Report: Fuel Cell, Thermoset, and Neuromorphic Tech

This research paper analyzes three emerging technologies: fuel cell vehicles, recyclable thermoset plastics, and neuromorphic technology. Fuel cell vehicles, powered by hydrogen, offer zero emissions and are becoming more cost-effective. Recyclable thermoset plastics aim to reduce landfill waste by enabling the reuse of these durable materials. Neuromorphic technology, which mimics the human brain, promises advancements in computing power and machine learning. The paper discusses the characteristics, potential, and advancements of each technology, highlighting their impacts on sustainability, computing, and modern applications. The paper also references several sources to support the findings.

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Research Paper Stage 2
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Title: Description of different emerging technologies
The research paper is based on analyzing the three emerging technologies such as fuel
cell vehicles, recyclable thermoset plastics as well as neuromorphic technology. A fuel cell
vehicle is such a technology where zero emission cars run on the hydrogen. This proposed
technology is powered by the fuel cell or the combination of the super capacitor. The electricity
is being generated in fuel cells by means of compressed hydrogen and oxygen present in the air.
Miotti, Hofer and Bauer discussed that the technology started to attain phase where the
automotive companies are being setting up for launching for the customers (96). Turkmen,
Solmaz and Celik argued that the initial prices of this technology is ranging from $70,000 while
it can significantly down as the volume is being increased in subsequently couple of years
(1067). The vehicles are hybrid as it can deploy regenerative braking which has ability to
increase efficiency in addition to range. Hames et al. pointed that the vehicles burning hydrogen
will have zero emission as it is considered as key significant factor for reducing the air pollution
(10817). Ambrose et al. illustrated that mass market fuel cell vehicles are good-looking view as
it can present with variety as well as fuel convenience for diesel as well as petrol powered
vehicle (9130). The technology is provided with sustainability benefits into transportation.
A recyclable thermoset plastic is a kind of plastic for cutting the landfill waste. The
plastics are to be separated into thermoplastics as well as thermoset plastics. Garcia and
Robertson stated that because of durability, the thermoset plastics are being vital to the modern
world (871). The thermoset polymers are ending up as the landfill. The thermoplastics are
recyclable as it is melted down as well as reshaped. The thermoset plastics are heated as well as
shaped at one time, after the molecular changes are meant that it is cured, retained shape plus

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strength even it is subject to intense heat plus pressure. The characteristics of recyclable
thermoset plastic made essential into the modern manufacturing as it can create not possible for
recyclable. Feng, Zhao and Xu argued that based on sustainability objective, it is required
recyclability into the thermoset plastics. In the year 2014, critical advances are to be made in this
particular area where finding of the innovative classes of the thermosetting polymers are to be
recyclable. Called as poly-hexahydrotriazine or PHT, it is being dissolved into strong acid,
broken apart polymer chains in constituent monomers which can reassemble in innovative goods.
Like the traditional unrecyclable thermoset, innovative structures are being inflexible, opposed to
the warmth with similar probable applications as unrecyclable forerunners. Turkmen, Solmaz
and Celik argued that no recycling is considered as 100% efficient, while the innovation is
deployed should speed up towards the circular economical with huge reduction of the landfill
wastage from the plastics (1069). It is predictable that the recyclable thermoset polymers are
replaced with unrecyclable thermoset in next five years furthermore everywhere in recently
manufactured supplies by the year 2025.
Neuromorphic technology is technologies where the computer chips are impersonate the
human brain. Rajendran and Alibart discussed that the supercomputers are not rival with the
superiority of human brain. The computers are linear, moved the data back plus forth among the
memory chips in addition to innermost processor. Schuman et al. argued that neuromorphic chips
are aimed for processing information in various ways from the traditional hardware. It is
mimicking with the architecture of brain for delivering huge increase into the computer thinking
plus responding the power. In contrast, the neuromorphic chips are more energy effective as well
as powerful. It is combined with storage of data as well as components of data processing in
similar interconnected modules. Sengupta, Ankit and Roy determined that system is copied with

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the networked neurons which can build up human brain. The proposed technology is next stage
into the computing as well as enabled huge and rapid processing of the data. This technology has
best ability for the machine learning (271). In the year 2014, IBM’s million-neuron TrueNorth
chip will reveal into example which has power competence. Li et al. concluded that this
technology is hundred times superior as compared to the conventional central processing unit
(235). The neuromorphic chips are allowed with intelligent smaller scale machines for driving
subsequently stage into smallness as well as artificial intelligence. The potential applications of
neuromorphic technology is included with drones which can improved able to procedure as well
as react to the visual cues, commanding as well as intelligent cameras plus Smartphones. There
is data crunching on scale which assist to unlock the secrets of the monetary markets and weather
forecasting. The computers can able to expect as well as bend somewhat than just react to pre-
programmed customs.
The emerging technology is greatest agent of the modifications in modern world. Miotti,
Hofer and Bauer discussed that the technology is promised with innovative solutions to global
challenges of the time (98). At the last, it is analyzed that fuel cell vehicles are emerging
technologies which have potential to scale up as well as deliver both sustainability as well as cost
benefits. The recyclable thermoset plastic has capability to heat as well as shape because of
molecular changes which lead to retain shape plus strength. It is contributed to sustainability and
reduced landfill wastage. Neuromorphic technology is considered as next step into machine
learning as per the study of authors. The supercomputers are not contrasted with wisdom of the
human brain. The chips are to be made and developed process to conduct information in various
ways as compared to other technologies. The neuromorphic chips have ability to make
reassemble to architecture of the human brain for delivering thinking power as well as

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responding attributes. Among all the three emerging technologies, all are different in its
characteristics as well as functions. Even Neuromorphic technology is most innovative emerging
technology in the entire world, therefore in the future more study is required to conduct on this
technology.

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References
Ambrose, Angelina F., et al. "Prospects for introducing hydrogen fuel cell vehicles in
Malaysia." International Journal of Hydrogen Energy 42.14 (2017): 9125-9134.
Feng, Yan-chao, Feng-qing Zhao, and Hong Xu. "Recycling and Utilization of Waste Glass
Fiber Reinforced Plastics." MATEC Web of Conferences. Vol. 67. EDP Sciences, 2016.
Garcia, Jeannette M., and Megan L. Robertson. "The future of plastics
recycling." Science 358.6365 (2017): 870-872.
Hames, Yakup, et al. "Analysis of the control strategies for fuel saving in the hydrogen fuel cell
vehicles." International Journal of Hydrogen Energy 43.23 (2018): 10810-10821.
Li, Zheng, et al. "Neuromorphic hardware acceleration enabled by emerging
technologies." Emerging Technology and Architecture for Big-data Analytics. Springer, Cham,
2017. 217-244.
Miotti, Marco, Johannes Hofer, and Christian Bauer. "Integrated environmental and economic
assessment of current and future fuel cell vehicles." The International Journal of Life Cycle
Assessment 22.1 (2017): 94-110.
Rajendran, Bipin, and Fabien Alibart. "Neuromorphic computing based on emerging memory
technologies." IEEE Journal on Emerging and Selected Topics in Circuits and Systems 6.2
(2016): 198-211.

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Schuman, Catherine D., et al. "A programming framework for neuromorphic systems with
emerging technologies." Proceedings of the 4th ACM International Conference on Nanoscale
Computing and Communication. ACM, 2017.
Sengupta, Abhronil, Aayush Ankit, and Kaushik Roy. "Efficient Neuromorphic Systems and
Emerging Technologies: Prospects and Perspectives." Emerging Technology and Architecture
for Big-data Analytics. Springer, Cham, 2017. 261-274.
Turkmen, Anil Can, Salim Solmaz, and Cenk Celik. "Analysis of fuel cell vehicles with advisor
software." Renewable and Sustainable Energy Reviews 70 (2017): 1066-1071.