most citedA new framework for extracting coarse-grained models from time series with multiscale structure

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math.NA2024

Multi-objective optimization for multi-agent injection strategies in subsurface CO storage

Per Pettersson, Sebastian Krumscheid, Sarah Gasda

We propose a novel framework for optimizing injection strategies in large-scale CO storage combining multi-agent models with multi-objective optimization, and reservoir simulat…

math.NA2024

Structure-Preserving Operator Learning: Modeling the Collision Operator of Kinetic Equations

Jae Yong Lee, Steffen Schotthöfer, Tianbai Xiao +2

This work explores the application of deep operator learning principles to a problem in statistical physics. Specifically, we consider the linear kinetic equation, consisting of a…

math.NA2023

A Fully Parallelized and Budgeted Multi-Level Monte Carlo Method and the Application to Acoustic Waves

Niklas Baumgarten, Sebastian Krumscheid, Christian Wieners

We present a novel variant of the multi-level Monte Carlo method that effectively utilizes a reserved computational budget on a high-performance computing system to minimize the me…