Chen Longqing
Chen Longqing is a professor of materials science and engineering at Pennsylvania State University DonaldW.Hamer Professor, Professor of Engineering Science and mechanics, Professor of mathematics, and editor in chief of npj computational materials. He has obtained bachelor's, master's and doctor's degrees in materials science and engineering from Zhejiang University, Shixi branch of State University of New York and Massachusetts Institute of technology. He began teaching at Penn State University in 1992. His main research interests are mesoscopic and multiscale computational materials science and material design, phase field method and mathematical simulation, microstructure and microelastic theory, morphology and coarsening of alloy precipitation phase, ferroelectric and multiferroic oxide domain structure and inversion, phase transformation thermodynamics and dynamics, degradation and breakdown of dielectric materials, lithium-ion batteries. He has published more than 600 articles and two patents leScholar:H- Factor 95; 37 000 citations in total) is a highly cited scientist of clarivate analytics in 2018. Professor Chen Longqing has won a variety of research awards, including material theory award 2014, Guggenheim award, Humboldt Research Award 2014, Outstanding scientist award of the functional materials branch of the society of minerals, metals and materials (TMS), Li Xun lecture award of Shenyang Institute of metals, Chinese Academy of Sciences, silver medal of ASMI international, Young Researcher Award of the U.S. Naval Research Office, two special creativity awards of the National Natural Science Foundation of the United States, medal for outstanding engineering scholar of Penn State University, and outstanding professor of Penn State University, Fellow of American Society for international studies, fellow of American Ceramic Society (ACerS), fellow of American Physical Society (APS), fellow of American Material Research Society (MRS), fellow and life member of American Society for minerals, metals and materials (TMS), and fellow of American Association for the advancement of Science (AAAS).
Character experience
work experience
Materials science and engineering, Pennsylvania State University, 2015-2020 DonaldW.Hamer chair professor
Distinguished professor of materials science and engineering, Penn State University, 2013-2015
Professor of materials science and engineering, Pennsylvania State University, 2002-2012
2000-2002 associate dean of materials science and engineering, Pennsylvania State University, USA
1998-2002 associate professor of materials science and engineering, Pennsylvania State University, USA
1992-1998 assistant professor of materials science and engineering, Pennsylvania State University, USA
Learning experience
From 1990 to 1992, he did postdoctoral research in materials science and engineering at Rutgers University.
In 1990, he received his Ph.D. from the Department of materials science and engineering, MIT;
He went to the United States in 1983 and obtained his master's degree in strategic science and engineering from the State University of New York at Stony Brook in 1985;
He graduated from the Department of materials science and engineering of Zhejiang University in 1982 with a bachelor's degree;
Research direction
Mesoscopic and multiscale computational materials science; phase field method and mathematical simulation; microstructure and microelastic theory; morphology and coarsening of alloy precipitation phase; ferroelectric and multiferroic oxide domain structure and inversion; phase transformation thermodynamics and kinetics; grain growth; degradation and breakdown of dielectric materials; solid oxide fuel cells, lithium ion batteries, two-dimensional materials and material additive manufacturing
Published more than 600 papers (GOOG leScholar:H- Factor 92; total citation 37000 times;); two patents; invited report or topic speech 300 times
Three books have been compiled, including "mathematical methods of microstructure evolution" (with J. W. Cahn, B. fultz, J. Simmons, J. Manning, J. Morral in 1996), "computational mathematical simulation of microstructure evolution" (with J. Bullard, M. Stoneham, R. kolia in 1998), "continuous scale simulation of engineering materials: principle microstructure process application" (with D. Raabe, F. Barrat, F. roters in 2004).
Main achievements
A series of novel phase field models and multi-scale computational models have been established for various phase transformation dynamics and material treatment processes, including grain growth, coherent precipitation, ferroelectric domain formation, grain coarsening, domain structure evolution in thin films, phase transformation in the presence of structural defects, microstructure evolution in strongly elastic inhomogeneous systems, magnetic domain structure and ferromagnetic martensitic transformation, etc Type. The research group established the first grain growth model based on phase field method. Using the first mock exam, Chen Longqing and his collaborators studied the kinetics of grain growth and topology of grain growth. Based on computer simulations, they show that correlation is a key factor in grain growth and thus reveal a long-standing defect in the analytical grain growth model. The first mock exam is to study the kinetics of grain growth in various systems. In the first mock exam, Chen Longqing research group extended their models to Polyphase systems, such as grain growth and Oswald aging. Using the multiphase grain growth model, they were able to systematically study the Oswald ripening process in a two-phase system with high ripening phase percentage for the first time in the world. This has become the basis of the world materials network project funded by the National Natural Science Foundation of the United States and the two projects of the center for computational materials design. Chen Longqing research group is also the pioneer of phase field simulation of ferroelectric domains in single crystal materials and thin films with substrate constraints. They can be used to quantitatively predict the dependence of ferroelectric phase transition temperature and domain structure on the substrate lattice constant and film orientation. In collaboration with experimental scientists, these models have been used to guide molecular beam epitaxy and pulsed laser deposition with surprising properties. Their collaboration with the schlom group at Penn State University and other collaborators has led to a new discovery: substrate binding can lead to room temperature ferroelectricity of SrTiO3 films, which are non ferroelectric at room temperature without substrate binding stress. It is found that the substrate constraints dramatically change the phase diagram of the system, and even lead to the formation of new phases. It is a long-term problem in ferroelectricity to find out the influencing factors of coercive field (the size of external electric field that makes net polarization zero). Chen Longqing's recent series of work on ferroelectric domain conversion characteristics has made the coercivity field observed in experiments much smaller than predicted by previous theories, which is the fundamental reason for this phenomenon. The group's theoretical predictions also provide guidance to his experimental collaborators at the University of California Berkeley, helping them understand the domain stability factors and greatly improve the domain stability of BiFeO3 materials used in memory devices. They have also extended their work in ferroelectric thin films to multiferroic systems, which involves the very interesting coupling between two or more ferroelectric phase transitions. These materials have potential applications in the fabrication of new memory devices. He and his collaborators proposed several multi-scale calculation models, which combined first principles, CALPHAD database and phase field simulation of microstructure evolution to build a scientific and engineering calculation tool for alloy design. For example, they show how three state-of-the-art technologies can be combined to build bridges between atomic scale and microstructure: (1) first principles calculations, (2) mixed space cluster approximation, (3) diffusion interface phase field models. Recently, they have proposed a method that allows one to predict the morphology of coherent precipitates directly from first principles calculations. This involves first principles calculations, mixed space clusters and Monte Carlo simulations. Without any prior assumptions, they predicted the general precipitation morphology controlled by strain induced long-range interaction in Al Cu alloys. The coarsening kinetics of γ precipitates in Ni Al binary alloy was studied by three-dimensional phase field model and CALPHAD approximation. This comprehensive model can quantitatively predict the evolution of morphology, the average size of precipitates, and the change of size distribution with time and composition. These multi-scale concepts are the main idea of a major research project sponsored by NASA and NSFC.
Award winning record
Fellow of AAAs in 2019
Visiting professor of Hong Kong Polytechnic in 2018
Highly cited scientist of clarivate analytics in 2018
Humboldt Research Award 2017 (no more than 100 per year in all fields)
2017 lifelong member of the minerals, metals and Materials Society (TMS)
Member of the society of minerals, metals and materials (TMS) 2017
2015 Li Xun lecture award of Shenyang Institute of metals, Chinese Academy of Sciences
2015 member of American Ceramic Society (ACerS)
2015 National Science Foundation
Chinese PinYin : Chen Long Qing
Chen Longqing