Zobrazeno 1 - 10
of 72
pro vyhledávání: '"Haihui Pu"'
Autor:
Arnab Maity, Haihui Pu, Xiaoyu Sui, Jingbo Chang, Kai J. Bottum, Bing Jin, Guihua Zhou, Yale Wang, Ganhua Lu, Junhong Chen
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-11 (2023)
Abstract Risk management for drinking water often requires continuous monitoring of various toxins in flowing water. While they can be readily integrated with existing water infrastructure, two-dimensional (2D) electronic sensors often suffer from de
Externí odkaz:
https://doaj.org/article/99cdc84d523e42d58868f8fc8b9ea20e
Publikováno v:
ACS Omega, Vol 3, Iss 12, Pp 18685-18693 (2018)
Externí odkaz:
https://doaj.org/article/6b5e7e990fd34a1da3f14dafe25ba076
Autor:
Hyun-June Jang, Wen Zhuang, Xiaoyu Sui, Byunghoon Ryu, Xiaodan Huang, Min Chen, Xiaolei Cai, Haihui Pu, Kathleen Beavis, Jun Huang, Junhong Chen
Publikováno v:
ACS Applied Materials & Interfaces. 15:15195-15202
Publikováno v:
ACS Sustainable Chemistry & Engineering. 10:14074-14091
Publikováno v:
ACS Es&t Water
SARS-CoV-2 is shed by COVID-19 patients and can be detected in wastewater. Thus, testing wastewater for the virus provides a depiction of disease prevalence in a community. Virus concentration data can be utilized to monitor infection trends, identif
Autor:
Hyun-June Jang, Xiaoyu Sui, Wen Zhuang, Xiaodan Huang, Min Chen, Xiaolei Cai, Yale Wang, Byunghoon Ryu, Haihui Pu, Nicholas Ankenbruck, Kathleen Beavis, Jun Huang, Junhong Chen
Publikováno v:
ACS applied materialsinterfaces. 14(21)
Despite intensive research of nanomaterials-based field-effect transistors (FETs) as a rapid diagnostic tool, it remains to be seen for FET sensors to be used for clinical applications due to a lack of stability, reliability, reproducibility, and sca
Publikováno v:
Physical Chemistry Chemical Physics. 23:2377-2383
Hydrogen detection devices based on gold-tin oxide/reduced graphene oxide (Au–SnO2/rGO) nanohybrids were fabricated by combining a hydrothermal method with sputter coating. The gas sensing performance of the Au–SnO2/rGO sensor was investigated un
Publikováno v:
Applied Surface Science. 607:155066
Publikováno v:
Chemical Society reviews. 51(6)
Machine learning (ML) is becoming an effective tool for studying 2D materials. Taking as input computed or experimental materials data, ML algorithms predict the structural, electronic, mechanical, and chemical properties of 2D materials that have ye