Results 131 to 140 of about 1,252,117 (301)

On the Aromaticity in Cyclic H‐Bonded Chains: Linking HOMIA Descriptor to Molecular Properties

ChemistrySelect, Volume 11, Issue 5, 5 February 2026.
ABSTRACT Aromaticity is a central concept in organic chemistry to explain the high stability of conjugated rings. This study extends this concept to cyclic hydrogen‐bonded (H‐bonded) chains by introducing a modified descriptor, the harmonic oscillator model of intermolecular aromaticity (HOMIA), to quantify aromaticity in cyclic H‐bonded chains of HCN,
Murillo H. Queiroz, Suelen A. Santos, Tiago V. Alves, Roberto Rivelino   +3 more
wiley   +1 more source

Two‐Step Clustering‐Based Equivalent Modeling of Large‐Scale Wind Farms for Enhanced Primary Frequency Regulation

Wind Energy, Volume 29, Issue 2, February 2026.
ABSTRACT The focus on wind power frequency regulation has largely been on individual wind farms, which presents challenges in meeting the coordinated operation needs of multiple stations within large‐scale installations. To address issues of model simplification and accuracy, we propose a large‐scale wind farm equivalent modeling method based on ...
Hongchun Shu, Liuqing Zhu, Botao Shi, Guangxue Wang, Shunguang Lei   +4 more
wiley   +1 more source

Topology of real algebraic curves near the non-singular tropical limit [PDF]

, 2021
Cédric Le Texier
openalex  

Learning Wave Scattering Properties From Seismograms

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 1, February 2026.
Abstract Heterogeneities in the Earth's crust scatter seismic waves at many scales, trapping seismic energy and producing coda waves that encode valuable information on geological structures. In regions such as volcanoes and fault systems, analyzing coda waves is essential for characterizing non‐uniform subsurface heterogeneity, improving ...
Reza Esfahani, Mirko Bracale, Léonard Seydoux, Michel Campillo   +3 more
wiley   +1 more source

Differentiable River Routing for End‐to‐End Learning of Hydrological Processes

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 1, February 2026.
Abstract Deep Learning (DL) approaches have shown high accuracy in rainfall runoff modeling. Currently, however, large‐scale DL hydrological simulations at national and global scales still rely on external routing schemes to propagate runoff outputs through river networks, preventing them from leveraging the benefits of end‐to‐end learning of ...
Tristan Hascoet, Victor Pellet, Satoru Oishi, Takemasa Miyoshi   +3 more
wiley   +1 more source

Optimizing Total Suspended Solids Mitigation in a Data‐Limited Watershed: A Network‐Based Advection–Reaction Model Applied to the Canal del Dique, Colombia

Water Resources Research, Volume 62, Issue 2, February 2026.
Abstract Total Suspended Solids (TSS) significantly degrade water quality by reducing light penetration and oxygen availability, while facilitating the transport of toxic contaminants. Managing TSS in watersheds requires an understanding of both hydrological connectivity and pollutant dynamics; however, these efforts are significantly constrained by ...
Jesus Guzmán Pérez, Javier Montoya Martinez, David Angulo‐Garcia   +2 more
wiley   +1 more source

Incorporating Topological Priors Into Low-Dimensional Visualizations Through Topological Regularization

IEEE Access
Unsupervised representation learning techniques are commonly employed to analyze high-dimensional or unstructured data. In some cases, users may have prior knowledge of the topology of the data, such as a known cluster structure or the fact that it ...
Edith Heiter, Robin Vandaele, Tijl de Bie, Yvan Saeys, Jefrey Lijffijt   +4 more
doaj   +1 more source

Computational Geometric and Algebraic Topology

, 2016
Benjamin A. Burton, Herbert Edelsbrunner, Jeff Erickson, Stephan Tillmann   +3 more
openalex   +2 more sources

Algebraic Topology of Manifolds [PDF]

, 2006
Renee Hoekzema, Tillmann, M Atiyah, R Bott, A Shapiro, John Baez, M Bkstedt, I Madsen, E Brown, F Peterson, F Cantero Morn, M Palmer, F Cantero Morn, O Randal-Williams, C Douglas, A Henriques, M Hill, A Dold, J Genauer, S Galatius, I Madsen, U Tillmann, M Weiss, S Galatius, O Randal-Williams, S Galatius, O Randal-Williams, S Galatius, O Randal-Williams, S Galatius, O Randal-Williams, Y Huang, N Leung, R Hoekzema, K Ishitoya, L Kennard, Z Su, J Lee, E Lucas, J Lurie, W Massey, C Mantegazza, A Mennucci, M Monera, A Montesinos-Amilibia, E Sanabria-Codesal, J Milnor, J Stasheff, M Nakagawa, S Ochanine, N Perlmutter, O Randal-Williams, R Stong, Hirosi Toda, Takashi Watanabe   +54 more
openalex   +1 more source

Modal Analysis of Water Distribution Systems With the Elastic Water Column Model

Water Resources Research, Volume 62, Issue 2, February 2026.
Abstract This paper presents a modal and participation factor (PF) analysis of water distribution systems (WDSs) using the elastic water column model (EWCM). Modal analysis, widely used in other engineering fields, is adapted here to characterize the dynamic behavior of WDSs under transient conditions. By linearizing the EWCM around an operating point,
Morteza Imani, Wei Zeng, Aaron Zecchin, Martin F. Lambert   +3 more
wiley   +1 more source