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Journal ArticleDOI

Digitally manufactured air plasma-on-water reactor for nitrate production

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TLDR
In this paper , a digitally manufactured air plasma-on-water reactor (POWR) for the synthesis of nitrate as green nitrogen fertilizer is presented, where a machine learning approach is implemented to extract and quantify characteristic features of the plasma-water interaction, such plasma volume and plasma interface area.
Abstract
The sustainable production of food to support the increasing world population is one of humanity’s most pressing challenges. Plasma activated water, produced using renewable energy, can help fulfill plants’ needs in sustainable agriculture approaches. The design, implementation, and characterization of a digitally manufactured air plasma-on-water reactor (POWR) for the synthesis of nitrate as green nitrogen fertilizer is presented. The interaction of air plasma-generated reactive oxygen and nitrogen species with water produces nitrate (NO3 −) and related species, which are the main nitrogen-containing nutrients for plants. The mild conditions of the operation of the POWR opens the possibility to use plastics, particularly through digital manufacturing strategies such as 3D-printing, for its fabrication. A pin-to-plate reactor configuration powered by high-voltage alternating power is chosen due to its simplicity and efficacy. A computational thermal-fluid model is used to evaluate the design and attain expected operational characteristics. The experimental characterization of the POWR encompassed design and operation parameters, namely electrode-water spacing, air flow rate, and voltage level. A machine learning approach is implemented to extract and quantify characteristic features of the plasma–water interaction, such plasma volume and plasma–water interface area. Experimental results revealed that the nitrate production rate varies linearly with dimensionless plasma volume. The design, fabrication, and characterization methods presented can be adapted to other POWRs and help enable on-demand nitrogen fertilizer production at low environmental and economic cost.

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Continuous production for large quantity plasma activated water using multiple plasma device setup

TL;DR: In this paper , a batch and continuous production of plasma-activated water (PAW) is reported, where a multiple plasma device setup is used to produce PAW in a batch-and continuous manner.
Journal ArticleDOI

Using transfer-learning-based algorithms as data reduction strategies for volatile organic compounds classification using plasma spectroscopy

Cheng-Che Hsu
- 11 Apr 2023 - 
TL;DR: In this article , the authors used transfer learning-based algorithms as data reduction strategies for the classification of volatile organic compounds (VOCs) using the optical emission spectroscopy of plasmas.
References
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Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation

TL;DR: This work extends DeepLabv3 by adding a simple yet effective decoder module to refine the segmentation results especially along object boundaries and applies the depthwise separable convolution to both Atrous Spatial Pyramid Pooling and decoder modules, resulting in a faster and stronger encoder-decoder network.
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Non-thermal plasmas in and in contact with liquids

TL;DR: A review of the current status of research on atmospheric pressure non-thermal discharges in and in contact with liquids can be found in this article, where the emphasis is on their generation mechanisms and their physical characteristics.
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TL;DR: In this paper, the authors demonstrate that the Haber-Bosch ammonia synthesis loop can indeed enable a second ammonia revolution as energy vector by replacing the CO2 intensive methane-fed process with hydrogen produced by water splitting using renewable electricity.
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Subject independent facial expression recognition with robust face detection using a convolutional neural network

TL;DR: The proposed algorithm is the first facial expression recognition model with the property of subject independence combined with robustness to variability in facial appearance and demonstrated the ability to discriminate smiling from talking based on the saliency score obtained from voting visual cues.
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