Results 271 to 280 of about 1,874,872 (323)

Numerical simulation of a nonlinear hepatitis B virus mathematical model using the Dickson collocation technique. [PDF]

Sci Rep
El-Shenawy A, El-Gamel M, Abouelsaid M.
europepmc   +1 more source

Microring Resonator Dispersion Metrology With Neural Networks

Nanophotonics, Volume 15, Issue 17, 11 September 2026.
We present a machine learning framework for inverse and forward characterization of microring resonators, inferring geometry and material dispersion from sparse spectral data. The approach achieves nanometer‐scale accuracy and > 99% material identification, while reconstructing full dispersion spectra.
Ergun Simsek, Shao‐Chien Ou, Gregory Moille, Kartik Srinivasan   +3 more
wiley   +1 more source

Regularization of electromagnetic scattering problems via the Abel integral transform. [PDF]

Philos Trans A Math Phys Eng Sci
Vinogradova E, Smith P.
europepmc   +1 more source

PARSEC.py: A Python‐Based Real‐Space Kohn–Sham Density Functional Theory Code Accelerated by Machine Learned Charge Density

Journal of Computational Chemistry, Volume 47, Issue 23, September 5, 2026.
PARSEC.py is a Python‐based real‐space Kohn–Sham DFT framework that leverages the Python scientific ecosystem for transparent, modular integration of machine‐learned densities and GPU acceleration. This unified design enables more efficient and scalable first‐principles simulations of large chemical and materials systems. ABSTRACT PARSEC.py is a Python‐
Zeyi Zhang, Carlos Mora Perez, Patrick Kwon, Martin Head‐Gordon, Jin Qian   +4 more
wiley   +1 more source

Robust multi-objective metaheuristic optimization of Cr(III) electrodeposition on 42CrMo4 steel for energy-efficient wear resistance. [PDF]

Sci Rep
Amar T, Selman D, Abdelhamid G.
europepmc   +1 more source

Matrix factorizations for the generalized Charlier and Meixner orthogonal polynomials

Itsaso Fernández‐Irisarri, Manuel Mañas   +1 more
openalex   +1 more source

Fundamental Challenges, Physical Implementations, and Integration Strategies for Ising Machines in Large‐Scale Optimization Tasks

Advanced Electronic Materials, Volume 12, Issue 17, 7 September 2026.
Ising machines are emerging as specialized hardware solvers for computationally hard optimization problems. This review examines five major platforms—digital CMOS, analog CMOS, emerging devices, coherent optics, and quantum systems—highlighting physics‐rooted advantages and shared bottlenecks in scalability and connectivity.
Hyunjun Lee, Joon Pyo Kim, Sanghyeon Kim
wiley   +1 more source

Covariant Approach to the Geometric Dilution of Precision. [PDF]

Sensors (Basel)
Montesinos RS, Ferrando JJ, Morales-Lladosa JA.   +2 more
europepmc   +1 more source

High‐Surface‐Area Carbon Nanotubes‐Copper Composite Foils for Lighter Advanced Anodic Current Collector for Lithium‐Ion Batteries

Advanced Energy and Sustainability Research, Volume 7, Issue 9, September 2026.
A fabrication method was developed produce MWCNTs/copper composite foil meeting industrial requirements for large‐area, thin, and advanced current collectors. The resulting material shows enhanced electrical properties with a decreased density compared to commercial copper foil.
Anthony Valero, Julien Barbe, Elisa Alves Silva, Artenis Bendo, Patrick Grysan, Adrian M. Philippe, Julien Bardon, Emanuele Barborini, Guillaume Lamblin   +8 more
wiley   +1 more source