- Mathew Cherukara leads the Computational X-ray Science (CXS) group at the Advanced Photon Source (APS) at Argonne National Laboratory. The group develops algorithms, computational tools and AI/ML models to analyze and interpret data from the various x-ray characterization techniques performed at the APS. His personal research is in AI-enabled materials characterization and AI-accelerated materials modeling. He has particular interest in the development of novel x-ray and electron imaging capabilities that are only made possible because of AI. Mathew received his Ph.D from Purdue University in 2015 and his bachelors from the Indian Institute of Technology (IIT) Madras in 2010, both in computational materials science. He has 4 patent applications and has published over 50 peer-reviewed papers.
Mathew J Cherukara and Arun Mannodi-Kanakkithodi 2022 Modelling Simul. Mater. Sci. Eng. 30 034005
Arun Mannodi Kanakkithodi
- Arun Mannodi Kanakkithodi is an assistant professor in Materials Engineering at Purdue university. He received his PhD in Materials Science and Engineering from the University of Connecticut in 2017, and worked as a postdoctoral researcher at the Center for Nanoscale Materials in Argonne National Laboratory from 2017 to 2020. His research involves using first principles computational modeling, machine learning, and materials informatics to drive the design of new materials for energy-relevant applications. The primary methods used in his research group are quantum mechanics-based density functional theory (DFT) and regression/optimization techniques based on neural networks, Gaussian processes, and random forests.
Arun Mannodi-Kanakkithodi 2022 Modelling Simul. Mater. Sci. Eng. 30 044001
Manas V Upadhyay
- Manas V Upadhyay is an Assistant Professor in the Department of Mechanics of the Ecole Polytechnique (France). He holds a researcher position in the Solid Mechanics Laboratory (LMS) of the Ecole Polytechnique and the CNRS, where he is currently leading the research activities of the MoSES (Modeling Simulation and Experimental Synergy) group. He obtained his PhD in Mechanical Engineering in 2014 from the Georgia Institute of Technology (USA) under the supervision of Dr Laurent Capolungo. He did his post-doctoral research under the supervision of Dr Helena Van Swygenhoven at the Paul Scherrer Institute (Switzerland). His general research interest is to engineer microstructures in order to obtain desired material properties and response using an experiment-modeling-simulation-based synergistic approach. His current research focus is on tailoring microstructures fabricated via metal additive manufacturing. He is a recipient of the European Research Council’s (ERC) Starting Grant 2020. For more details on his professional activities, please visit www.manas-upadhyay.com
Manas Vijay Upadhyay and Jérémy Bleyer 2022 Modelling Simul. Mater. Sci. Eng. 30 034002
- Yinan Cui is currently an associate professor in school of aerospace of Tsinghua University. Her research focuses on developing novel multiscale and multiphysics coupled mechanical theory and computational methods, disclosing the physical origins of material deformation and failure, and designing structures which are more resilient to severe environments (eg. irradiation, shock loading). She has published over 40 papers in peer reviewed journals, such as PRL, JMPS, IJP, Material today etc, wrote 2 books, and obtained Springer outstanding PhD thesis award etc. She is the guest editor of 2 special issues, chair of several sessions in international conference.
- Junkai Deng received his PhD from Xi’an Jiaotong University of China in 2011. During the PhD degree, he finished the joint-PhD program for two years at the group of Prof. Xiaobing Ren in National Institute for Materials Science of Japan. After the PhD degree, he was a postdoc at Monash University of Australia with Dr. Zhe Liu and Medhekar Nikhil. From 2013, he returned to Xi’an Jiaotong University and is currently a full professor. His research interests are focused on low-dimensional materials, ferroic smart materials, and advanced energy materials studied by modern computational tools.
Xudong Zhang et al 2021 Modelling Simul. Mater. Sci. Eng. 29 084001
- Matthew (Matt) Kroonblawd is a staff scientist at Lawrence Livermore National Laboratory, where he started as a postdoc under Nir Goldman following a PhD in Chemistry from the University of Missouri under Tommy Sewell. He is focused on developing computational approaches to understand interconnections between the mechanical, thermal, and chemical responses of molecular materials under nonequilibrium conditions. His work is rooted in molecular dynamics modeling and forages physically motivated connections to mesoscale and continuum theory. His primary research interests include mechanochemistry, shock physics, transport, material aging, and mathematical methods as applied to explosives, organic small molecules, polymers, and surfaces.
Matthew P Kroonblawd et al 2022 Modelling Simul. Mater. Sci. Eng. 30 014004
- Francesco Maresca is assistant professor in Mechanics and Materials Engineering at the University of Groningen (Netherlands) since 2019. He leads the Multi-Scale Mechanics group and supervises several PhD students. His research focuses on the multiscale modelling of fracture, phase transformations and dislocation plasticity in multi-phase alloys. Francesco graduated cum laude in Civil Engineering at the University of Florence (Italy, 2011). He received his PhD cum laude in Mechanical Engineering at the Eindhoven University of Technology (2015, Netherlands), supervised by Prof. Marc Geers and Prof. Varvara Kouznetsova. Francesco was postdoctoral researcher at EPFL (2015-2019, Switzerland), supervised by Prof. William Curtin.
L La Rosa and F Maresca 2022 Modelling Simul. Mater. Sci. Eng. 30 014003
- Ryan Sills received his B.S from Cornell University, his M.S. from the University of Michigan, and his Ph.D. from Stanford University, all in Mechanical Engineering. Prior to joining the faculty in Materials Science and Engineering at Rutgers University in September 2019, he was a Staff Member at Sandia National Laboratories in Livermore, CA for 9 years. At Sandia, he served as a design engineer, researcher, and Principal Investigator for a research program on the mechanics and aging of hydrogen storage materials. He presently leads the microMechanics of Deformation (?MOD) Research Group at Rutgers, which uses multiscale materials modeling to understand how micromechanics influence the mechanical behaviors of materials. In January 2021, he received a Young Investigator Program award from the Army Research Office.
Nipal Deka and Ryan B Sills 2022 Modelling Simul. Mater. Sci. Eng. 30 024002
- Tomohito Tsuru is a Principal Researcher at Japan Atomic Energy Agency (JAEA). His research interests are in computational materials design with particular emphasis on the study of defect mechanics. He also has extensive experience in large-scale atomistic simulations and density-functional theory. Prior to joining JAEA, he received his BS, MS, and PhD in Mechanical Science and Engineering from Osaka University.
Tomohito Tsuru et al 2022 Modelling Simul. Mater. Sci. Eng. 30 024003
- 2021年影响因子：2.421 Citescore：3.9
- Modelling and Simulation in Materials Science and Engineering（MSMSE，材料科学与工程的建模与模拟）服务于多学科的材料领域，发表推动研究人员对材料性状的理解和预测的最新研究（从原子论到宏观尺度）。研究领域包括：材料科学的建模/模拟；跨学科研究，解决具有挑战性和复杂性的材料问题；促进材料科学和工程基础之间联系的研究；以及各类型的材料的机械、微观结构、电子、化学、生物和光学性质。最近还新增了多尺度材料建模和不确定性量化的内容。期刊最近还设立了一个关于多尺度材料建模和不确定性量化的专题项目。