Phung Thi Viet Bac, Asst. Prof., PhD.
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Phung Thi Viet Bac received her Ph.D. degree in Mathematical and Physical Science from Kanazawa University, Japan, in 2009. She also holds M.Sc. and B.Sc. degrees in Physical Chemistry from VNU Hanoi University of Science and Hanoi National University of Education, obtained in 2005 and 2002, respectively. After getting her PhD degree, she worked as a Postdoctoral Research Fellow at Kanazawa University and National Institute of Advanced Industrial Science and Technology in Japan from late 2009 to 2012. Her research focused on Computational Materials Design for hydrogen storage applications. She also worked briefly at Japan Advanced Institute of Science and Technology until 2013 on solar cell, thin film, solid-oxide fuel cells, Si wafer and catalytic chemical vapor deposition. She later worked as an Assistant Professor at University of Fukui, Japan. From 2018 to 2023, she came back to Vietnam and worked at VNU Vietnam Japan University as Associate Researcher and Lecturer. She led the research group on Computational Multiscale Materials Modelling and Simulation at VJU Institute of Sustainability Science. During her time at the VJU she also performed her duties as the Executive Secretary of VinFuture Prize Foundation. From 2023 she joined the VinUniversity faculty as Head of Research Administration and Assistant Professor at College of Engineering and Computer Science. Additionally, she is a member of the American Chemical Society (ACS) and the Materials Research Society (MRS).
Recent Submissions
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The current status of hydrogen energy: an overview
(2023-09-18)Hydrogen is the most environmentally friendly and cleanest fuel that has the potential to supply most of the world's energy in the future, replacing the present fossil fuel-based energy infrastructure. Hydrogen is expected ... -
Graphene as a sensor for lung cancer: Insights into adsorption of VOCs using vdW DFT
(2024-01)The adsorption mechanism of individual volatile organic compounds (VOCs) on the surface of graphene is investigated using nonempirical van der Waals (vdW) density functional theory. The VOCs chosen as adsorbates are ethanol, ... -
First-principles study of highly sensitive graphene/hexagonal boron nitride heterostructures for application in toxic gas-sensing devices
(2024-01)Graphene-based sensors exhibit high sensitivity, fast response, and good selectivity towards toxic gases but have low mechanical stability. The combination of graphene and two-dimensional hexagonal boron nitride (h-BN) is ...