The goal of the symposium is to discuss the latest advanced on exploring the power for self-driving labs (SDLs), which combine AI, automation, and advanced computing to accelerate materials discovery and their applications. Talks will be focused but not limited to using automation in the area of electrochemistry, in particular batteries, photocatalysis and electrocatalysis for fuels and chemicals production (Power to X).
We will discuss the latest findings in accelerating physical based models based on DFT and ML, in developing software and machine learning algorithms to aid high throughput experiments and also the latest developments in robotics assisting high throughput experimentation. We plan talks for leaders in this field from important consortia such as “Canada Acceleration Consortium”, CAPEX in DK, Full Map and Big Map EU projects on batteries, etc
- Advances in computational methods for materials discovery
- Digitalisation and Data
- High throughput experimentation and self driving labs
University of Bern since 1.2.2016
Professor in Chemistry
University of Copenhagen 2010 – 2016
Associate Professor in Chemistry
Technical University of Munich 2006 – 2010
Independent Emmy Noether Group Leader
University of Ulm and TU-Munich 2004 – 2006
Research and Teaching Associate in the Group of Prof. U. Heiz
Lawrence Berkeley National Laboratory, USA 2002 – 2004
Postdoctoral Researcher in the Group of Dr. P.N. Ross
Taro HitosugiKim Jelfs is a Senior Lecturer and Royal Society University Research Fellow (URF) in the Department of Chemistry at Imperial College London, UK. Kim specialises in the use of computer simulations to assist in the discovery of supramolecular materials. After a PhD modelling the crystal growth of zeolites at UCL, she worked as a post-doc across the experimental groups at the University of Liverpool, before beginning her independent research at Imperial College in 2013. She was awarded a Royal Society of Chemistry Harrison-Meldola Memorial Prize in 2018 and holds an ERC Starting Grant.
Jiang Jun, currently a Chair Professor at the University of Science and Technology of China, has accumulated remarkable achievements throughout his academic journey. In 2011, He was honorably selected for the first batch of the Youth Program under the National Major Talent Project. Two years later, in 2013, he was appointed Chief Scientist of the Key Project of Chinese National Programs for Fundamental Research and Development (973 Program), receiving an exemplary evaluation upon its completion. In 2020, Professor Jiang was awarded funding from The National Science Fund for Distinguished Young Scholars Program, and the following year, he was named the core leader of the Youth Team of AI-Chemist at the Chinese Academy of Sciences, underscoring his exceptional leadership and influence in scientific research.
For many years, Professor Jiang has been deeply involved in theoretical and intelligent chemistry research, striving to integrate artificial intelligence and big data technologies to pioneer new methodologies in quantum chemistry. Building on this foundation, he successfully developed the world's first data intelligence-driven AI-Chemist platform, establishing a new paradigm for intelligent chemistry research and enhancing research efficiency by 2 to 5 orders of magnitude through the deep fusion of theory and practice, thereby revolutionizing the scientific community.
Beyond his research endeavors, Professor Jiang is also an avid advocate for the Alliance of AI Scientist Ecosystem. He led the establishment of the alliance and launched the AI-Chemist instruction set, operating system, and experimental template library. These initiatives have had a profound and widespread impact in academia, fostering cross-integration and innovative development in intelligent science and chemistry research.
In terms of academic output, Professor Jiang has authored over 240 papers in prestigious international journals like Nature Synthesis, Nature Chemistry, Nature Catalysis, and the Journal of the American Chemical Society (JACS). Additionally, he has secured over 50 patents in intelligent chemistry, robotics, and new materials, further testament to his outstanding contributions to scientific innovation.
Moreover, Professor Jiang is the founding editor-in-chief of AI Chemistry, Elsevier's leading journal in intelligence research, and his academic contributions have garnered widespread recognition within the field. He has been honored with prestigious awards such as Chinese Chemical Society Tang Ao-Chin Youth Award on Theoretical Chemistry, the Anhui Youth Science and Technology Award, and the Asian Distinguished Lectureship Award from the Chemical Society of Japan. These accolades not only affirm his personal achievements but also celebrate his exemplary contributions to scientific research.
Benjamin MossBen was awarded his PhD in 2020, working in the group of James Durrant, studying photocatalytic materials for water splitting using transient diffuse reflectance at Imperial College London. Following post-doctoral work developing automated optical spectroscopies for electrochemistry with Prof. Ifan Stephens, Ben was awarded a Schmidt AI in Science Fellow at the iX institute at Imperial College London, working with Prof. Aron Walsh to develop new algorithms to analyse operando spectroscopies In the Mantiram group, Ben is a Lindeman postdoctoral fellow focusing on combining interpretable machine learning algorithms with high throughput operando spectroscopies. Outside of this research, Ben is committed to the development of open-source hardware for spectroscopies, providing his designs at www.opensourcespectroscopy.com.
Keisuke NagatoRyo Tamura is Team Leader at Center for Basic Research on Materials (CBRM) in National Institute for Materials Science (NIMS). He has worked in the field of materials science, in particular, his research interests focus on materials informatics and automated materials explorations. He obtained his Ph.D. in 2012 from Graduate School of Science, University of Tokyo.
Prof. Aron Walsh holds the Chair in Materials Design at Imperial College London. He received his PhD in Chemistry from Trinity College Dublin and later worked at the National Renewable Energy Laboratory, University College London, and the University of Bath. His research combines technique development and applications at the interface between solid-state chemistry and physics. He was awarded the EU-40 prize from the Materials Research Society for his work on the theory of solar energy materials, and is an Associate Editor for the Journal of the American Chemical Society.