Prof. Ramesh K. Agarwal
Washington University in St. Louis, USA
Biography: Professor Ramesh K. Agarwal is the William Palm Professor of Engineering in the department of Mechanical Engineering and Materials Science at Washington University in St. Louis. From 1994 to 2001, he was the Sam Bloomfield Distinguished Professor and Executive Director of the National Institute for Aviation Research at Wichita State University in Kansas. From 1978 to 1994, he was the Program Director and McDonnell Douglas Fellow at McDonnell Douglas Research Laboratories in St. Louis. Dr. Agarwal received Ph.D in Aeronautical Sciences from Stanford University in 1975, M.S. in Aeronautical Engineering from the University of Minnesota in 1969 and B.S. in Mechanical Engineering from Indian Institute of Technology, Kharagpur, India in 1968. Over a period of forty years, Professor Agarwal has worked in various areas of Computational Science and Engineering - Computational Fluid Dynamics (CFD), Computational Materials Science and Manufacturing, Computational Electromagnetics (CEM), Neuro-Computing, Control Theory and Systems, and Multidisciplinary Design and Optimization. He is the author and coauthor of over 500 journal and refereed conference publications. He has given many plenary, keynote and invited lectures at various national and international conferences worldwide in over fifty countries. Professor Agarwal continues to serve on many academic, government, and industrial advisory committees. Dr. Agarwal is a Fellow eighteen societies including the Institute of Electrical and Electronics Engineers (IEEE), American Association for Advancement of Science (AAAS), American Institute of Aeronautics and Astronautics (AIAA), American Physical Society (APS), American Society of Mechanical Engineers (ASME), Royal Aeronautical Society, Chinese Society of Aeronautics and Astronautics (CSAA), Society of Manufacturing Engineers (SME) and American Society for Engineering Education (ASEE). He has received many prestigious honors and national/international awards from various professional societies and organizations for his research contributions.
Title of Speech: Review of Metamaterials: Designed Crystalline Materials with Unusual Properties
Abstract: Metamaterials are rationally designed artificial materials composed of tailored functional building blocks densely packed into an effective (crystalline) material. While metamaterials historically are primarily thought to be associated with negative refractive indices and invisibility cloaking in electromagnetism or optics, it turns out that the simple metamaterial concept also applies to many other areas of physics namely the thermodynamics, classical mechanics (including elastostatics, acoustics, fluid dynamics and elastodynamics) and in principle also to the quantum mechanics. This lecture will review the basic concepts and analogies behind the thermodynamic, acoustic, elastodynamic/elastostatic, and electromagnetic metamaterials and differences among them. It will provide an overview of the theory, the current state of the art and example applications of various types of metamaterials. The review will also discuss the homogeneous as well as inhomogeneous metamaterial architectures designed by coordinate-transformation-based approaches analogous to transformation optics. The application examples will include laminates, thermal cloaks, thermal concentrators and inverters, anisotropic acoustic metamaterials, acoustic free-space and carpet cloaks, auxetic mechanical metamaterials, pentamode metamaterials (meta-liquid), and mechanical metamaterials with negative dynamic mass density, negative dynamic bulk modulus, or negative phase velocity. Finally an example of quantum-mechanical matter-wave cloaking will be provided.
Prof. Sreeramamurthy Ankem
University of Maryland, USA
Biography: Dr. Sreeramamurthy Ankem is a professor at the University of Maryland, College Park, USA. His research interests include: Physical and mechanical behavior of structural materials including titanium alloys and stainless steels, modeling microstructure evolution in multiphase systems, finite element modeling (FEM) of deformation and damping behavior of composite materials, and biomedical implants. He has over 95 publications in these areas. Prof. Ankem has received many awards and he is a Fellow of the professional society ASM International (FASM).
Title of Speech: Recent Developments on Deformation Twinning in Metallic Materials
Abstract: Twinning is known to be an important deformation mechanism in crystalline materials like metals and ceramics. Once the twin nucleates, it is normally expected that the growth of twins approaches the speed of sound in the material. However, the author and his coworkers have discovered that this process can occur at speeds many orders of magnitude lower than the speed of sound. This was found to occur both in hexagonal close-packed (HCP) structures as well as in body centered cubic (BCC) structures. More importantly, twinning in titanium alloys has been attributed to control the low temperature (<0.25 Tm) creep deformation. Given that many metallic and ceramic materials exist in HCP and BCC crystalline forms, these findings are expected to be applicable to most of these materials as well. The phenomenon of slow growth of twins has been termed time-dependent twinning. It has been suggested that this process is due to slow diffusion of oxygen atoms that occupy interstitial sites, which are displaced away from the twin/parent matrix grain boundary. In this presentation, the crystallographic and atomistic models for the diffusion of oxygen for time-dependent twinning phenomena will be presented. In addition, the effect of the microstructural parameters, such as grain size, on the time-dependent twinning phenomenon will be discussed. Furthermore, the ramifications of these findings in relation to the processing of existing metallic materials and the development of new alloys will be outlined.
Assoc. Prof. Ki Tae Nam
Seoul National University, Republic of Korea
Biography: Dr. Nam has been an associate professor of the Materials Science and Engineering at the Seoul National University since 2010. He received the B.S degree and M.S degree in Materials Science and Engineering from Seoul National University, and the Ph.D. in Materials Science and Engineering from Massachusetts Institute of Technology with the award “Outstanding PhD Thesis” in 2007. He worked as a postdoc at the Molecular Foundry in the Lawrence Berkeley National Laboratory.
His research interest is currently on the bioinspired materials synthesis and electrochemical devices for Solar Fuel. His scientific contribution to this research include his PhD work- Virus Based Battery published in Science 2006 and Nature Materials 2006 and his postdoc work- Peptoid 2D Assembly in Nature Materials 2010. In 2016, his group published perovskite based photocatalysis in Nature Energy. He also served as the academic consultant for LG Electronics and LG Display.
Title of Speech: Bioinspired Electrocatalyst for Solar Fuel
Abstract: Water splitting is regarded as a promising step towards environmentally sustainable energy schemes because electrolysis produces only hydrogen and oxygen, without any by-products. The oxygen evolution reaction (OER), an anodic half-cell reaction, requires extremely high overpotential due to its slow reaction kinetics. In nature, there exists a water oxidation complex (WOC) in photosystem II (PSII) comprised of the Mn and Ca elements. The WOC in PSII, in the form of a cubical Mn4CaO5 cluster, efficiently catalyzes water oxidation with extremely low overpotential value (~160 mV) and a high turnover frequency (TOF) number (~25,000 mmolO2 mol-1Mn s-1).
We first identified a new crystal structure, Mn3(PO4)2-3H2O, and demonstrated its superior catalytic performance at neutral pH. We revealed that structural flexibility can stabilize Jahn-Teller distorted Mn(III), and thus facilitate Mn redox during catalysis. Additionally, a new pyrophosphate based Mn compound, Li2MnP2O7 was studied. We verified the influence of Mn valency and asymmetric geometry on water oxidation catalysis using Li2MnP2O7 and its derivatives.
Specific questions that our group intensively focus for the further applications include 1) how we can translate the underlying principles in Mn4CaO5 cluster into the synthetic heterogeneous catalysts and 2) how we can mimic the redox molecule involved biological dark reaction for the CO2 reduction. Toward this vision, we have been developing a new catalytic platform based on sub-10 nm uniform nanoparticles to bridge the gap between atomically defined biological catalysts or their metalloenzyme counterparts and the scalable, electrode depositable heterogeneous catalysts. In this approach, the local atomic geometry is controlled by the nitrogen containing graphitic carbon and the heterogeneous atom doping, that enhance the catalytic activity and selectivity. Additional surface modification by the specific ligand allows for the atomic scale tunability to realize the unique electronic hybridization.
Prof. Ying Tan
Peking University, China
Biography: Ying Tan is a full professor and PhD advisor at the School of Electronics Engineering and Computer Science of Peking University, and director of Computational Intelligence Laboratory at Peking University. He received his B.Eng from Electronic Engineering Institute, M.S. from Xidian University, and PhD from Southeast University, in 1985, 1988, and 1997, respectively. Then a postdoctoral fellow and associate professor at University of Science and Technology of China. He worked at Chinese University of Hong Kong in 1999 and 2004-2005. He was an electee of One Hundred Talent Program of China Academy of Science (CAS) in 2005. He is the inventor of Fireworks Algorithm (FWA).
Ying Tan is a full professor and PhD advisor at the School of Electronics Engineering and Computer Science of Peking University, and director of Computational Intelligence Laboratory at Peking University. He received his B.Eng, M.S., and PhD from Southeast University, in 1985, 1988, and 1997, respectively. He was an electee of One-Hundred-Talent-Program of China Academy of Science (CAS) in 2005 and the inventor of Fireworks Algorithm (FWA).
He serves as the Editor-in-Chief of International Journal of Computational Intelligence and Pattern Recognition (IJCIPR), the Associate Editor of IEEE Transactions on Evolutionary Computation (TEC), IEEE Transactions on Cybernetics (CYB), IEEE Transactions on Neural Networks and Learning Systems (NNLS), International Journal of Swarm Intelligence Research (IJSIR), International Journal of Artificial Intelligence (IJAI), etc. He also served as an Editor of Springer’s Lecture Notes on Computer Science (LNCS) for 20+ volumes, and Guest Editors of several referred Journals, including IEEE/ACM Transactions on Computational Biology and Bioinformatics, Information Science, Softcomputing, Neurocomputing, Natural Computation, IJSIR, IJAI, etc. He is an IEEE senior member and a member of Emergent Technologies Technical Committee (ETTC) of IEEE Computational Intelligence Society since 2010. He is the founder general chair of the ICSI International Conference series since 2010. He won the 2nd-Class Natural Science Award of China in 2009.
His research interests include computational intelligence, swarm intelligence, swarm robotics, data mining, pattern recognition, intelligent information processing for information security, etc. He has published more than 280 papers in refereed journals and conferences in these areas, and authored/co-authored 11 books and 12 chapters in book, and received 4 invention patents.
Title of Speech: On Fireworks Algorithm Research and Its Application to Material Engineering
Abstract: Recently, inspired from the collective behaviors of many swarm-based creatures in nature or social phenomena, swarm intelligence (SI) has been received attention and studied extensively, gradually becomes a class of efficiently intelligent optimization methods. Inspired by fireworks explosion at night, the fireworks algorithm (FWA) was developed in 2010. Since then, several improvements and some applications were proposed to improve the efficiency of FWA. In this presentation, the fireworks algorithm is first described in detail and reviewed, then several effective improved fireworks algorithms are highlighted individually. By changing the ways of calculating numbers and amplitudes of sparks in fireworks’ explosion, the improved FWA algorithms become more reasonable and explainable. Extensive experiments on IEEE-CEC’s benchmark functions demonstrate that the improved fireworks algorithms significantly increase the accuracy of found solutions, yet decrease the running time dramatically. Finally, some applications of FWA are briefly described, in particular, the applications of FWA to some important optimization problems happened in material engineering filed are highlighted and reviewed in details. I believe that the FWA will find its right way in the field of material engineering in future.