Results 181 to 190 of about 230,209 (328)

Predicting Fiber Length Characteristics of Recycled Cotton and Cellulose Fiber Blends Using Machine Learning Models

Advanced Theory and Simulations, EarlyView.
This study explores machine learning‐driven prediction of fiber length characteristics in sustainable yarn blends made from recycled cotton and Lyocell. By analyzing empirical data through models like Random Forest and Gradient Boosting, and interpreting results with SHAP, key fiber length features from the Staple Diagram and Fibrogram are identified ...
Tuser Tirtha Biswas, Michael Will, Nawar Kadi   +2 more
wiley   +1 more source

Collocation method for solving fractional reaction-diffusion problem arising in chemistry. [PDF]

Sci Rep
Rashidinia J, Momeni A.
europepmc   +1 more source

Assessment and Comparative Study of Free and Commercial Numerical Software Packages for Lithium‐Ion Battery Modeling

Advanced Theory and Simulations, EarlyView.
This study evaluates the simulation capabilities of lithium‐ion battery (LIB) electrochemical simulation software packages. The benchmark simulation results reveal the impacts of parameter sensitivity to solver performance and stability. The guidelines to troubleshooting common solver failures at high current rates lowers the steep learning curve to ...
Kenneth C. Nwanoro, Michael P. Mercer, Harry E. Hoster   +2 more
wiley   +1 more source

Accounting for instrument resolution in the pair distribution functions obtained from total scattering data using Hermite functions. [PDF]

J Appl Crystallogr
Wang S, Gao M, Qin Y, Zhang S, Tan L, Dove MT.   +5 more
europepmc   +1 more source

Polynomial Solutions to Difference Equations Connected to Painleve' II-VI

, 2002
Gert Almkvist
openalex   +2 more sources

Energy Symmetry Breaking of Dirac and Weyl Fermions in Magnetized Spinning Conical Geometries

Advanced Theory and Simulations, EarlyView.
Exact solutions for relativistic fermions in magnetized, spinning conical geometries reveal defect‐induced symmetry breaking between fermion and antifermion energies. Energy levels depend on the magnetic field, background geometry, and fractionalized spin. When the defect's spin dominates, quantum effects diminish.
Abdullah Guvendi, Omar Mustafa
wiley   +1 more source

A Sparse Hierarchical <i>hp</i>-Finite Element Method on Disks and Annuli. [PDF]

J Sci Comput
Papadopoulos IPA, Olver S.
europepmc   +1 more source

Difference equations for some orthogonal polynomials [PDF]

Pacific Journal of Mathematics, 1969
Krall, H. L., Sheffer, I. M.
openaire   +3 more sources

Leveraging Transfer Learning to Overcome Data Limitations in Czochralski Crystal Growth

Advanced Theory and Simulations, EarlyView.
A data‐driven framework combining Computational Fluid Dynamics (CFD) simulations and machine learning is proposed to model and optimize Czochralski crystal growth. Using different transfer learning strategies (Warm Start, Merged Training, and Hyperparameter Transfer) the study demonstrates improved predictions for Ge and GaAs growth from Si‐trained ...
Milena Petkovic, Natasha Dropka, Xia Tang, Janina Zittel   +3 more
wiley   +1 more source

A novel spectral transformation technique based on special functions for improved chest X-ray image classification. [PDF]

PLoS One
Aljohani A.
europepmc   +1 more source