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Institution

Istanbul Technical University

EducationIstanbul, Turkey
About: Istanbul Technical University is a education organization based out in Istanbul, Turkey. It is known for research contribution in the topics: Fuzzy logic & Large Hadron Collider. The organization has 12889 authors who have published 25081 publications receiving 518242 citations. The organization is also known as: İstanbul Teknik Üniversitesi & Technical University of Istanbul.


Papers
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Journal ArticleDOI
TL;DR: The polymerization system exhibits high photostability under NIR light exposure and irradiation dependency as demonstrated by light on/off experiments and the chain-end fidelity of the polymers was confirmed by chain extension and block copolymerization experiments.
Abstract: NIR-sensitized photoinduced atom-transfer radical polymerization (ATRP) is possible by using ppm of CuII /tris(2-pyridylmethyl)amine (TPMA) as the catalyst, a polymethine as the photosensitizer, and α-bromophenylacetate as the alkyl halide initiator. Among the polymethines investigated with cationic, zwitterionic, or anionic structures, only the zwitterionic 2 exhibited sensitization activity under NIR light at room temperature resulting in the formation of polymers with controlled molecular weight characteristics and functionalities. The barbital group placed at the meso-position of 2 caused the activity in this photo-ATRP framework. The chain-end fidelity of the polymers was confirmed by chain extension and block copolymerization experiments. The polymerization system exhibits high photostability under NIR light exposure and irradiation dependency as demonstrated by light on/off experiments.

115 citations

Journal ArticleDOI
TL;DR: In this article, a synthetic strategy for the preparation of melt-processable shape-memory hydrogels with self-healing ability is presented, which consists of poly(acrylic acid) chains containing 20-50 mol % crystallizable n-octadecyl acrylate (C18A) segments together with surfactant micelles.
Abstract: We present here a synthetic strategy for the preparation of melt-processable shape-memory hydrogels with self-healing ability. The supramolecular hydrogel with a water content of 60–80 wt % consists of poly(acrylic acid) chains containing 20–50 mol % crystallizable n-octadecyl acrylate (C18A) segments together with surfactant micelles. The key of our approach to render the hydrogel melt-processable is the absence of chemical cross-links and the presence of surfactant micelles. At temperatures above the melting temperature Tm of the crystalline domains of alkyl side chains, the hydrogel liquefies due to the presence of surfactant micelles effective for solubilizing the hydrophobic C18A segments. At this stage, it can easily be shaped into any desired form by pouring into molds. Cooling below Tm and removing the surfactant from the gel network results in a hydrogel of any permanent shape with a particularly high compressive strength of 90 MPa and a Young’s modulus of 26 MPa. If the hydrogel was damaged on p...

115 citations

Journal ArticleDOI
TL;DR: In this article, a new design equation for predicting the shear strength of monotonically loaded exterior beam column joints is proposed, which considers the influence of beam longitudinal reinforcement ratio, which was not taken into account in previously suggested design equations.

115 citations

Journal ArticleDOI
TL;DR: Conditioning and regeneration using NaCl improved removal efficiency of ammonium from leachate and the competitive effect was observed more effective in lower ammonium concentration and higher cation concentrations.

115 citations

Journal ArticleDOI
TL;DR: In this article, a method based on fuzzy logic controllers (FLC) for automatic generation control (AGC) of power systems including superconducting magnetic energy storage units is presented.

115 citations


Authors

Showing all 13155 results

NameH-indexPapersCitations
David Miller2032573204840
H. S. Chen1792401178529
Hyun-Chul Kim1764076183227
J. N. Butler1722525175561
Andrea Bocci1722402176461
Bradley Cox1692150156200
Yang Gao1682047146301
J. E. Brau1621949157675
G. A. Cowan1592353172594
David Cameron1541586126067
Andrew D. Hamilton1511334105439
Jongmin Lee1502257134772
A. Artamonov1501858119791
Teresa Lenz1501718114725
Carlos Escobar148118495346
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023137
2022338
20211,860
20201,772
20191,834
20181,643