News

By Dr. Ridwan Sakidja

2015   2016   2017   2018   2019

2020    2021   2022-2023

 

2022-2023

 

  • I am excited to be chairing the Master of Natural and Applied Science (MNAS) Interdisciplinary Program which is offered by the College of Natural and Applied Sciences (CNAS) at Missouri State University. The MNAS program gives a truly unique opportunity for our students to broaden and thus leverage the scope of their degree in any two disciplines; Biology, Computer Science, Chemistry, Geography, Geology and Planning (GGP), Mathematics or Physics, Astronomy, and Materials Science (PAMS). It is also well-suited for students who are interested in pursuing a career that combines science, technology, and industry. If you are currently an undergraduate student at Missouri State University, you may be able to also choose an accelerated option for the graduate program. Feel free to contact me if you are interested.

https://science.missouristate.edu/MNAS/default.htm

 

 

  • Rachel Lee presented the research work in applying AI to help model the chemical reactions in the Atomic Layer Deposition (ALD) at our CNAS Undergraduate Day. The deposition process is fundamental to produce the Josephson Tunnel Junction, a key ingredient to Superconducting Quantum Bits (Qubits). She won a second price on the Physics, Astronomy and Materials Science category. Congrats!

 

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Many of our MSc graduates continued to pursue their PhD degrees (mostly) in Materials Science at various research-intensive & highly ranked R-1 and R-2 universities. Ultimately, they are making important contributions to the high-tech workforce nationwide. We are very proud of our alumni. I look forward to continuing this tradition of excellence. #GoMaroon!

 

  • Congratulations to our group member Matt Kindhart. He graduated with a BSc degree in Physics!

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  • Two of of our recent graduates, Devon and Tyler, first-authored and published their modeling works with the help of other group members. Devon's paper is on modeling Atomic Layer Deposition using ReaxFF potentials and Tyler's paper reports the development of Deep Learning potentials for a series of transition metal-based carbide systems. Congrats!

      

 

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Top (L to R): Aziz, Devon, and Ridwan. Bottom (L to R):  Gaige, Mou, Emily, and Tyler

Top (L to R): Aziz, Devon, and idwan. Bottom (L to R): Gaige, Mou, Emily, and Tyler

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  • Our group members Emily & Devon passed their Master’s thesis defense. Emily’s work is in modeling Atomic Layer Deposition via kinetic Monte Carlo & Machine Learning, whereas Devon’s applies the reactive force field. Congrats to both!

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  • Excited to rejoin #MachineLearning sub-group of Dr. Kristin Persson, the Director of Molecular Foundry Division at Lawrence Berkeley National Laboratory and Professor of Materials Science and Engineering  at University of California, Berkeley in Summer'22 as a part of the DOE Visiting Faculty Program. One of our group members, a graduating senior undergraduate student Tyler will also join me as a student intern. #collaborationworks!

 

  • Aziz presented (virtually) research in developing #DeepLearning -based potentials for high-entropy driven diborides at the International Conference on Advanced Ceramics & Composites. An NSF-supported collaboration between our group and the research groups of Prof. Fahrenholtz and Prof. Hilmas from the Missouri University of Science and Technology at Rolla, MO. Way to go Aziz!   

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