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Scientific Program


October 26-27, 2021 at 09:00 AM JST 
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Osaka, Japan

Keynote Session:

Meetings International -  Conference Keynote Speaker Osman Adiguzel photo

Osman Adiguzel

University of Firat, Department of Physics, Turkey

Title: Thermomechanical Processes and Lattice Reactions in Memory Behavior of Shape Memory Alloys


Dr Adiguzel graduated from Department of Physics, Ankara University, Turkey in 1974 and received PhD- degree from Dicle University, Diyarbakir-Turkey. He has studied at Surrey University, Guildford, UK, as a post doctoral research scientist in 1986-1987, and studied on shape memory alloys. He worked as research assistant, 1975-80, at Dicle University and shifted to Firat University, Elazig, Turkey in 1980. He became professor in 1996, and he has already been working as professor. He published over 60 papers in international and national journals; He joined over 120 conferences and symposia in international and national level as participant, invited speaker or keynote speaker with contributions of oral or poster. He served the program chair or conference chair/co-chair in some of these activities. In particular, he joined in last seven years (2014 - 2020) over 70 conferences as Keynote Speaker and Conference Co-Chair organized by different companies.  He supervised 5 PhD- theses and 3 M.Sc- theses. Dr. Adiguzel served his directorate of Graduate School of Natural and Applied Sciences, Firat University, in 1999-2004. He received a certificate awarded to him and his experimental group in recognition of significant contribution of 2 patterns to the Powder Diffraction File – Release 2000. The ICDD (International Centre for Diffraction Data) also appreciates cooperation of his group and interest in Powder Diffraction File.


A series of alloy systems take place in a class of adaptive structural materials called intelligent materials by giving stimulus response to changes in the external conditions. Shape memory alloys take place in this group by exhibiting a peculiar property called shape memory effect, which is characterized by the recoverability of two certain shapes at different temperatures.  These alloys are cooled deformed plastically and recover the original shape after these processes, and cycle between the deformed and original shapes on cooling and heating, respectively. The strain energy is stored with plastic deformation, and released on heating, by means of reverse austenite transformation. These alloys are used as functional materials in many fields from biomedical to the aeronautical industry. In particular, they are used as deformation absorbent materials in control of civil structures subjected to seismic events. Shape memory effect is initiated by successive cooling and deformation processes and performed thermally by heating and cooling, shape of materials cycle between original and deformed shapes in bulk level, whereas the crystal structure cycles between the twinned and ordered parent phase structures, by means of forward martensitic and reverse austenitic transformations. This behaviour is called thermoelasticity. Shape memory effect is governed by two crystallographic transformations, thermal and stress induced martensitic transformations.  Thermal induced transformation occurs along with lattice twinning on cooling and ordered parent phase structures turn into twinned martensite structures. Twinned martensite structures turn into detwinned martensite structures by means of stress induced transformation by deforming plastically in martensitic condition. Thermal induced martensitic transformation is lattice-distorting phase transformation and occurs as martensite variants with the cooperative movement of atoms in <110>-type directions on {110}-type planes of austenite matrix by means of shear-like mechanism. Martensitic transformations occur by two or more lattice invariant shears on {110}-type planes of austenite matrix which is basal plane or stacking plane for martensite.   In the martensitic transformation, the lattice of high temperature austenite phase has greater crystallographic symmetry than that of the low-temperature product phase. Copper based alloys exhibit this property in metastable β-phase region, which has bcc-based structures at high temperature parent phase field. Lattice invariant shears are not uniform in copper based shape memory alloys, and the ordered parent phase structures martensitically undergo the non-conventional complex layered structures on cooling.  The long-period layered structures can be described by different unit cells as 3R, 9R or 18R depending on the stacking sequences on the close-packed planes of the ordered lattice.  The unit cell and periodicity is completed through 18 layers in direction z, in case of 18R martensite, and unit cells are not periodic in short range in direction z. In the present contribution, x-ray diffraction and transmission electron microscope studies were carried out on two copper based CuZnAl and CuAlMn alloys. These alloy samples have been heat treated for homogenization in the β-phase fields. X-ray diffraction profiles and electron diffraction patterns reveal that both alloys exhibit super lattice reflections inherited from parent phase due to the displacive character of martensitic transformation. X-ray diffractograms taken in a long time interval show that diffraction angles and intensities of diffraction peaks change with the aging time at room temperature. In particular, some of the successive peak pairs providing a special relation between Miller indices come close each other, and this result refers to the rearrangement of atoms in diffusive manner.

Meetings International -  Conference Keynote Speaker Octavian D. Pavel photo

Octavian D. Pavel

University of Bucharest, Romania

Title: Applications of Lanthanide-Modified Ldhs and 2-D Composites Based on Lanthanides-Ldh and go in Fine Chemical Synthesis and Environmental Protection


Pavel OD has completed his PhD in 2006 at University of Bucharest, Romania and Postdoctoral Studies at “Pierre et Marie Curie”, Paris, France. He is Senior Lecturer at the Faculty of Chemistry, University of Bucharest since 2007. He has published 62 papers in reputed journals, being Guest Editor at Catalysts for the Special Issue "Layered Double Hydroxide-Based Catalytic Materials for Sustainable Processes".


The layered materials play an extremely important role in various fields, succeeding in revolutionizing current technology. The panorama of 2D materials has considerably expanded since the publication of the first review paper concerning the potential applications of 2D- Layered Double Hydroxide (LDH) type compounds in 1991 [1], and moreover since 2011 when the synthesis of the first composite based on LDH and graphene oxide (GO) was reported[2]. This contribution presents aspects related to the development of 2D materials based on lanthanide-modified LDH (Ln-LDH) and their application as catalysts for fine chemical synthesis and oxidative removal of organic dyes from wastewater. The discussion will be focused on the role played by: (i) the synthesis method and operational parameters applied; (ii) the nature of the lanthanide modifier (Lanthanum; Cerium; Samarium; Gadolinium; Dysprosium) and (iii) the GO-addition on the physico-structural properties and the memory effect of the resulted 2D materials as well as their catalytic activities for different base catalyzed organic syntheses such as: cyanoethylation of ethanol/methanol, Knoevenagel and Claisen-Schmidt condensations, selective oxidation of alkenes to epoxides, and the oxidative degradation of indigo carmin (IC) from wastewater. Our results showed that the basicity of the investigated solids was well correlated to the electronegativity variation of Ln-modifier and the yield in base-catalyzed reactions. Combining Ln-LDH and graphene oxide leads to a new class of layered composites, Ln-LDH-GO, which exhibit properties that exceed those of the parent components in what concerns not only their mechanical and thermal stabilities but also catalytic performances in Knoevenagel condensation and oxidative removal of IC. Moreover, during Knoevenagel condensation reactions, the HT3Ce-xGO composites showed catalytic performances in strong contrast to neat HT3Ce or GO (which were inactive). The catalytic activity increased with GO-content in the final solids, indicating a better compatibility of the reactants to the active sites.

Meetings International -  Conference Keynote Speaker Umut Aydemir photo

Umut Aydemir

Koç University Boron and Advanced Materials Application and Research Center, Turkey

Title: Metal Diborides as Earth-Abundant High-‎Performance Electrocatalysts for Water Splitting


Umut Aydemir is the director of Koç University Boron and Advanced Materials Application and Research Center (KUBAM) in Istanbul, Turkey. He has conducted his graduate work at the Max Planck Institute for Chemical Physics of Solids in Dresden, Germany. He has been a postdoctoral scholar at the California Institute of Technology and Northwestern University, USA, during 2013-2017. His current research interests include boron-based high-tech materials, thermoelectric energy harvesting and cooling, batteries, superconductors, laser crystals, and materials displaying unusual properties. He is a co-author of over 80 peer-reviewed articles (h-index: 28, Citations: 2244, Source: Google Scholar).


The depletion of fossil fuels, their fluctuating prices, and the ever-growing energy demand led researchers to look for new, clean, abundant, and renewable energy sources. Recent studies demonstrate that it will be unavoidable to accelerate the energy transition from more traditional energy systems to innovative and sustainable alternatives [1]. Hydrogen has great potential to provide economically feasible, financially promising, socially advantageous, and energetically efficient solutions to issues concerning the ever-increasing global energy demand, including global warming [2]. In this respect, hydrogen (H2), as a high energy density (120–140 MJ/kg) and carbon-free fuel, has a dual-functional electrocatalyst for water splitting problems of environmental pollution and fossil fuel depletion. To increase the efficiency and lower the energy consumption of the electrochemical process, they usually need the assistance of electrocatalysts to overcome the large water splitting overpotential. To date noble metal (e.g., Ir, Pd, Ru, Pt) and oxides (e.g., IrO2, RuO2) have exhibited high performance for Hydrogen Evolution Reaction (HER) and Oxygen Evolution Reaction (OER), separately [3]. Unfortunately, the low abundance on earth and high cost inhibit their far-ranging commercial applications. Thus, developing efficient, durable, and cost-effective catalytic materials for HER and OER is crucial, but so far remains a significant challenge. Lately, transition metal-based borides (TMBs) have attracted soaring attention in the fields of energy conversion and storage [4]. An increasing number of publications reveals that some features render TMBs as superb electrocatalysts for water splitting. Compared with other TM-based components, TMBs are endowed with some unique properties for water splitting. This talk will summarize the exciting results of recent studies (including our group) demonstrating the great potential of transition metal borides to be used as bifunctional catalysts for water splitting.

Meetings International -  Conference Keynote Speaker Stefan Zigan photo

Stefan Zigan

Westsächsische Hochschule Zwickau, Germany

Title: Dynamic Process Response Analysis of Particulate Systems Using Geometric Ratios


After graduating as a chemical engineer from the University of Applied Sciences in Berlin, Germany, in 2001 Stefan worked as a process design engineer and did his PhD in 2008. He lectures at the University of Greenwich, UK and the WHZ in Zwickau. Stefan’s research focuses is on scaling and understanding flow and flow assurance problems in multi phase flows.


Practitioners in industry struggle with predicting the flow behaviour of granular materials because the material properties such as size and shape often change during handling and storage processes.  The changing properties of these materials require  significant research efforts in the initial design phase of new handling and storage equipment. The testing equipment used in the design phase is often the size of bench scale testers and, thus, the scaling of results rely on dimensional and dynamical similarity between the bench scale tester and industrial silos. The scalability of processes is often established by using simulation approaches such as CFD/DEM and experiments which are costly and time consuming. This research proposes a new approach on evaluating dynamic systems such as the flow of granular material in industrial silos.  Silos are taken here as homogenisers (big mixers) which mix particles with a large particle size distribution. The first step is to evaluate the flow of material in the silo using established techniques such as optical systems [1] for measuring the movement of fines (particles smaller 100 microns) suspended in air and the shear cell tester for looking at stresses and the discharge characteristic of granular material from  the silo. The two methods were used to find geometric ratios describing the dynamic behaviour of material in bench scale testers.  The geometric ratios are based on symmetry principles.  The symmetry principle applied in this work relates to physical systems and processes that follow the least energetic path to an equilibrium state.  Here we define this equilibrium state as Proportional-Ratio-Symmetry (PRS). PRS was discovered by analysing experimental data and is based on a geometric mean analysis which provides a powerful approach to scale experimental findings from bench scale tests to different scaled equipment.

Meetings International -  Conference Keynote Speaker Isham Alzoubi photo

Isham Alzoubi

School of Surveying Geospatial Engineering, Syria

Title: Prediction of Environmental Indicators in Land Levelling Using Artificial Intelligence Techniques


Alzoubi has completed his PhD at the age of 40 years Tehran University and postdoctoral studies from Tehran University School of Surveying Geospatial Engineering-Department of Surveying and Geomatics Engineering. He is the director at the Directorate of Engineering and Transportation, a premier service organization. He has published more than 15 papers in reputed journals and has been serving as an editorial board member of repute. He Opening and studying the financial offers and the organization of the fundamental record, supervising the efficiency of electrical generators at Nseeb border center, and Supervising the efficiency of agricultural machinery at the ministry of agriculture.



The aim of this work was to determine best linear model Adaptive Neuro-Fuzzy Inference System (ANFIS) and Sensitivity Analysis in order to predict the energy consumption for land leveling. In this research effects of various soil properties such as Embankment Volume, Soil Compressibility Factor, Specific Gravity, Moisture Content, Slope, Sand Percent, and Soil Swelling Index in energy consumption were investigated. The study was consisted of 90 samples were collected from 3 different regions. The grid size was set 20 m in 20 m (20*20) from a farmland in Karaj province of Iran. The values of RMSE and R2 derived by ICA-ANN model were, to Labor Energy (0.0146 and 0.9987), Fuel energy (0.0322 and 0.9975), Total Machinery Cost (0.0248 and 0.9963), Total Machinery Energy (0.0161 and 0.9987) respectively, while these parameters for multivariate regression model were, to Labor Energy (0.1394 and 0.9008), Fuel energy (0.1514 and 0.8913), Total Machinery Cost (TMC) (0.1492 and 0.9128), Total Machinery Energy (0.1378 and 0.9103).Respectively, while these parameters for ANN model were, to Labor Energy (0.0159 and 0.9990), Fuel energy (0.0206 and 0.9983), Total Machinery Cost (0.0287 and 0.9966), Total Machinery Energy (0.0157 and 0.9990) respectively, while these parameters for Sensitivity analysis model were, to Labor Energy (0.1899 and 0.8631), Fuel energy (0.8562 and 0.0206), Total Machinery Cost (0.1946 and 0.8581), Total Machinery Energy (0.1892 and 0.8437) respectively, respectively, while these parameters for ANFIS model were, to Labor Energy (0.0159 and 0.9990), Fuel energy (0.0206 and 0.9983), Total Machinery Cost (0.0287 and 0.9966), Total Machinery Energy (0.0157 and 0.9990) respectively, Results showed that ICA_ANN with seven neurons in hidden layer had better. According to the results of Sensitivity Analysis, only three parameters; Density, Soil Compressibility Factor and, Embankment Volume Index had significant effect on fuel consumption. According to the results of regression, only three parameters; Slope, Cut-Fill Volume(V) and, Soil Swelling Index (SSI) had significant effect on energy consumption. Using adaptive neuro-fuzzy inference system for prediction of labor energy, fuel energy, total machinery cost, and total machinery energy can be successfully demonstrated.

Meetings International -  Conference Keynote Speaker Hui Wang  photo

Hui Wang

School of Physics and Electronics, Central South University, China

Title: Colossal Barocaloric Effects in Plastic Crystals


Prof.  Wang has completed his PhD at the age of 30 years  from University of Chinese Academy of Sciences and Postdoctoral Studies from department of Physics, University of California, Irvine, U.S. He has published ~50 SCI papers with 15 papers being first or corresponding author, mainly includes: Nature, Nature Materials, Nature Communications, Physical Review Letters, Physical Review B, etc.


Solid-state refrigeration technology based on  caloric  effects  is promising to replace the  currently used vapor compression cycles, due to its numerous potentials for reducing electricity consumption and worldwide emission of greenhouse gases. Recent high-pressure experiments have reported that plastic crystal neopentylglycol (NPG) exhibits colossal barocaloric effects (CBCEs) with record-high entropy changes near room temperature, offering exciting prospects for the field of solid-state cooling through the application of moderate pressures. However, the complete microscopic  mechanism  remains  unestablished so as to further push forward the development and application. Here, we conduct a comprehensive study combing density functional theory calculations (DFT) and molecular dynamical simulations (MD), along with Raman spectroscopy and neutron inelastic scattering measurements on NPG plastic crystals. We reveal that the formation of intermolecular hydrogen bond ladder plays a key role in the orientational order of NPG molecules in monoclinic phase, and the  activation  barrier  of orientational disorder is prominently suppressed owing to the hydrogen bond broken in cubic phase, contributing significantly to the entropy changes which substantially lowers the total Gibbs free energy in the monoclinic-to-cubic phase transition. Furthermore, external pressure affect the vibrational frequencies of O-H stretch mode which directly correlates the strength of hydrogen bond, emerging as a promising strategy of tuning the orientational order-to-disorder  that  leads  to CBCEs at desired temperature range. Our study establishes the atomic- scale origin of plastic crystals with CBCEs and provides important guidance to the design of next-generation solid-state refrigeration technology for practical application.

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