Eventbrite Link: https://ai3sd-autumn-series-241121.eventbrite.co.uk/

Description:
This seminar forms part of the AI3SD Online Seminar Series that will run across the autumn (from October 2021 to December 2021). This seminar will be run via zoom, when you register on Eventbrite you will receive a zoom registration email alongside your standard Eventbrite registration email. Where speakers have given permission to be recorded, their talks will be made available on our AI3SD YouTube Channel. The theme for this seminar is Digital Twins. 

Agenda

• 10:00-10:45: The Universal Digital Twin – accessing the world of chemistry – Professor Markus Kraft (University of Cambridge)

Abstracts & Speaker Bios

• The Universal Digital Twin – accessing the world of chemistry – Professor Markus Kraft: In my talk I shall present the “universal digital twin” (UDT) and some of its applications in the realm of chemistry. The UDT is a dynamic knowledge graph and is implemented using technologies from the Semantic Web. It is composed of concepts and instances that are defined using ontologies, and of computational agents that operate on both the concepts and instances to update the dynamic knowledge graph. By construction, it is distributed, supports cross-domain interoperability, and ensures that data is connected, portable, discoverable and queryable via a uniform interface. We present a small number of use cases that demonstrate the ability of the dynamic knowledge graph to host and query chemical knowledge, control chemistry experiments and combine it with geospatial data. For example, we shall present Marie, which is a proof-of-concept Question Answering system for accessing chemical data in the UDT.
  Bio: Prof Markus Kraft is a Fellow of Churchill College Cambridge and Professor in the Department of Chemical Engineering and Biotechnology. He is the director of CARES ltd., the Singapore-Cambridge CREATE Research Centre. He is also a principal investigator of “Cambridge Centre for Carbon Reduction in Chemical Technology (C4T)”. He obtained the academic degree ‘Diplom Technomathematiker’ at the University of Kaiserslautern in 1992 and completed his Doctor rerum naturalium in Technical Chemistry at the same University in 1997. Subsequently, he worked at the University of Karlsruhe and the Weierstrass Institute for Applied Analysis and Stochastics in Berlin. In 1999 he became a lecturer in the Department of Chemical Engineering, University of Cambridge. He has a strong interest in the area of computational modelling and optimisation targeted towards developing carbon abatement and emissions reduction technologies for the automotive, power and chemical industries. He has contributed significantly towards the detailed modelling of combustion synthesis of organic and inorganic nanoparticles and worked on engine simulation, spray drying and the granulation of fine powders. More recently, he has been working on cyber physical systems employing time varying knowledge graphs with the aim to build large cross domain applications that help to reduce energy consumption and harmful emissions.