Results 161 to 170 of about 516,809 (278)

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

Advanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore, Cristiano Pesce, Antonietta Greco, Claudia Pisante, Greta Avancini, Valentina Di Francesco, Yosi Shamay, Paolo Decuzzi   +7 more
wiley   +1 more source

Descattering and image restoration with a transformer-based neural network in deep tissue imaging. [PDF]

Proc Natl Acad Sci U S A
Xu X, Zhang R, Luo C, Zhang C, Li Y, Lin D, Yu B, Liu L, Weng X, Wang Y, Kong L, Li J, Qu J.   +12 more
europepmc   +1 more source

DNA‐Templated 2D Heterostructures as Phototriggered Dynamic Nanohybrids: From Releasing Molecular Loads to Controlling Enzyme Biocatalytic Function

Advanced Functional Materials, EarlyView.
DNA strands are employed both as dynamic linkers and nanoscale templates for the integration of Ag2S nanoparticles on MoS2, which in turn imparted photothermal responsiveness; this feature permits the selective cargo (fluorophore, quantum dots or an enzyme) release from the MoS2 surface in response to local heat induced by light irradiation.
Kai Chen, Haosen Miao, Weiying Hong, Matteo Palma   +3 more
wiley   +1 more source

From Single Atoms to Nanoparticles: Pathways Toward Efficient and Durable Pt/TiO2 Photocatalysts

Advanced Functional Materials, EarlyView.
Platinum single atoms on TiO2 nanosheets evolve into clusters and nanoparticles under ethanol photoreforming and thermal treatments. By controlling deposition and post‐treatments, particle size and location on specific facets are modulated. The study reveals how stability pathways determine efficiency, guiding the design of more durable photocatalysts.
Juan José Delgado, Enqi Bu, Yaning Han, Carlos López‐Cartes, Mónica Calatayud, Huiyan Pan, Xiaowei Chen   +6 more
wiley   +1 more source

An efficient three-term conjugate gradient algorithm with restart strategy and image restoration. [PDF]

Sci Rep
Wang W, Gao J.
europepmc   +1 more source

Retracted: Digital Image Restoration Based on Multicontour Batch Scanning. [PDF]

Scanning, 2023
Scanning.
europepmc   +1 more source

Atomic‐Scale Light Coupling Control in Ultrathin Photonic Membranes

Advanced Functional Materials, EarlyView.
Ultrathin photonic nanomembranes provide atomic‐scale control over the coupling between incident light and high‐Q photonic modes, enabling angstrom‐level resonance tuning and strong field confinement. When integrated with TMD monolayers, they further yield enhanced light–matter interactions, offering a versatile platform for advancing quantum photonics,
Chih‐Zong Deng, Chun‐Hao Chiang, Sunhao Shi, Jui‐Han Fu, Yen‐Ju Wu, Kuniaki Konishi, Vincent Tung, Chun‐Wei Chen, Ya‐Lun Ho   +8 more
wiley   +1 more source

Two-stage Mamba-based diffusion model for image restoration. [PDF]

Sci Rep
Liu L, Ma L, Wang S, Wang J, Melo SN.
europepmc   +1 more source

An Automatic Pixel-Wise Multi-Penalty Approach to Image Restoration. [PDF]

J Imaging, 2023
Bortolotti V, Landi G, Zama F.
europepmc   +1 more source

Stabilization of Miscible Aqueous Phases via Diffusion‐Controlled Multifunctional Nanoparticle‐Ligand Complexation

Advanced Functional Materials, EarlyView.
This study presents a versatile approach to harnessing miscible aqueous domains, enabling liquid‐in‐liquid compartmentalization using a barrier formed in situ rather than bulk immiscibility. The barrier forms upon the complexation of multifunctional nanoparticles and ligands at the contact boundary of aqueous phases.
Seyyed Alireza Hashemi, Mahyar Panahi‐Sarmad, Ahmadreza Ghaffarkhah, Vahid Rad, Masoud Soroush, Thomas P. Russell, Orlando J. Rojas, Mohammad Arjmand   +7 more
wiley   +1 more source