315 W, 1.94 μm, Tm:YAP InnoSlab laser

Mao, Yefei; Long, Quan; Gao, Jimeng; Wang, Q C; Gao, Yuan; Wang, L

doi:10.1088/1555-6611/acaecb

Cited by 7 publications

(2 citation statements)

References 19 publications

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“…[49] Nano-gel Nanogels are three-dimensional hydrogel materials in the nanoscale size range formed by cross linked swellable polymer networks with a high capacity to hold water, without actually dissolving into the actually dissolving into the aqueous medium. [50][51]…”

Section: Dendrimermentioning

confidence: 99%

Review of Commercially Available Nano-Drugs and Nano-Delivery Systems: Challenges and Perspectives

Boudovitch,

Sakaya,

Uzundurukan

et al. 2023

Preprint

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Nano-drugs and nano-delivery systems are rapidly evolving, with new strategies emerging in the current practices. The evolution of these technologies began with modifying the chemical structure, progressing to supramolecular ionic complexes, and culminating in elegant ad hoc delivery systems. Nanoparticles have numerous benefits as a carrier system for delivering therapeutic agents to intra-arterial sites. These benefits include their subcellular size, targeted surfaces, good suspensibility, and uniform dispersity, making them an ideal choice for catheter-based delivery. Despite the advancements made in the field of nano-drugs and nano-delivery systems, there are still some hurdles to overcome in terms of their commercial availability.The current review presents an updated summary of recent advancements in nano-drugs and nano-delivery systems, including their commercial availability. We aim to discuss the present challenges and prospects of commercially available nano-drugs and nano-delivery systems. Here, we provide a precise and informative overview of the current state of these technologies and underscore the potential they hold for future developments. Further, we have categorized commercially available modifications, name, parent company and their main applications in nano-drugs.

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Section: Dendrimermentioning

confidence: 99%

Review of Commercially Available Nano-Drugs and Nano-Delivery Systems: Challenges and Perspectives

Boudovitch,

Sakaya,

Uzundurukan

et al. 2023

Preprint

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“…One such model that attempts to perform this task is the Run-to-Run Control model for filtration. Run-to-Run Control is a general process model that was initially considered for semi-conductor manufacturing processes in which silicon wafers are created in batches [5], and has since been used as a successful controlling strategy in a variety of applications, ranging from the control of batch chromatography [10], yeast fermentation [11], and batch polymerization [12].…”

Section: Introductionmentioning

confidence: 99%

Exploration of a Filtration Model Variable Space using Machine Learning

Belding¹,

Hannoun²

2023

Preprint

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Within this paper, a machine learning algorithm is used to investigate the importance of certain setpoints and parameters in the filtration processes of a large-scale water treatment facility. Previously, a model for the filtration process based on Run-to-Run Control was proposed and tested against sample data from the treatment plant, but it was quickly found that such a model was incompatible for successfully computing setpoints of operation which minimize the energy cost of running the filtration systems. The machine learning model described herein is an attempt to elucidate the importance of the available data on the filtration systems and to identify the most important variables that influence the filtration run time.

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