Hello, A yearly allocation for the LCRC cluster has been requested with the following updated information: Submitter/PI: Kibaek Kim Project Name: NEXTGENOPT Division: MCS Project title: Next generation optimization Associated funding: Office of Science Other Systems: Fusion Science: Advances in algorithms for stochastic optimization (SO) and uncertainty quantification (UQ) are critical for the efficient design and real-time optimization of next-generation national infrastructures. Anticipating and mitigating uncertainty of weather, demands, and contingencies in a more integrated environment is necessary to mitigate market volatility and prevent cascading failures that can ultimately lead to catastrophic shortages of supply. The integrated monitoring and optimization of infrastructures systems will generate huge amounts of data that cannot be possibly processed without exploiting underlying probabilistic structures (e.g., sparsity in spatio-temporal correlation patterns) and without exploiting the properties of the particular decision-making objective at hand (e.g., stochastic, PDEs). It is thus at the heart of our current research the philosophy that a structure-oriented and integrated approach to UQ/SO is necessary. Project description: We are developing new scalable decomposition methods for structured mixed-integer programs capable of dealing with design, planning, and operations for complex networks. These problems arise, for instance, from infrastructure design and operations with uncertain parameters such as weather conditions. This requires of a redesign of existing algorithms and modeling environments capable of conveying problem structure fitted to decomposition methods. Problems with millions of discrete variables are being targeted. Industry partnership: Project URL: Current FY Hours Used: undetermined amount New FY Requested allocation: 400000 Q1: 100000 Q2: 100000 Q3: 100000 Q4: 100000 Justification: Storage requirements: Thank You, The LCRC Accounts System