scholarly journals Design strategy of tunable matching network and prototype verification

2018 ◽  
Vol 54 (25) ◽  
pp. 1425-1426 ◽  
Author(s):  
B. Xiong
Keyword(s):  
Design Strategy ◽  
Matching Network ◽  
Prototype Verification

scholarly journals High efficiency Doherty power amplifier based on asymmetrical matching network

2021 ◽  
Vol 23 (2) ◽  
pp. 910
Author(s):  
Mussa Mabrok ◽  
Zahriladha Zakaria ◽  
Tole Sutikno
Keyword(s):  
Output Power ◽  
Power Amplifier ◽  
Communication Systems ◽  
High Efficiency ◽  
Design Strategy ◽  
Matching Network ◽  
High Data ◽  
Fifth Generation ◽  
Data Rates ◽  
Doherty Power Amplifier

Doherty power amplifier (DPA) with high efficiency at the output power back off is highly demanded for modern wireless communication systems to achieve high data rates and reduce the power consumption and operation costs. This paper presents a new design strategy for enhancing DPA’s back-off efficiency. New design strategy called asymmetrical matching network is used to achieve asymmetric operation, which helps to compensate for the low power delivered by the peaking stage in the conventional DPA. The simulation results showed an enhancement in the back-off efficiency, where the proposed design is able toachieve 46-52% drain efficiency at 8 dB output power back-off while maintains high efficiency of 73-80 % at saturation over the designed bandwidth of 3.4-3.6 GHz. The proposed design is suitable for high efficiency sub-6 GHz fifth-generation wireless applications.<br /><div> </div>

A Recommender System for Inverse Design of Polycarbonates and Polyesters

2020 ◽  
Author(s):  
Nathaniel Park ◽  
Dmitry Yu. Zubarev ◽  
James L. Hedrick ◽  
Vivien Kiyek ◽  
Christiaan Corbet ◽  
...  
Keyword(s):  
Ring Opening ◽  
High Performance ◽  
Recommendation System ◽  
Polymeric Materials ◽  
Monomer Conversion ◽  
Design Strategy ◽  
Ring Opening Polymerization ◽  
Inverse Design ◽  
False Negatives ◽  
Accelerate Development

The convergence of artificial intelligence and machine learning with material science holds significant promise to rapidly accelerate development timelines of new high-performance polymeric materials. Within this context, we report an inverse design strategy for polycarbonate and polyester discovery based on a recommendation system that proposes polymerization experiments that are likely to produce materials with targeted properties. Following recommendations of the system driven by the historical ring-opening polymerization results, we carried out experiments targeting specific ranges of monomer conversion and dispersity of the polymers obtained from cyclic lactones and carbonates. The results of the experiments were in close agreement with the recommendation targets with few false negatives or positives obtained for each class.<br>

Minimalistic Design Approach for Multi-Reactivity against Free Radicals and Metal-Free and Metal-Bound Amyloid-β Peptides: Redox-Based Substitutions of Benzene

2019 ◽  
Author(s):  
Mingeun Kim ◽  
Juhye Kang ◽  
Misun Lee ◽  
Jiyeon Han ◽  
Geewoo Nam ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Free Radicals ◽  
Amyloid Β ◽  
Design Strategy ◽  
Design Approach ◽  
Metal Free

We report a minimalistic redox-based design strategy for engineering compact molecules based on the simplest aromatic framework, benzene, with multi-reactivity against free radicals, metal-free amyloid-β, and metal-bound amyloid-β, implicated in the most common form of dementia, Alzheimer’s disease.

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