output
20042026
most citedComputing knock out strategies in metabolic networks

81 citations

Showing 2025Show all

8 papers · 1 filter

physics.comp-ph2025

Consistent Projection of Langevin Dynamics: Preserving Thermodynamics and Kinetics in Coarse-Grained Models

Vahid Nateghi, Lara Neureither, Selma Moqvist +3

Coarse graining (CG) is an important task for efficient modeling and simulation of complex multi-scale systems, such as the conformational dynamics of biomolecules. This work prese…

math.NA20251 cited

Data-driven balanced truncation for linear systems with quadratic outputs

Reetish Padhi, Ion Victor Gosea, Igor Pontes Duff +1

We develop the framework for a non-intrusive, quadrature-based method for approximate balanced truncation (QuadBT) of linear systems with quadratic outputs, thus extending the appl…

cs.CE20251 cited

Superstructure Optimization with Embedded Neural Networks for Sustainable Aviation Fuel Production

Alexander Klimek, Christoph Plate, Sebastian Sager +2

This study presents a multi-objective optimization framework for sustainable aviation fuel (SAF) production, integrating artificial neural networks (ANNs) within a mixed-integer qu…

math.OC2025

A Model-Free Extremum Seeking Controller with Application to Tracking a Nonlinear Chemical Reaction

Alexander Zuyev, Victoria Grushkovska

In this paper, we develop the extremum-seeking approach to generate admissible trajectories in a neighborhood of a given reference curve in the state space. The cost function of th…

math.OC2025

Frequency-Domain Analysis of the Euler-Bernoulli and Timoshenko Beams with Attached Masses

Alexander Zuyev, Julia Kalosha

This work focuses on the frequency-domain modeling of a control system with a flexible beam and a rigid body. A simply supported beam is equipped with a spring-loaded control actua…

math.NA2025

Second-order AAA algorithms for structured data-driven modeling

Michael S. Ackermann, Ion Victor Gosea, Serkan Gugercin +1

The data-driven modeling of dynamical systems has become an essential tool for the construction of accurate computational models from real-world data. In this process, the inherent…