Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Shuyu Qin"'
Autor:
Ursula Ludacka, Jiali He, Shuyu Qin, Manuel Zahn, Emil Frang Christiansen, Kasper A. Hunnestad, Xinqiao Zhang, Zewu Yan, Edith Bourret, István Kézsmárki, Antonius T. J. van Helvoort, Joshua Agar, Dennis Meier
Publikováno v:
npj Computational Materials, Vol 10, Iss 1, Pp 1-8 (2024)
Abstract Direct electron detectors in scanning transmission electron microscopy give unprecedented possibilities for structure analysis at the nanoscale. In electronic and quantum materials, this new capability gives access to, for example, emergent
Externí odkaz:
https://doaj.org/article/ea601bb91cab4511a8ea8e12e2d58b04
Autor:
Sophia Engelhard, Montserrat Estruch, Shuyu Qin, Christoph A. Engelhard, Francisco G. Rodriguez-Gonzalez, Martine Drilsvik, Javier Martin-Gonzalez, Jeng-Wei Lu, David Bryder, Claus Nerlov, Joachim Weischenfeldt, Kristian Reckzeh, Kim Theilgaard-Mönch
Publikováno v:
Cell Reports, Vol 43, Iss 7, Pp 114475- (2024)
Summary: Endomucin (EMCN) currently represents the only hematopoietic stem cell (HSC) marker expressed by both murine and human HSCs. Here, we report that EMCN+ long-term repopulating HSCs (LT-HSCs; CD150+CD48−LSK) have a higher long-term multi-lin
Externí odkaz:
https://doaj.org/article/3dfc405563e042acaabd1378d8d20651
Autor:
Jinliang Wang, Chenghua Qiu, Shuyu Qin, Shuwen Yao, Jin Chen, Shuhan Lei, Shaojun Tan, Bingjuan Zhou
Publikováno v:
Ecological Indicators, Vol 158, Iss , Pp 111397- (2024)
Optimizing the landscape structure and spatial configuration of the basin is one of the most important ways to reduce the harm of non-point source pollution (NPSP) to water bodies. The coupling relationship between the “source-sink” landscape pat
Externí odkaz:
https://doaj.org/article/2338dd459df34d949978afef9843e623
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-7 (2021)
Abstract To scientifically and reasonably evaluate air quality with a large amount of monitored data, this paper proposes a new evaluation method called ideal grey close function cluster correlation analysis (IGCFCCA). Taking the air quality in Ningx
Externí odkaz:
https://doaj.org/article/cd2bb779b73a401ebe42850079ced7b5
Publikováno v:
npj Computational Materials, Vol 7, Iss 1, Pp 1-14 (2021)
Abstract In pursuit of scientific discovery, vast collections of unstructured structural and functional images are acquired; however, only an infinitesimally small fraction of this data is rigorously analyzed, with an even smaller fraction ever being
Externí odkaz:
https://doaj.org/article/928ea7d232ed406c8c9ab3b327b39c77
Autor:
Trygve M. Ræder, Shuyu Qin, Michael J. Zachman, Rama K. Vasudevan, Tor Grande, Joshua C. Agar
Publikováno v:
Advanced Science, Vol 9, Iss 29, Pp n/a-n/a (2022)
Abstract Ferroelectrics are being increasingly called upon for electronic devices in extreme environments. Device performance and energy efficiency is highly correlated to clock frequency, operational voltage, and resistive loss. To increase performa
Externí odkaz:
https://doaj.org/article/7a22fcff8dd240b49397bfc801145f96
Publikováno v:
npj Computational Materials, Vol 7, Iss 1, Pp 1-14 (2021)
In pursuit of scientific discovery, vast collections of unstructured structural and functional images are acquired; however, only an infinitesimally small fraction of this data is rigorously analyzed, with an even smaller fraction ever being publishe
Publikováno v:
Advanced materials (Deerfield Beach, Fla.). 34(47)
Machine learning (ML) is relied on for materials spectroscopy. It is challenging to make ML models fail because statistical correlations can mimic the physics without causality. Here, using a benchmark band-excitation piezoresponse force microscopy p
Autor:
Joshua Agar, Shuyu Qin
Toy dataset, Piezoresponse Loop andResonance Loop dataset, pre-trained weights of VAE and supplemental materials Add the validation RGB result in NumPy format, add the pretrained results of the validation RGB dataset
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6095c79652ffacfae31473fd60220a61
Publikováno v:
ACS Nano. 10:832-838
Self-assembled peptide nanostructures have unique physical and biological properties and promising applications in electrical devices and functional molecular recognition. Although solution-based peptide molecules can self-assemble into different mor