Summary
I’m a Research Associate in the Applied Modelling and Computation Group at Imperial College London, UK.
My research involves simulating real materials on a computer to unveil the physical phenomena that can help solving industrial problems, optimise processes and lead to new discoveries in material science.
Here are some direct applications of my research:
- More resistant catalytic pellets can reduce costs in the production of hydrogen, ammonia and other industrial chemicals while reducing energy consumption and industrial waste.
- A better understanding of jet drilling processes can enhance the productivity of geothermal wells and reduce the costs for renewable energy.
- Stronger and more reliable engineered materials can help build safer and cheaper infrastructures.
You can find more on www.adofarsi.com
Education
Imperial College London
2013-2017
Doctor of Philosophy (PhD), Computational Mechanics
Politecnico di Milano
2010-2013
Master of Science (MSc), Structural (Civil) Engineering
Politecnico di Milano
2007-2010
Bachelor of Science (BSc), Building Engineering
Liceo Scientifico
2002-2007
Maturità Diploma, Physics & Mathematics (P.N.I.)
Publications
Journals
Farsi A, Pullen AD, Latham JP, et al., 2017, Full deflection profile calculation and Young's modulus optimisation for engineered high performance materials, Scientific Reports, Vol:7, ISSN:2045-2322
Conference
Farsi A, Xiang J, Latham JP, et al., Does shape matter? FEMDEM estimations of strength and post failure behaviour of catalyst supports, 5th International Conference on Particle-Based Methods
Xiang J, Latham JP, Farsi A, 2017, Algorithms and capabilities of solidity to simulate interactions and packing of complex shapes, DEM 7, Pages:139-149, ISSN:0930-8989
Farsi A, Xiang J, Latham J, et al., 2015, An application of the finite-discrete element method in the simulation of ceramic breakage: methodology for a validation study for alumina specimens, IV International Conference on Particle-based Methods – Fundamentals and Applications, International Center for Numerical Methods in Engineering (CIMNE), Pages:921-932