Results 201 to 210 of about 2,049 (250)
This paper presents a computer vision (deep learning) pipeline integrating YOLOv8 and YOLOv9 for automated detection, segmentation, and analysis of rosette cellulose synthase complexes in freeze‐fracture electron microscopy images. The study explores curated dataset expansion for model improvement and highlights pipeline accuracy, speed ...
Siri Mudunuri +6 more
wiley +1 more source
Integrated Optomechanical Analysis of the Impact of an Ø 800 mm Primary Mirror on the Imaging Quality of an Optical System. [PDF]
Liu R, Zhang Y, Liu Y, Li Q.
europepmc +1 more source
In this work, the Doubao large language model (LLM) is involved in the formula derivation processes for Hubbard U determination regarding the second‐order perturbations of the chemical potential. The core ML tool is optimized for physical domain knowledge, which is not limited to parameter prediction but rather serves as an interactive physical theory ...
Mingzi Sun +8 more
wiley +1 more source
Anatomical-connectivity-guided functional connectivity reveals task-relevant pathways during proactive task-switching via recurrent graph neural networks. [PDF]
Wang S +6 more
europepmc +1 more source
A Unifying Approach to Self‐Organizing Systems Interacting via Conservation Laws
The article develops a unified way to model and analyze self‐organizing systems whose interactions are constrained by conservation laws. It represents physical/biological/engineered networks as graphs and builds projection operators (from incidence/cycle structure) that enforce those constraints and decompose network variables into constrained versus ...
F. Barrows +7 more
wiley +1 more source
Riemannian Newton Methods for Energy Minimization Problems of Kohn-Sham Type. [PDF]
Altmann R, Peterseim D, Stykel T.
europepmc +1 more source
Harnessing Machine Learning to Understand and Design Disordered Solids
This review maps the dynamic evolution of machine learning in disordered solids, from structural representations to generative modeling. It explores how deep learning and model explainability transform property prediction into profound physical insight.
Muchen Wang, Yue Fan
wiley +1 more source
A lightweight dual-stream architecture for flow enhanced anomaly detection (FEAD). [PDF]
Yin C, Zhang Y, Qi C.
europepmc +1 more source
A New Definition of Peridynamic Damage for Thermo-Mechanical Fracture in Brittle Materials. [PDF]
Tao S, Han F.
europepmc +1 more source

