UCL and Tech City UK is launching the Digital
Business Academy, the world’s first government-supported online learning
platform to provide digital and business skills for anyone aspiring to start,
grow or join a digital business. The programme is open to all UK residents and
requires no pre-qualification.
Read full article
Multi-disciplinary integration and optimisation in science and engineering
Publication date: Mar 15, 2012 10:45:24 AM
Apr 2, 2012 10:00:00 AM
End: Apr 2, 2012 4:00:00 PM
Location: UCL, Ramsay Lecture Theatre, Christopher Ingold Building, UCL, 20 Gordon St, WC1H 0AJ London
An interdisciplinary workshop bringing together scientists and engineers to discuss methods and applications for the design of chemicals, materials and processes satisfying multiple objectives
The event is hosted by University College London in conjunction with ESTECO and Goldbeck Consulting.
10:00 : Registration and Coffee
10:30 : Welcome (Prof Richard Catlow, UCL)
10:45 : Introduction to multi-disciplinary integration and multi-objective optimisation (Danilo Di Stefano, Esteco)
11:15 : Multi-objective design of drug-like molecules (Prof Val Gillet, University of Sheffield)
11:45 : Automatic evolution of mutants for biocatalysis design (Dr Valerio Ferrario, University of Trieste)
12:15 : Structure prediction and optimisation in solid state material (Prof Richard Catlow, UCL)
12:45 : Lunch and demos of modeFRONTIER software
13:45 : Knowledge Transfer (Prof. Jawwad Darr, UCL)
14:00: Integration and multi-objective optimisation in materials modeling (Dr Gerhard Goldbeck, Goldbeck Consulting Ltd and Dr Pluton Pullumbi, L'Air Liquide)
14:30 : Design of experiment and data analysis with modeFrontier (Esteco speaker)
15:00 : Discussion
15:30 : Close
Who should attend
Scientists and Engineers in chemicals, materials, pharmaceuticals and biocatalysis research.
Researchers with an interest in modeling and scientific informatics.
Why should I attend?
Find out how different disciplines approach optimisation.
Learn how to arrive quickly at solutions that meet a range of objectives.
Learn about Design of Experiment and Data Analysis methods for modeling.
Find out how you can benefit from methods widely used in engineering design.
Look “outside the box”: meet with scientists from different disciplines.
What is Multi-disciplinary Integration and Optimisation?
Multi-disciplinary integration and optimisation has been developed in engineering as an approach solve design problems incorporating a number of disciplines. As defined by Prof. Carlo Poloni, it is "the art of finding the best compromise".
Multi-disciplinary integration and optimisation aims to incorporate all relevant phenomena and disciplines simultaneously. The optimum of the simultaneous problem is superior to that found by optimizing each discipline sequentially, since it takes the interactions between the disciplines into account.
- Presentations covering optimisation applications in different disciplines
- Software demonstrations
- Opportunities for networking
- Refreshments & lunch
- Attendance is free of charge.