7 citations · 11 across the 8 of their papers we have counts for
8 papers
Approximate Dynamic Programming for Degradation-aware Market Participation of Battery Energy Storage Systems: Bridging Market and Degradation Timescales
Flemming Holtorf, Sungho Shin
We present an approximate dynamic programming framework for designing degradation-aware market participation policies for battery energy storage systems. The approach employs a tai…
Agentic AI for Scalable and Robust Optical Systems Control
Zehao Wang, Mingzhe Han, Wei Cheng +12
We present AgentOptics, an agentic AI framework for high-fidelity, autonomous optical system control built on the Model Context Protocol (MCP). AgentOptics interprets natural langu…
Phase Transitions in the Output Distribution of Large Language Models
Julian Arnold, Flemming Holtorf, Frank Schäfer +1
In a physical system, changing parameters such as temperature can induce a phase transition: an abrupt change from one state of matter to another. Analogous phenomena have recently…
NonlinearSolve.jl: High-Performance and Robust Solvers for Systems of Nonlinear Equations in Julia
Avik Pal, Flemming Holtorf, Axel Larsson +6
Efficiently solving nonlinear equations underpins numerous scientific and engineering disciplines, yet scaling these solutions for challenging system models remains a challenge. Th…
Machine learning phase transitions: Connections to the Fisher information
Julian Arnold, Niels Lörch, Flemming Holtorf +1
Despite the widespread use and success of machine-learning techniques for detecting phase transitions from data, their working principle and fundamental limits remain elusive. Here…
Performance Bounds for Quantum Feedback Control
Flemming Holtorf, Frank Schäfer, Julian Arnold +2
The limits of quantum feedback control have immediate consequences for quantum information science at large, yet remain largely unexplored. Here, we combine quantum filtering theor…
Stochastic Optimal Control via Local Occupation Measures
Flemming Holtorf, Alan Edelman, Christopher Rackauckas
Viewing stochastic processes through the lens of occupation measures has proved to be a powerful angle of attack for the theoretical and computational analysis of stochastic optima…
Tighter bounds on transient moments of stochastic chemical systems
Flemming Holtorf, Paul I. Barton
The use of approximate solution techniques for the Chemical Master Equation is common practice for the analysis of stochastic chemical systems. Despite their widespread use, howeve…