Track C
Computational Tools in Materials Synthesis and Processing Science
Conveners:
Yury GOGOTSI, Drexel University, USA
Celine MERLET, Paul Sabatier University, Toulouse, France
Members:
Tapio ALA-NISSILA, Aalto University, Finland
Neil L. ALLAN, University of Bristol, UK
Ferdinando AURICCHIO, University of Pavia, Italy
Florence BARAS, Université Bourgogne Franche Comté, France
Vasily V. BULATOV, Lawrence Livermore National Laboratory, USA
Alessandro CURIONI, IBM Zurich, Switzerland
Jeff DERBY, University of Minnesota, USA
Cristiana DI VALENTIN, Università degli Studi di Milano Bicocca, Italy
Jacob FISH, Columbia University, USA
Emanuele GHEDINI, University of Bologna, Italy
Panagiotis GRAMMATIKOPOULOS, Guangdong Technion – Israel Institute of Technology, China
Dietmar KOCH, University of Augsburg, Germany
Evgeny A. LEVASHOV, National University of Science and Technology "MISIS", Russia
Zhong-Yuan LU, Jilin University, China
Nicola MARZARI, EPFL, Switzerland
Jagadish NARAYAN, North Carolina State University, USA
Eugene OLEVSKY, San Diego State University, USA
Ivar E. REIMANIS, Colorado School of Mines, USA
Jerzy ROJEK, Institute of Fundamental Technological Research, Poland
Jinlong YANG, University of Science & Technology of China, China
Yang Hui YING, Singapore University of Technology and Design, Singapore
Frank W. ZOK, University of California, Santa Barbara, USA
Yury GOGOTSI, Drexel University, USA
Celine MERLET, Paul Sabatier University, Toulouse, France
Members:
Tapio ALA-NISSILA, Aalto University, Finland
Neil L. ALLAN, University of Bristol, UK
Ferdinando AURICCHIO, University of Pavia, Italy
Florence BARAS, Université Bourgogne Franche Comté, France
Vasily V. BULATOV, Lawrence Livermore National Laboratory, USA
Alessandro CURIONI, IBM Zurich, Switzerland
Jeff DERBY, University of Minnesota, USA
Cristiana DI VALENTIN, Università degli Studi di Milano Bicocca, Italy
Jacob FISH, Columbia University, USA
Emanuele GHEDINI, University of Bologna, Italy
Panagiotis GRAMMATIKOPOULOS, Guangdong Technion – Israel Institute of Technology, China
Dietmar KOCH, University of Augsburg, Germany
Evgeny A. LEVASHOV, National University of Science and Technology "MISIS", Russia
Zhong-Yuan LU, Jilin University, China
Nicola MARZARI, EPFL, Switzerland
Jagadish NARAYAN, North Carolina State University, USA
Eugene OLEVSKY, San Diego State University, USA
Ivar E. REIMANIS, Colorado School of Mines, USA
Jerzy ROJEK, Institute of Fundamental Technological Research, Poland
Jinlong YANG, University of Science & Technology of China, China
Yang Hui YING, Singapore University of Technology and Design, Singapore
Frank W. ZOK, University of California, Santa Barbara, USA
Francesco BAINO, Politecnico di Torino, Italy
Suelen BARG, University of Augsburg, Germany
Tadeusz BURCZYNSKI, Institute of Fundamental Technological Research, Poland
Paola CARBONE, University of Manchester, UK
Jeff DERBY, University of Minnesota, USA
Giorgia FRANCHIN, University of Padova, Italy
Jochen FRIEDRICH, Fraunhofer IISB, Germany
Hannes JONSSON, University of Iceland, Iceland
Zhenyu LI, University of Science and Technology of China, China
Olivier POLITANO, Université de Bourgogne, France
Talid SINNO, University of Pennsylvania, USA
Vladyslav TURLO EMPA Switzerland
Stepan VOROTILO, King Abdullah University of Science and Technology, Saudi Arabia
Xiaojun WU, University of Science and Technology of China, China
Masahiro YOSHIMURA, National Cheng Kung University, Taiwan
Junlei ZHAO, Southern University of Science and Technology, China
Suelen BARG, University of Augsburg, Germany
Tadeusz BURCZYNSKI, Institute of Fundamental Technological Research, Poland
Paola CARBONE, University of Manchester, UK
Jeff DERBY, University of Minnesota, USA
Giorgia FRANCHIN, University of Padova, Italy
Jochen FRIEDRICH, Fraunhofer IISB, Germany
Hannes JONSSON, University of Iceland, Iceland
Zhenyu LI, University of Science and Technology of China, China
Olivier POLITANO, Université de Bourgogne, France
Talid SINNO, University of Pennsylvania, USA
Vladyslav TURLO EMPA Switzerland
Stepan VOROTILO, King Abdullah University of Science and Technology, Saudi Arabia
Xiaojun WU, University of Science and Technology of China, China
Masahiro YOSHIMURA, National Cheng Kung University, Taiwan
Junlei ZHAO, Southern University of Science and Technology, China
Subject area are treatments from atomistic/mesoscopic to finite element analysis and multiscale and data-driving approaches of the wide range of physical-chemical events that are involved in the development of the structure and properties of materials during their processing, such as: self-assembly mechanisms, nanosize effects; molecular interactions, point defects and dislocations dynamics, interface and surface dynamics, phase separation and coarsening, defect/grain boundary interactions, multiple driving forces, competing kinetic mechanisms, colloidal and surface chemistry, rheology of suspensions and plastic masses, compaction, sintering, wetting and adhesion mechanisms, thermodynamics and kinetics of reaction bonding and of self-combustion and deposition processes, high pressure/shock wave/ microwave and energy beam effects…
Abstracts contributing novel design concepts, down to the atomic scale, for facilitating materials development by tackling single specific processes and mapping the relationships between structure and chemical and physical properties are welcome and will turn out especially attractive if experimentally validated.
Abstracts contributing novel design concepts, down to the atomic scale, for facilitating materials development by tackling single specific processes and mapping the relationships between structure and chemical and physical properties are welcome and will turn out especially attractive if experimentally validated.
Session Topics
C-1 0D, 1D and 2D nanomaterials and nanostructures
C-2 Soft condensed matter systems
C-3 Powders, granular materials, single crystal growth
C-4 3D-bulks, composites and porous materials
C-5 Thin/thick films, layered structures and surface processing
C-6 Additive manufacturing of multiscale and multi-material structures
C-7 Data driven, machine learning to accelerate and optimize materials processing