
معرفی
Eric Majzoub is a Professor in the Department of Physics and Astronomy at the University of Missouri–St. Louis (UMSL), with a joint appointment in the Department of Chemistry and Biochemistry. He has been a faculty member since 2007, advancing to Full Professor in 2015, and served as Associate Director of the Center for Nanoscience from 2011 to 2016.
Education:
- Ph.D., Physics, Washington University (2000)
- B.S., Physics, Washington University (1993)
His research lies at the intersection of computational and experimental materials physics, focusing on energy storage materials such as complex hydrides for hydrogen storage and novel anode materials for Li-ion batteries. He employs advanced computational techniques including density functional theory (DFT), Monte Carlo simulations for crystal structure prediction, and first-principles quantum chemistry. Experimentally, his group uses NMR, neutron scattering, and Raman spectroscopy to characterize material behavior. Recently, his interests have expanded into theoretical areas such as large-N matrix quantum mechanics, non-commutative geometry, and AdS/CFT correspondence.
His most recent publications (2022–2014) reflect a strong trend in hydrogen storage materials, particularly in complex hydrides (e.g., NaAlH4, LiBH4, Ca(BH4)2) and intermetallic alloys (e.g., Mg-Ni, V-Ti-Cr systems). A key theme is the use of nanoporous confinement to control decomposition pathways, suppress unwanted byproducts like diborane, and enhance kinetics. Several studies combine experimental validation with computational modeling to understand thermodynamics and diffusion mechanisms.
While no scientific awards are listed in the provided text, his extensive publication record in high-impact journals such as Acta Materialia, Journal of Physical Chemistry C, and Physical Review B underscores his significant contributions to the field.
Dr. Majzoub teaches a range of courses including Quantum Mechanics I & II, Introduction to Quantum Mechanics, Computational Physics, and Solid State Physics. He also leads a graduate Journal Club. He advises students in both experimental and computational projects, though specific advisees are not named. His group specializes in developing novel crystal structure prediction methods using Monte Carlo techniques. There is no mention of current grants, but his research has clearly involved collaboration with national labs and experimental teams.
He is actively involved in research and teaching, with no indication of retirement or part-time status.
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