SLAC National Accelerator Laboratory
Showing 1-20 of 95 Results
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Changzhi Ai
Postdoctoral Scholar, Photon Science, SLAC
BioChangzhi Ai is a postdoc at the SUNCAT Center for Interface Science and Catalysis. He is focusing on machine-learning models for surface and interfacial chemistry.
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Marwa Atwa
Postdoctoral Scholar, Photon Science, SLAC
BioMarwa Atwa is a postdoctoral scholar at Nanoscale Prototyping Laboratory (NPL), focusing on developing durable electrodes for hydrogen fuel cells. She got her Ph.D. in Chemistry from the University of Calgary in 2021 under the supervision of Professor Viola Birss, where she mastered different skills in both material science and electrochemistry fields. During her Ph.D. studies, she developed and tested highly active cathodes for hydrogen fuel cells based on novel nanoporous carbon films made from uniform and bimodal porous structures. Before joining the University of Calgary, Marwa received her M. Sc. And B. Sc. degrees in Chemistry from Suez Canal University, where her research focused on protecting low-carbon steel from corrosion in an acidic medium by applying various nanoengineered metal and alloys coatings using electroplating technique.
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Filippo Balzaretti
Postdoctoral Scholar, Photon Science, SLAC
BioI like to define myself as an aspiring 360° scientist. What does that mean? Well, that it is a strong wish of mine to collect as much knowledge as possible in what are (at least in my opinion) the three main fields of science: Mathematics, Physics and Chemistry.
This is why, after having received my Master in Mathematics at the University of Turin, Italy, I worked as a Ph.D. student in Physics at the University of Bremen, Germany. Recently I've been hired from the University of Stanford to proceed my academic path with a Post-doc position at the SUNCAT Center for Interface Science and Catalysis.
I will put all my efforts to provide the scientific community with important insights and discoveries. -
Suman Bhasker Ranganath
Postdoctoral Scholar, Photon Science, SLAC
Current Research and Scholarly InterestsDevelopment of machine-learning models from high-throughput catalysis simulations.
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Ozge Bozkurt
Postdoctoral Scholar, Photon Science, SLAC
BioOzge is a Chemical and Biological Engineer with a focus on catalysis. She conducted research on biocatalysis during her MSc studies in TU Delft, on heterogeneous catalysis during her PhD studies at Koc University, and pyrolysis of plastic waste during her postdoc at Penn State. Ozge also has industrial R&D experience in a petroleum refinery, with a specialization on biofuels.
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Hao Chen
Postdoctoral Scholar, Photon Science, SLAC
Bio“Understanding interfacial phenomena for solar H2 production and N2 reduction”
Postdoctoral Researcher 2022.11 – present
•Stanford University, CA 94305
(Supervisor: Prof. Amy Cordones-Hahn & Kelly Gaffney)
“Catalysis Program”
Postdoctoral Researcher 2020.1 – 2022.10
•Lawrence Berkeley National Laboratory, Berkeley, CA
(Supervisor: Prof. Miquel Salmeron)
Joint Ph.D. in Physical Chemistry 2013-2019
*2013-2018: Dalian Institute of Chemical Physics, Chinese Academy of Sciences, China (Supervisor: Prof. Xinhe Bao)
*2018-2019: Institute for Applied Physics, Vienna University, of Technology, Austria (Supervisor: Prof. Ulrike Diebold)
B.S. in Chemistry, Zhengzhou University, China 2009-2013 -
Zhihengyu Chen
Postdoctoral Scholar, Photon Science, SLAC
BioPh. D. in Chemistry, Stony Brook University, 2018-2023
B. Eng. in Chemical Engineering, Tianjin University, 2014-2018
B. S. in Chemistry, Nankai University, 2014-2018 -
Igor Daniel de Araujo Evangelista
Postdoctoral Scholar, Photon Science, SLAC
BioDr. Evangelista's primary research focus lies in computational modeling and theoretical analysis of semiconductor materials using advanced quantum mechanical methods, including Density Functional Theory, Quantum Monte Carlo, and ab-initio Molecular Dynamics. Evangelista investigates the electronic, structural, and mechanical properties of materials, collaborating closely with experimental groups to bridge theoretical predictions with empirical results. He is also interested in the development of empirical potentials and enhancing materials modeling through the application of machine learning techniques.
Evangelista entered the Department of Materials Science and Engineering at the University of Delaware as a Ph.D. candidate in 2018, after completing an master degree in Physics 2016-2018 at Federal Fluminense University (Brazil). Recent work includes collaborations with experimental groups to bridge theoretical predictions with empirical results, as well as applying machine learning to creating of empirical potentials to accelerate materials modeling. Evangelista has also contributed to understanding electron mobility in metal-oxide semiconductors and strain effects in two-dimensional materials. These studies showcase his expertise in electronic structure and materials design for next-generation semiconductor technologies.
