Results 231 to 240 of about 497,884 (333)

<i>pyDiSCaMB</i>: enabling the use of multipolar scattering factors in <i>Phenix</i>. [PDF]

J Appl Crystallogr
Femoen VJ, Pacoste L, Chodkiewicz ML, Afonine PV, Poon BK, Kulik M, Golon Ł, Moriarty NW, Adams PD, Hofer G, Dominiak PM, Liebschner D, Zou X.   +12 more
europepmc   +1 more source

ChatCFD: A Large Language Model‐Driven Agent for End‐to‐End Computational Fluid Dynamics Automation with Structured Knowledge and Reasoning

Advanced Intelligent Discovery, EarlyView.
Chat computational fluid dynamics (CFD) introduces an large language model (LLM)‐driven agent that automates OpenFOAM simulations end‐to‐end, attaining 82.1% execution success and 68.12% physical fidelity across 315 benchmarks—far surpassing prior systems.
E Fan, Kang Hu, Zhuowen Wu, Jiangyang Ge, Jiawei Miao, Yuzhi Zhang, He Sun, Weizong Wang, Tianhan Zhang   +8 more
wiley   +1 more source

SamplingDesign: RNA design via continuous optimization with coupled variables and Monte-Carlo sampling. [PDF]

Nat Commun
Tang WY, Dai N, Zhou T, Mathews DH, Huang L.   +4 more
europepmc   +1 more source

A Unifying Approach to Self‐Organizing Systems Interacting via Conservation Laws

Advanced Intelligent Discovery, EarlyView.
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, G. Zhang, S. Anand, Z. Chen, J. Lin, A. Desai, S. Martiniani, F. Caravelli   +7 more
wiley   +1 more source

Beyond metaphor: quantitative reconstruction of Waddington landscape and exploration of cellular behavior. [PDF]

Brief Bioinform
Han Y, Chen B, Zhang J, Shang X.
europepmc   +1 more source

Gaussian Process Regression–Neural Network Hybrid with Optimized Redundant Coordinates: A New Simple Yet Potent Tool for Scientist's Machine Learning Toolbox

Advanced Intelligent Discovery, EarlyView.
A machine learning method, opt‐GPRNN, is presented that combines the advantages of neural networks and kernel regressions. It is based on additive GPR in optimized redundant coordinates and allows building a representation of the target with a small number of terms while avoiding overfitting when the number of terms is larger than optimal.
Sergei Manzhos, Manabu Ihara
wiley   +1 more source

A comprehensive analysis of brain network complexity in task-based fMRI using entropy: systematic review. [PDF]

Brain Imaging Behav
Park J, Xu N, Nezafati M.
europepmc   +1 more source

Parameterization of Vertical Mixing in Numerical Models of Tropical Oceans

, 1981
R. Pacanowski, S. Philander
semanticscholar   +1 more source

Cell Segmentation Beyond 2D—A Review of the State‐of‐the‐Art

Advanced Intelligent Discovery, EarlyView.
Cell segmentation underpins many biological image analysis tasks, yet most deep learning methods remain limited to 2D despite the inherently 3D nature of cellular processes. This review surveys segmentation approaches beyond 2D, comparing 2.5D and fully 3D methods, analyzing 31 models and 32 volumetric datasets, and introducing a unified reference ...
Fabian Schmeisser, Haseeb Muhammad, Junaid Younas, Gillian Lovell, Bianca Migliori, Andreas Dengel, Sheraz Ahmed   +6 more
wiley   +1 more source

Reducing Complexity in Muscle-Tendon Kinematics Parameterization Improves Convergence Speed in Musculoskeletal Simulations. [PDF]

Int J Numer Method Biomed Eng
Harba M, Badia J, Serrancolí G.
europepmc   +1 more source