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leveraging generative neural networks for accurate diverse a

Nanoscale Advances· December 9, 2024

Leveraging generative neural networks for accurate, diverse, and robust nanoparticle design

Tandem neural networks for inverse design can only make single predictions, which limits the diversity of predicted structures. Here, we use conditional variational autoencoder (cVAE) for the inverse design of core–shell nanoparticles.…

low cost and easy to fabricate microwave sensor for sensitiv

IEEE Journal of Electromagnetics, RF and Microwaves in Medicine and Biology· October 13, 2024

Low-Cost and Easy-to-Fabricate Microwave Sensor for Sensitive Glucose Monitoring: A Step Towards Continuous Glucose Monitoring

Basal-bolus insulin therapy is associated with frequent injections, dosing errors, and hypoglycemia risks. Integrating continuous glucose monitoring (CGM) with insulin pumps offers several advantages. However, current CGM systems lack accuracy and have…

our nanoscale paper is out congratulations tasnia jahan

Nanoscale· August 22, 2024

Deep learning-driven forward and inverse design of nanophotonic nanohole arrays: streamlining design for tailored optical functionalities and enhancing accessibility

In nanophotonics, nanohole arrays (NHAs) are periodic arrangements of nanoscale apertures in thin films that provide diverse optical functionalities essential for various applications. Fully studying NHAs’ optical properties and optimizing performance demands…

nanopriming and ai for sustainable agriculture boosting seed

ACS Applied Nano Materials· April 12, 2024

Nanopriming and AI for Sustainable Agriculture: Boosting Seed Germination and Seedling Growth with Engineered Nanomaterials, and Smart Monitoring through Deep Learning

Sustainable agriculture, essential for global food security, calls for innovative methods to improve crop yields and conserve resources. Nanopriming, utilizing nanoparticles to enhance seed germination and growth, builds preresistance to diseases and…

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