Performance Assessment of the Semiconductor Industry: Measured by DEA Environmental Assessment

Sueyoshi, Toshiyuki; Ryu, Youngbok

doi:10.3390/en13225998

Cited by 15 publications

(6 citation statements)

References 32 publications

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“…Figure S29, Supporting Information, shows the scanning electron microscope images of the as‐fabricated vascularized electrodes, proving the as‐designed vasculature can be successfully fabricated. Photolithography is the core technology in modern integrated circuit manufacturing, and the explosive increase of the semi‐conductor sales [ 23 ] shows the reproducibility and scalability of such a photolithography microfabrication method.…”

Section: Resultsmentioning

confidence: 99%

Bio‐Inspired Computational Design of Vascularized Electrodes for High‐Performance Fast‐Charging Batteries Optimized by Deep Learning

Sui

et al. 2021

Advanced Energy Materials

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Slow ionic transport and high voltage drop (IR drop) of homogeneous porous electrodes are the critical causes of severe performance degradation of lithium‐ion batteries at high charging rates. Herein, it is numerically demonstrated that a bio‐inspired vascularized porous electrode can simultaneously solve these two problems by introducing low tortuous channels and graded porosity, which can be verified by porous electrode theory. To optimize the vasculature structural parameters, artificial neural networks are employed to accelerate the computation of possible structures with high accuracy. Furthermore, an inverse‐design searching library is compiled to find the optimal vascular structures under different industrial fabrication and design criteria. The prototype delivers a customizable package containing optimal geometric parameters and their uncertainty and sensitivity analysis. Finally, the full‐vascularized cell shows a 66% improvement in charging capacity compared to the traditional homogeneous cell under 3.2 C current density in a numerical simulation. This computational research provides an innovative methodology to solve the fast‐charging problem in batteries and broaden the applicability of deep learning algorithms to different scientific or engineering areas.

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Section: Resultsmentioning

confidence: 99%

Bio‐Inspired Computational Design of Vascularized Electrodes for High‐Performance Fast‐Charging Batteries Optimized by Deep Learning

Sui

et al. 2021

Advanced Energy Materials

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“…It is hoped that our future studies will address those limitations. See [39][40][41][42] for a general direction on DEA applied to energy and environment.…”

Section: Discussionmentioning

confidence: 99%

Environmental Assessment and Sustainable Development in the United States

Sueyoshi

Ryu

2021

Energies

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This study aims to overview the U.S. sustainable development by measuring the environmental performance of 50 states over the period of 2009–2018. To attain the objective, we employ data envelopment analysis for environmental assessment where we prioritize the minimization of CO2 emissions first and the maximization of gross state product later under the concept of managerial disposability (i.e., an environment-based performance measure). Then, we examine how the state-level environmental performance measures are associated with their political and spatial contexts. For the purpose, we conduct the Kruskal-Wallis rank sum test across groups of states characterized by their political transitions in the presidential and gubernatorial elections and defined by the regions of the U.S. Economic Development Administration and Environmental Protection Agency. Based on our empirical results, we find that (a) overall environmental performance has gradually enhanced over time, (b) there are statistically significant differences in the environmental performance measures along with the political transitions, and (c) states on both coasts have outperformed those of the middle in the measurement.

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“…Brush and BCP lithography may provide opportunities for the development of new facilities with reduced raw materials and resource strains. The semiconductor industry faces a change in global sustainability regulations and pressure to reduce the amount of greenhouse gas emissions [27]. Brush and BCP lithography may provide opportunities for the development of new facilities with reduced raw materials and resource strains.…”

Section: Selecting Products Equipment and Facilities Optimised To Reduce Raw Materials And Resource Strainsmentioning

confidence: 99%

“…The development of industries such as the electronics industry has led to perturbations in environmental system (ES) functioning; if left unchecked, such issues may pose a serious threat to the future sustainability of human life on earth [ 26 ]. The demand for modern integrated circuits (ICs) has led to sales in the semiconductor industry increasing by almost seven times in the past three decades from $73,000 in 1987 to $481,090 in 2018 [ 27 , 28 ]. This growth of consumer electronics is illustrated in Figure 1 below.…”

Section: Introductionmentioning

confidence: 99%

Green Nanofabrication Opportunities in the Semiconductor Industry: A Life Cycle Perspective

Mullen

Morris

2021

Nanomaterials

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The turn of the 21st century heralded in the semiconductor age alongside the Anthropocene epoch, characterised by the ever-increasing human impact on the environment. The ecological consequences of semiconductor chip manufacturing are the most predominant within the electronics industry. This is due to current reliance upon large amounts of solvents, acids and gases that have numerous toxicological impacts. Management and assessment of hazardous chemicals is complicated by trade secrets and continual rapid change in the electronic manufacturing process. Of the many subprocesses involved in chip manufacturing, lithographic processes are of particular concern. Current developments in bottom-up lithography, such as directed self-assembly (DSA) of block copolymers (BCPs), are being considered as a next-generation technology for semiconductor chip production. These nanofabrication techniques present a novel opportunity for improving the sustainability of lithography by reducing the number of processing steps, energy and chemical waste products involved. At present, to the extent of our knowledge, there is no published life cycle assessment (LCA) evaluating the environmental impact of new bottom-up lithography versus conventional lithographic techniques. Quantification of this impact is central to verifying whether these new nanofabrication routes can replace conventional deposition techniques in industry as a more environmentally friendly option.

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Performance Assessment of the Semiconductor Industry: Measured by DEA Environmental Assessment

Cited by 15 publications

References 32 publications

Bio‐Inspired Computational Design of Vascularized Electrodes for High‐Performance Fast‐Charging Batteries Optimized by Deep Learning

Bio‐Inspired Computational Design of Vascularized Electrodes for High‐Performance Fast‐Charging Batteries Optimized by Deep Learning

Environmental Assessment and Sustainable Development in the United States

Green Nanofabrication Opportunities in the Semiconductor Industry: A Life Cycle Perspective

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