Plenary/Invited speakers and talks in DCTMD2024:
(The list is consistently updated and please click the name for the speaker’s bio and the title of talk for the abstract if available.)
Plenary speakers:
* Roberto Car, Princeton University, USA
* Yanming Ma, Jilin University, China
* Berend Smit, Swiss Federal Institute of Technology in Lausanne (EPFL, Switzerland)
* Chris Wolverton, Northwestern University, USA
* Lucas Foppa, Fritz Haber Institute (FHI) of the Max Planck Society, Germany
* Xiaonan Wang, Tsinghua University, China
-Talk: AI Foundation models and Active Learning for Materials Discovery and Process Design
Invited speakers:
* T. Daniel Crawford, Virginia Tech, USA
* Jun Jiang, University of Science and Technology of China, China
* Alexandre Tkatchenko, Luxembourg University, Luxembourg
-Talk: Accurate and efficient biomolecular dynamics enabled by machine-learned force fields
* Yuanyuan Zhou, Technical University of Denmark (DTU), Denmark
* Linfeng Zhang, DP Technology, China
* Karmen Čondić-Jurkić, Open Molecular Software Foundation, New Zealand
-Talk: Generating public datasets for chemistry
* Yong Xu, Tsinghua University, China
-Talk: First-principles artificial intelligence
* Junfeng Qiao, Swiss Federal Institute of Technology in Lausanne (EPFL), Switzerland
* Runhai Ouyang, Shanghai University, China
-Talk: Symbolic Regression in Materials Informatics: Applications and Challenges
* Taylor Sparks, The University of Utah, USA
* Lauren Takahashi, Hokkaido University, Japan
-Talk: Ontology and the role of semantics in the development of knowledge-based materials databases
* Timon Rabczuk, The Bauhaus-Universität Weimar, Germany
* Xiaoying Zhuang, Leibniz University Hannover, Germany
-Talk: Machine learning based multiscale exploration and characterization of 2D materials
* Zhipan Liu, Fudan University, China
* Carla Verdi, The University of Queensland, Australia
-Talk: Accurate materials modeling by machine learning and beyond DFT methods
* Sergey V. Levchenko, Skolkovo Institute of Science and Technology (Skotech), Russia
* Turab Lookman, AiMaterials Research LLC, USA
-Talk: How Landau theory can guide data science to find materials with targeted response
* Annette Trunscke, Fritz Haber Institute (FHI) of the Max Planck Society, Germany
-Talk: Creating Synergies between Experimental and Computational Approaches in Advanced Materials Design: Importance and Challenges of Clean Data
* Keisuke Takahashi, Hokkaidao University, Japan
* Rampi Ramprasad, Georgia Tech, USA
-Talk: Polymer Informatics: Algorithmic Advances & Materials Design
* Lixue Cheng, Microsoft Research AI for Science Lab
* Jungho Shin, Korea Research Institute of Chemical Technology, South Korea
…More speakers will be added soon…
Dr. Runhai Ouyang (DCTMD2024@163.com)