Picture of Dr. Tibor Szilvási

Assistant Professor

Chemical and Biological Engineering

3478 Science and Engineering Complex
 (205) 348-1741
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  • Ph.D., Chemistry, Budapest University of Technology and Economics, Hungary, EU, 2016
  • M.Sc., Chemical Engineering, Budapest University of Technology and Economics, Hungary, EU, 2011
  • B.Sc., Chemical Engineering, Budapest University of Technology and Economics, Hungary, EU, 2009


Dr. Tibor Szilvási’s research group focuses on the design of functional materials with well-tailored specific properties by applying computational methods.

Societal needs require to develop efficient and cheap functional materials for various technologies. The Szilvási group is committed to accelerate the development of new materials by using fast and accurate computational methods to screen potential candidates and pinpoint materials with desired properties. Using computational methods, we can potentially save millions of dollars and years of tedious experimental efforts and therefore can provide solution for pressing problems in time.

Dr. Szilvási’s research group aims to focus on engineering interfaces and molecular materials. Specifically, we intend (i) to optimize catalysts relevant for industrial processes, (ii) to identify functional materials for soft matter applications, (iii) to design complex interfaces for energy and sensor applications. To achieve our goals, we also develop computational methods and protocols that can provide more accurate predictions for material design.

Honors and Awards

  • UA President’s Faculty Research Award, 2022
  • UA-AIChE Outstanding Professor Award, 2022
  • Selected participant of the 129th BASF Summer School, 2015
  • BME Research Award, 1st prize, 2011
  • North Rhine-Westphalia German Young Scientist Award in Chemistry, 2011

Areas of Research

Latest Publications

  • “Accessing the Main-Group Metal Formyl Scaffold Through CO-activation in Beryllium Hydride Complexes”, T. Hadlington, T. Szilvási, Nature Communications, 13, 461 (2022).
  • “Trends in Computational Molecular Catalyst Design”, A. Soyemi, T. Szilvási, Dalton Transactions 50, 10325 (2021).
  • “Demonstrating the Direct Relationship between Hydrogen Evolution Reaction and Catalyst Deactivation in Synthetic Fe Nitrogenases”, Z. Benedek, M. Papp, J. Oláh, T. Szilvási, ACS Catalysis 10, 12555 (2020).