Zobrazeno 1 - 10
of 314
pro vyhledávání: '"Meng Fanchen"'
Publikováno v:
SAGE Open, Vol 14 (2024)
This study investigates the role of employee cynicism and perceived organizational politics in deceptive knowledge-hiding behaviors (evasive hiding and playing dumb). Besides, this work aims to measure the mediating role of psychological distress bet
Externí odkaz:
https://doaj.org/article/abedd8e759a7475d8301dc74668eda72
X-ray absorption spectroscopy (XAS) is a powerful characterization technique for probing the local chemical environment of absorbing atoms. However, analyzing XAS data presents with significant challenges, often requiring extensive, computationally i
Externí odkaz:
http://arxiv.org/abs/2409.19552
Publikováno v:
SAGE Open, Vol 9 (2019)
The present study explains how different factors of knowledge hiding (e.g., evasive, playing dumb, and rationalized) influence on team creativity. Drawn on social exchange theory, the present study theorizes that factors of knowledge hiding have a ne
Externí odkaz:
https://doaj.org/article/9afe34dd460a4304b8a4126f895dfabd
Publikováno v:
SAGE Open, Vol 9 (2019)
China–Pakistan Economic Corridor (CPEC) has got a vital position in the perspectives of economic growth and sustainable development of China and Pakistan. Viewing these prospects, the Chinese organizations are taking interest to deal with Pakistani
Externí odkaz:
https://doaj.org/article/3f46cf3d868940408e006a3439ecf443
Autor:
Kundu, Ashis, Chen, Yani, Yang, Xiaolong, Meng, Fanchen, Carrete, Jesús, Kabir, Mukul, Madsen, Georg K. H., Li, Wu
Publikováno v:
Phys. Rev. Lett. 132, 116301 (2024)
Recent theoretical and experimental research suggests that $\theta$-TaN is a semimetal with high thermal conductivity ($\kappa$), primarily due to the contribution of phonons ($\kappa_\texttt{ph}$). By using first-principles calculations, we show a n
Externí odkaz:
http://arxiv.org/abs/2307.15407
Autor:
Meng, Fanchen, Maurer, Benedikt, Peschel, Fabian, Selcuk, Sencer, Hybertsen, Mark, Qu, Xiaohui, Vorwerk, Christian, Draxl, Claudia, Vinson, John, Lu, Deyu
Publikováno v:
Phys. Rev. Materials 8, 013801 (2024)
X-ray absorption spectroscopy (XAS) is an element-specific materials characterization technique that is sensitive to structural and electronic properties. First-principles simulated XAS has been widely used as a powerful tool to interpret experimenta
Externí odkaz:
http://arxiv.org/abs/2303.17089
Autor:
Liang, Zhu, Carbone, Matthew R., Chen, Wei, Meng, Fanchen, Stavitski, Eli, Lu, Deyu, Hybertsen, Mark S., Qu, Xiaohui
Publikováno v:
Pyhys. Rev. Materials 7, (2023) 053802
A new semi-supervised machine learning method for the discovery of structure-spectrum relationships is developed and demonstrated using the specific example of interpreting X-ray absorption near-edge structure (XANES) spectra. This method constructs
Externí odkaz:
http://arxiv.org/abs/2301.04724
Autor:
Carbone, Matthew R., Meng, Fanchen, Vorwerk, Christian, Maurer, Benedikt, Peschel, Fabian, Qu, Xiaohui, Stavitski, Eli, Draxl, Claudia, Vinson, John, Lu, Deyu
First-principles computational spectroscopy is a critical tool for interpreting experiment, performing structure refinement, and developing new physical understanding. Systematically setting up input files for different simulation codes and a diverse
Externí odkaz:
http://arxiv.org/abs/2211.04452
Autor:
Ghose, Animesh, Segal, Mikhail, Meng, Fanchen, Liang, Zhu, Hybertsen, Mark S., Qu, Xiaohui, Stavitski, Eli, Yoo, Shinjae, Lu, Deyu, Carbone, Matthew R.
As machine learning (ML) methods continue to be applied to a broad scope of problems in the physical sciences, uncertainty quantification is becoming correspondingly more important for their robust application. Uncertainty aware machine learning meth
Externí odkaz:
http://arxiv.org/abs/2210.00336
Publikováno v:
In Journal of Environmental Management November 2024 370