Results 61 to 70 of about 1,618,388 (368)
Collaborative Station Learning for Rainfall Forecasting
Cloudbursts and other extreme rainfall events are becoming more frequent and intense, making precise forecasts and disaster preparedness more challenging.
Bagati Sudarsan Patro +1 more
doaj +1 more source
In quantitative structure-property and structure-activity relationships studies, several graph invariants, namely, topological indices have been defined and studied due to their numerous applications in computer networks, biotechnology, and nanochemistry.
Dilshad Alghazzawi +3 more
doaj +1 more source
ProteinCT: An implementation of the protein circuit topology framework
The ability to describe the topology of a folded protein conformation is critically important for functional analysis, protein engineering, and drug design. Circuit topology is a unique topological framework which is widely applicable to protein analysis,
Duane Moes +5 more
doaj +1 more source
Metric characterizations of spherical, and Euclidean buildings
A building is a simplicial complex with a covering by Coxeter complexes (called apartments) satisfying certain combinatorial conditions. A building whose apartments are spherical (respectively Euclidean) Coxeter complexes has a natural piecewise ...
Alexander Lytchak +9 more
core +1 more source
Geometric learning of knot topology
Unambiguous knot classification is a long-standing problem. In this paper, the authors use Machine Learning to classify all knots up to 10 crossings with more than 95% accuracy and also to distinguish knots with multiple identical knot polynomials.
Joseph Lahoud Sleiman +3 more
openaire +3 more sources
Phototrophs evolved light‐harvesting systems adapted for efficient photon capture in habitats enriched in far‐red radiation. A subset of eukaryotic pigment‐binding proteins can absorb far‐red photons via low‐energy chlorophyll states known as red forms.
Antonello Amelii +8 more
wiley +1 more source
Molecular geometric deep learning
Summary: Molecular representation learning plays an important role in molecular property prediction. Existing molecular property prediction models rely on the de facto standard of covalent-bond-based molecular graphs for representing molecular topology ...
Cong Shen, Jiawei Luo, Kelin Xia
doaj +1 more source
Geometric stability of topological lattice phases [PDF]
AbstractThe fractional quantum Hall (FQH) effect illustrates the range of novel phenomena which can arise in a topologically ordered state in the presence of strong interactions. The possibility of realizing FQH-like phases in models with strong lattice effects has attracted intense interest as a more experimentally accessible venue for FQH phenomena ...
Jackson, TS, Möller, Gunnar, Roy, Rahul
openaire +6 more sources
Molecular dynamics simulations are advancing the study of ribonucleic acid (RNA) and RNA‐conjugated molecules. These developments include improvements in force fields, long‐timescale dynamics, and coarse‐grained models, addressing limitations and refining methods.
Kanchan Yadav, Iksoo Jang, Jong Bum Lee
wiley +1 more source
High-Precision Collaborative Relative Navigation Method for Multiple Aircraft Based on Geometric Topology Constraints [PDF]
Multiple aircraft formation has strong multi operation capability, high reliability and high overall efficiency, which is an important direction for the future development of aviation field.
Lu Kewen, Wang Xinlong, Wang Bin
doaj +1 more source

