. It details planned activities including user operations in standard and timing modes, machine studies, and maintenance periods, along with a breakdown of user shifts. The schedule spans from September 2025 through April 2026.

This document outlines Argonne National Laboratory's strategic vision to transform research through autonomous discovery, integrating artificial intelligence and robotics to enhance efficiency and accelerate scientific breakthroughs. Key initiatives include the development and utilization of Robotic Autonomous Platforms for Innovative Discovery (RAPID), comprising specialized labs such as RAPID-200 for chemistry and materials, RAPID-350 for biosciences, and RAPID-446 for protein design, along with a Rapid Prototyping Lab. The plan aims to shorten the scientific problem-solving cycle, reduce costs, ensure unbiased data collection, and envisions the establishment of a national facility to address diverse challenges across physical and biosciences.

The strategic plan for the Center for Nanoscale Materials (CNM) outlines its direction to remain a world-leading research center by impacting U.S. science and technology priorities. It focuses on five cross-cutting scientific themes: Quantum Coherence by Design, AI/ML-Accelerated Analytics and Automation, Ultrafast Dynamics and Nonequilibrium Processes, Interfaces, Assembly, and Fabrication for Emergent Properties, and Nanoscale Discovery for Energy. The plan aims to achieve advances in microelectronics, artificial intelligence/machine learning, quantum information science, and energy security, leveraging advanced facilities, expert staff, and a strong user community.

The 2019 APS Accelerator Systems Strategic Plan outlines the strategic direction for the Advanced Photon Source (APS) accelerator complex. It focuses on maintaining high reliability and beam quality, preparing the accelerator systems and staff for the APS Upgrade (APS-U) involving a new storage ring, and pursuing research in accelerator science and technology. Key areas include advancements in magnetic devices, radio-frequency systems, power supplies, beam diagnostics, and accelerator operations, alongside dedicated R&D for next-generation light sources such as superconducting undulators and X-ray Free Electron Lasers. The plan aims to achieve a dramatic increase in x-ray brightness and sustain U.S. leadership in accelerator science.

This document outlines the U.S. Department of Energy's Argonne National Laboratory's 10-year Water + AI strategy, aiming to secure America's water resources and foster economic growth through scientific and engineering solutions empowered by artificial intelligence. The strategy is built upon three core elements: developing a fundamental knowledge base across six focus areas (materials, selective separation, sensors and controls, AI/ML modeling, manufacturing, and comprehensive analysis), creating enabling technologies in these areas, and integrating them into intelligent water-related systems for treatment, distribution, energy production, and resource management.