Stephan Irle | |
---|---|
Born | July 13, 1967 |
Alma mater | University of Siegen University of Vienna |
Scientific career | |
Fields | computational chemistry nanomaterials |
Institutions | Oak Ridge National Laboratory |
Doctoral advisor | Hans Lischka |
Stephan Irle (born July 13, 1967 [1] ) is a German-American scientist, known for his work in computational chemistry and nanomaterials.
Irle earned a Bachelor of Science (1990) and a Master of Science (1992) in chemistry at University of Siegen in Germany and a Ph.D. in chemistry at the University of Vienna (1997), advised by Hans Lischka. He carried out postdoctoral research at Emory University with Keiji Morokuma (1997-1998) and was then employed by Emory as an associate scientist (1998-2006). [2]
Irle left Emory in 2006 for a research fellowship at Kyoto University in Japan. He was appointed as an associate professor at Nagoya University, eventually becoming a full professor in the chemistry department. In 2017 he returned to the United States and joined Oak Ridge National Laboratory, where he has been a group leader of the computational chemistry and nanomaterials sciences group since 2020. He teaches and advises students as an adjunct professor at Stony Brook University, University of Alabama, and the University of Tennessee. [3] He has also held visiting positions at Bremen University in Germany (2012 and 2018), Harbin Institute of Technology in China (2012), and the National Institute for Fusion Science in Gifu, Japan (2008-2010). [4]
At Oak Ridge, Irle studies nonequilibrium dynamics of molecular systems using quantum methods with a focus on soft matter, biosystems, [5] chemical energy storage, and catalysis. His work employs quantum chemical methods and machine learning methods. [6] His body of work includes over 300 peer-reviewed scientific papers. [7] Among his most widely cited papers are articles on porphyrins and other conjugated systems, [8] [9] fullerenes and carbon nanotubes, [10] [11] and quantum molecular dynamics methods. [12] [13]
Irle is a fellow of the American Association for the Advancement of Science (2018). [14]
Computational chemistry is a branch of chemistry that uses computer simulations to assist in solving chemical problems. It uses methods of theoretical chemistry incorporated into computer programs to calculate the structures and properties of molecules, groups of molecules, and solids. The importance of this subject stems from the fact that, with the exception of some relatively recent findings related to the hydrogen molecular ion, achieving an accurate quantum mechanical depiction of chemical systems analytically, or in a closed form, is not feasible. The complexity inherent in the many-body problem exacerbates the challenge of providing detailed descriptions of quantum mechanical systems. While computational results normally complement information obtained by chemical experiments, it can occasionally predict unobserved chemical phenomena.
Psi is an ab initio computational chemistry package originally written by the research group of Henry F. Schaefer, III. Utilizing Psi, one can perform a calculation on a molecular system with various kinds of methods such as Hartree-Fock, Post-Hartree–Fock electron correlation methods, and density functional theory. The program can compute energies, optimize molecular geometries, and compute vibrational frequencies. The major part of the program is written in C++, while Python API is also available, which allows users to perform complex computations or automate tasks easily.
The Prato reaction is a particular example of the well-known 1,3-dipolar cycloaddition of azomethine ylides to olefins. In fullerene chemistry this reaction refers to the functionalization of fullerenes and nanotubes. The amino acid sarcosine reacts with paraformaldehyde when heated at reflux in toluene to an ylide which reacts with a double bond in a 6,6 ring position in a fullerene via a 1,3-dipolar cycloaddition to yield a N-methylpyrrolidine derivative or pyrrolidinofullerene or pyrrolidino[[3,4:1,2]] [60]fullerene in 82% yield based on C60 conversion.
Semi-empirical quantum chemistry methods are based on the Hartree–Fock formalism, but make many approximations and obtain some parameters from empirical data. They are very important in computational chemistry for treating large molecules where the full Hartree–Fock method without the approximations is too expensive. The use of empirical parameters appears to allow some inclusion of electron correlation effects into the methods.
Fullerene chemistry is a field of organic chemistry devoted to the chemical properties of fullerenes. Research in this field is driven by the need to functionalize fullerenes and tune their properties. For example, fullerene is notoriously insoluble and adding a suitable group can enhance solubility. By adding a polymerizable group, a fullerene polymer can be obtained. Functionalized fullerenes are divided into two classes: exohedral fullerenes with substituents outside the cage and endohedral fullerenes with trapped molecules inside the cage.
Organic photovoltaic devices (OPVs) are fabricated from thin films of organic semiconductors, such as polymers and small-molecule compounds, and are typically on the order of 100 nm thick. Because polymer based OPVs can be made using a coating process such as spin coating or inkjet printing, they are an attractive option for inexpensively covering large areas as well as flexible plastic surfaces. A promising low cost alternative to conventional solar cells made of crystalline silicon, there is a large amount of research being dedicated throughout industry and academia towards developing OPVs and increasing their power conversion efficiency.
The ONIOM method is a computational approach developed by Keiji Morokuma and co-workers. ONIOM is a hybrid method that enables different ab initio, semi-empirical, or molecular mechanics methods to be applied to different parts of a molecule/system in combination to produce reliable geometry and energy at reduced computational cost.
Robert J. Harrison is a distinguished expert in high-performance computing. He is a professor in the Applied Mathematics and Statistics department and founding Director of the Institute for Advanced Computational Science at Stony Brook University with a $20M endowment. Through a joint appointment with Brookhaven National Laboratory, Professor Harrison has also been named Director of the Computational Science Center and New York Center for Computational Sciences at Brookhaven. Dr. Harrison comes to Stony Brook from the University of Tennessee and Oak Ridge National Laboratory, where he was Director of the Joint Institute of Computational Science, Professor of Chemistry and Corporate Fellow. He has a prolific career in high-performance computing with over one hundred publications on the subject, as well as extensive service on national advisory committees.
Henryk A. Witek is a chemist of Polish origin, and is a Professor of Chemistry in the National Chiao Tung University, Hsinchu, Taiwan. He obtained his scientific degrees from the Jagiellonian University (MS) and the University of Tokyo (PhD). His research interests encompass quantum and physical chemistry, applied linear algebra, as well as perturbation theory.
Massively Parallel Monte Carlo (MPMC) is a Monte Carlo method package primarily designed to simulate liquids, molecular interfaces, and functionalized nanoscale materials. It was developed originally by Jon Belof and is now maintained by a group of researchers in the Department of Chemistry and SMMARTT Materials Research Center at the University of South Florida. MPMC has been applied to the scientific research challenges of nanomaterials for clean energy, carbon sequestration, and molecular detection. Developed to run efficiently on the most powerful supercomputing platforms, MPMC can scale to extremely large numbers of CPUs or GPUs. Since 2012, MPMC has been released as an open-source software project under the GNU General Public License (GPL) version 3, and the repository is hosted on GitHub.
Abhik Ghosh is an Indian inorganic chemist and materials scientist and a professor of chemistry at UiT – The Arctic University of Norway in Tromsø, Norway.
Timothy M. Swager is an American Scientist and the John D. MacArthur Professor of Chemistry at the Massachusetts Institute of Technology. His research is at the interface of chemistry and materials science, with specific interests in carbon nanomaterials, polymers, and liquid crystals. He is an elected member of the National Academy of Sciences, American Academy of Arts and Sciences, and the National Academy of Inventors.
Toxicology of carbon nanomaterials is the study of toxicity in carbon nanomaterials like fullerenes and carbon nanotubes.
A cycloparaphenylene is a molecule that consists of several benzene rings connected by covalent bonds in the para positions to form a hoop- or necklace-like structure. Its chemical formula is [C6H4]n or C
6nH
4n Such a molecule is usually denoted [n]CPP where n is the number of benzene rings.
Dr. Dan Thomas Major is a Professor of Chemistry at Bar Ilan University specializing in Computational Chemistry.
Harold Basch was a professor of chemistry who specialized in computational chemistry.
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