Results 101 to 110 of about 549 (197)

Real-time hemodynamic prediction via control-aware Koopman operator models

Array
Background and objective: Accurate and efficient forecasting of cardiovascular dynamics is critical for the development of digital twins, closed-loop control strategies, and clinical decision support systems. Conventional deep learning approaches provide
Max Haberbusch, Lars Berend Brandt, Martina Aprile, David Lung, Arjan Kuijper, Francesco Moscato   +5 more
doaj   +1 more source

Analyzing the Azorubine (E122) Adsorption Mechanism on Alumina Using Molecular Dynamics Simulation and the Density Functional Theory Approach

ChemistryOpen, Volume 15, Issue 11, November 2026.
Molecular dynamics and density functional theory simulations reveal that azorubine (E122) is strongly chemisorbed onto γ‐Al2O3 (radial distribution function distances <3.5 Å), with form 2 showing the highest adsorption energy (−917.107 kcal/mol). Noncovalent interactions (NCI)/reduced density gradient and HOMO–LUMO analyses identify the active sites ...
Anouar Ameziane El Hassani, Malika Khnifira, Issam Ameziane El Hassani, Mohamed Adadi, Mohammed ALSaeedy, Adil Touimi Benjelloun, Mohamed Abdennouri   +6 more
wiley   +1 more source

Artificial Intelligence–Driven Graph Methods for Microbiome Research: A Systematic Review

WIREs Mechanisms of Disease, Volume 18, Issue 6, November/December 2026.
Multi‐omics and microbiome‐derived datasets were converted into deterministic and probabilistic network representations for downstream classical graph analysis and graph representation learning. This framework enables link prediction, relationship discovery, and node clustering to improve interpretation of complex biological interactions.
Cedrique Shum‐Tim, Paromita Islam, Jacqueline L. Boyajian, Ahmed Abosalha, Amal Kassab, Madison Santos, Kinaan Aamir Khan, Kiri Stern, Amin Emad, Satya Prakash   +9 more
wiley   +1 more source

Deep learning for structure-preserving universal stable Koopman-inspired embeddings for nonlinear canonical Hamiltonian dynamics

Machine Learning: Science and Technology
Discovering a suitable coordinate transformation for nonlinear systems enables the construction of simpler models, facilitating prediction, control, and optimization for complex nonlinear systems.
Pawan Goyal, Süleyman Yıldız, Peter Benner   +2 more
doaj   +1 more source

Equivariance and partial observations in Koopman operator theory for partial differential equations

Journal of Computational Dynamics
The Koopman operator has become an essential tool for data-driven analysis, prediction and control of complex systems. The main reason is the enormous potential of identifying linear function space representations of nonlinear dynamics from measurements. This equally applies to ordinary, stochastic, and partial differential equations (PDEs). Until now,
Peitz, S., Harder, H., Nüske, F. ; https://orcid.org/0000-0003-2444-7889, Philipp, F., Schaller, M., Worthmann, K.   +5 more
openaire   +3 more sources

A Practical Guide to First‐Principles Calculations for Pseudocapacitive Materials: From Electrochemical Experiments to Atomistic Understanding

ChemElectroChem, Volume 13, Issue 20, 16 October 2026.
Electrochemical experiments reveal what happens, whereas first principles calculations explain why. Emerging computational electrochemistry is bridging these perspectives, enabling quantitative understanding of electrode/electrolyte interfaces and enabling the rational design of next‐generation energy storage materials.
Kenji Oqmhula, Ryo Maezono, Kenta Hongo
wiley   +1 more source

Koopman Operator theory applied to Lambert’s problem with a spectral behavior analysis

Acta Astronautica
Lambert’s problem has been long studied in the context of space operations; its solution enables accurate orbit determination and spacecraft guidance. This work presents an approximate-analytical solution to Lambert’s problem using the Koopman Operator (KO).
Julia Pasiecznik, Simone Servadio, Richard Linares   +2 more
openaire   +2 more sources

Data-Driven Voltage Control Method of Active Distribution Networks Based on Koopman Operator Theory

Mathematics
The advent of large-scale distributed generation (DG) has introduced several challenges to the voltage control of active distribution networks (ADNs).
Zhaobin Du, Xiaoke Lin, Guoduan Zhong, Hao Liu, Wenxian Zhao   +4 more
doaj   +1 more source

Robot formation control in nonlinear manifold using Koopman operator theory

Nonlinear Theory and Its Applications, IEICE
Formation control of multi-agent systems has been a prominent research topic, spanning both theoretical and practical domains over the past two decades. Our study delves into the leader-follower framework, addressing two critical, previously overlooked aspects.
Wang, Yanran, Baba, Tatsuya, Hikihara, Takashi   +2 more
openaire   +2 more sources

A Comprehensive Review of Matrix Equations in Dynamical Systems and Control Theory

Journal of Applied Mathematics
Matrix equations are of foundational importance in the modeling, investigation, and control of dynamical systems. This review discusses various classes of matrix equations, their solutions, and their relevance in control theory and dynamical systems. Key
Chacha Stephen Chacha
doaj   +1 more source