Results 71 to 80 of about 31,295 (230)
Applications of QSPR and Machine Learning in Molecular Photonics
Quantitative structureproperty relationships (QSPR) and machine learning (ML) are transforming photochemistry by enabling pre‐synthetic screening of photoactive molecules. This review outlines advances in data‐driven discovery of optical materials and functional dyes, identifies effective descriptors and models for photophysical processes, and provides
Andrey A. Buglak +2 more
wiley +1 more source
Fractional discrete Laplacian versus discretized fractional Laplacian
25 pages, 13 ...
Ciaurri, Ó. +4 more
openaire +2 more sources
A novel chromatin‐labeling probe is developed to investigate chromatin mobility during differentiation. The silicon rhodamine–conjugated dCTP is efficiently delivered into iPSCs and NSCs using a synthetic transporter. Super‐resolution microscopy and single‐particle tracking show decreased chromatin mobility during differentiation.
Maruthi K. Pabba +11 more
wiley +1 more source
Odometer of long-range sandpiles in the torus: mean behaviour and scaling limits [PDF]
In \cite{Cipriani2016}, the authors proved that with the appropriate rescaling, the odometer of the (nearest neighbours) Divisible Sandpile in the unit torus converges to the bi-Laplacian field.
Chiarini, Leandro +2 more
core +1 more source
Fractional powers and singular perturbations of quantum differential Hamiltonians
We consider the fractional powers of singular (point-like) perturbations of the Laplacian, and the singular perturbations of fractional powers of the Laplacian, and we compare such two constructions focusing on their perturbative structure for resolvents
Michelangeli, Alessandro +2 more
core +1 more source
Here, a microfluidic‐based robotic lab‐on‐a‐chip (LoC) device is presented for automated, continuous‐flow investigation and manipulation of single pollen tube growth under precisely controlled chemical gradients. This closed‐loop system streamlines data collection and analysis while enhancing experimental precision compared to manual methods ...
Jiawei Zhu +10 more
wiley +1 more source
A compressed sensing (CS)‐based feature selection method is proposed to select the most informative elements in the radiomic features extracted from medical images of personalized ultra‐fractionated stereotactic adaptive treatment. The CS‐based approach is able to simplify the feature selection process and enhance the accuracy and robustness of a ...
Yajun Yu +3 more
wiley +1 more source
On the Solvability of Caputo -Fractional Boundary Value Problem Involving -Laplacian Operator
We consider the model of a Caputo -fractional boundary value problem involving -Laplacian operator. By using the Banach contraction mapping principle, we prove that, under some conditions, the suggested model of the Caputo -fractional boundary value ...
Hüseyin Aktuğlu, Mehmet Ali Özarslan
doaj +1 more source
Strong unique continuation for the higher order fractional Laplacian
In this article we study the strong unique continuation property for solutions of higher order (variable coefficient) fractional Schr\"odinger operators.
García-Ferrero, María-Ángeles +1 more
core +1 more source
On the Laplacian and fractional Laplacian in an exterior domain
We see that the generalized Fourier transform due to A.G. Ramm for the case of $n=3$ space dimensions remains valid, with some modifications, for all space dimensions $n\ge 2$. We use the resulting spectral representation of the exterior Laplacian to study exterior problems. In particular the Fourier splitting method developed by M.E.
Kosloff, Leonardo, Schonbek, Tomas
openaire +2 more sources

