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Institution

National Taiwan University of Science and Technology

EducationTaipei, Taipei, Taiwan
About: National Taiwan University of Science and Technology is a education organization based out in Taipei, Taipei, Taiwan. It is known for research contribution in the topics: Fuzzy logic & Control theory. The organization has 16288 authors who have published 21577 publications receiving 426294 citations. The organization is also known as: Taiwan Tech & Taiwantech.


Papers
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Journal ArticleDOI
TL;DR: This work provides a scientific understanding how to enhance the GNR formation by accelerating the CNT longitudinal unzipping via suitable molecular intercalation, which is amenable to industrial-scale production because of the decreased amount of strong acid.
Abstract: We have demonstrated an effective intercalation of multi-walled carbon nanotubes (MWCNTs) for the green and scalable synthesis of graphene nanoribbons (GNRs) using an intercalation-assisted longitudinal unzipping of MWCNTs. The key step is to introduce an intercalation treatment of raw MWCNTs with KNO3 and H2SO4, making it promising to decrease the strong van der Waals attractions in the MWCNTs bundles and between the coaxial graphene walls of CNTs. Systematic micro Raman, X-ray photoelectron spectroscopy (XPS) and X-ray diffraction (XRD) characterizations suggest that potassium, nitrate and sulfate ions play an important role in the CNT intertube and intratube intercalations during the pretreatment. Detailed scanning electron microscopy (SEM), transmission electron microscopy, XRD and micro Raman characterizations indicate that the developed methodology possesses the ability to synthesis GNRs effectively with an improved CNT concentration in H2SO4 of 10 mg/ml at 70 °C, which is amenable to industrial-scale production because of the decreased amount of strong acid. Our work provides a scientific understanding how to enhance the GNR formation by accelerating the CNT longitudinal unzipping via suitable molecular intercalation.

97 citations

Journal ArticleDOI
TL;DR: This paper explored the relationships between teachers' motivation toward web-based professional development, Internet self-efficacy, and beliefs about webbased learning by gathering questionnaire data from 484 elementary school teachers.

97 citations

Journal ArticleDOI
TL;DR: A computer-aided engraving system is developed to prove the applicability of the proposed methodologies and algorithms through which a three-axis NC cutter path can be directly generated from massive data points obtained with contact or non-contact measuring devices.
Abstract: This paper proposes methodologies and algorithms through which a three-axis NC cutter path can be directly generated from massive data points obtained with contact or non-contact measuring devices. At the beginning, a Z-map model is employed to set up mesh points in order to economize on the use of computer memory. Rough-cut paths are produced by machining volumes of material in a slice-by-slice manner: firstly cutting the raw material into several slices on the basis of depth of cut, next judging from intersection information the cut and non-cut areas, and then generating roughcut paths of slices. Fine-cut paths are achieved by the height correction method, which by degrees examines mesh points within the cutters' projection areas. Any interference between the cutting tool and the data points is taken into account during the correction of the cutter height. Aside from a theoretical discussion, this research develops a computer-aided engraving system to prove the applicability of the proposed methods. In contrast to traditional copy milling, computer-aided engraving provides users with much more flexibility, reduces machining time, and adapts the workpiece forms to different circumstances so as to manufacture male or female dies.

97 citations

Journal ArticleDOI
TL;DR: In this article, a nickel-ruthenium layered double hydroxide (NiRu-LDHs) nanosheets were subjected to decoration with conductive silver nanoparticles, which interestingly induce their multivacancies associated with catalytic site activity and populations, and showed excellent catalytic activity toward both oxygen reduction and evolution reaction (ORR/OER) features with low onset overpotentials of 0.21 V and −0.27 V, respectively.
Abstract: Developing efficient and durable bifunctional electrocatalysts for oxygen reduction and evolution reaction (ORR/OER) is highly desirable in energy conversion and storage systems. This study prepares nickel–ruthenium layered double hydroxide (NiRu-LDHs) nanosheets subjected to decoration with conductive silver nanoparticles (Ag NP/NiRu-LDHs), which interestingly induce their multivacancies associated with catalytic site activity and populations. The as-prepared Ag NP/NiRu-LDH shows excellent catalytic activity toward both OER and ORR features with low onset overpotentials of 0.21 V and −0.27 V, respectively, with a 0.76 V potential gap between OER potential at 10 mA cm–2 and ORR potential at −3 mA cm–2, demonstrating that it is the preeminent bifunctional electrocatalyst reported to date. Compared with pristine NiRu-LDHs, the resulting Ag NP/NiRu-LDHs nanosheets require only an overpotential of 0.31 V to deliver 10 mA cm–2 with excellent durability. The superb bifunctional performance of Ag NP/NiRu-LDH is ...

97 citations

Journal ArticleDOI
TL;DR: The magnetically retrievable immobilized α-amylase retained over 70% of its original activity after six times of repeated use and demonstrated a comparable starch hydrolysis rate as the free enzyme.

97 citations


Authors

Showing all 16326 results

NameH-indexPapersCitations
Gerbrand Ceder13768276398
Jong-Sung Yu124105172637
Tai-Shung Chung11987954067
En-Tang Kang9776338498
Koon Gee Neoh9568335008
Kisuk Kang9334531810
Duu-Jong Lee9197937292
Shyi-Ming Chen9042522172
Pi-Tai Chou9061430922
Chin Chung Tsai8340923043
Chung-Yuan Mou8342025075
Yuan T. Lee7844720517
Gwo-Hshiung Tzeng7746526807
Kuei-Hsien Chen7565224809
Shen-Ming Chen7294924444
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202332
2022130
20211,399
20201,354
20191,267
20181,115