Results 231 to 240 of about 1,879,580 (356)
Inspired by natural light‐harvesting systems, this study computationally investigates a synthetic antenna by arranging cationic free‐base porphyrin molecules on an anionic clay surface. Using a multiscale quantum mechanics/molecular mechanics (QM/MM) approach combined with a multifidelity machine learning method, excitation energies are predicted ...
Dongyu Lyu +7 more
wiley +1 more source
The random noise modulations on the nonlinear Chiral Schrödinger structures. [PDF]
Alhazmi H +3 more
europepmc +1 more source
Toward a Universal Czochralski Growth Model Leveraging Data‐Driven Techniques
This data‐driven study investigates Czochralski growth using Decision Trees, Symbolic Regression, ANN, and SHAP to assess the impact of 21 process and design parameters on crystal quality. Trained on 632 CFD simulation datasets across four crystalline materials, it demonstrates the feasibility of a universal Cz model applicable to various ...
Natasha Dropka +4 more
wiley +1 more source
Optical soliton solutions of the stochastic generalized nonlinear Schrödinger equation with arbitrary refractive index in Itô sense. [PDF]
Trouba NT +6 more
europepmc +1 more source
A rapid, portable lateral flow strip assay for on‐site mRNA quality control is developed, enabling sequence‐independent analysis of 5' capping, integrity, and LNPs encapsulation efficiency. This cost‐effective method offers real‐time stability monitoring, reduced sample requirements, and comparable accuracy to standard techniques, enhancing ...
Dengwang Luo +9 more
wiley +1 more source
Noise effects on soliton structures of nonlinear Schrödinger equation with generalized Kudryashov's law non-linearity using modified extended mapping technique. [PDF]
Mshary N, Bossly R, Ahmed HM.
europepmc +1 more source
Stochastic effects at ripple formation processes in anisotropic systems with multiplicative noise [PDF]
Dmitrii O. Kharchenko +3 more
openalex +1 more source
CellPhenoX is an explainable machine learning framework that identifies cell‐specific phenotypes and interaction effects from single‐cell omics data. By leveraging interpretable models, it enables robust discovery of cell‐level phenotypes that contribute to clinical outcomes.
Jade Young +4 more
wiley +1 more source
Comprehensive study of stochastic soliton solutions in nonlinear models with application to the Davey Stewartson equations. [PDF]
Madani YA +5 more
europepmc +1 more source

