The London Mathematical Laboratory has signed a new research agreement with the Institute of Physics at the National Autonomous University of Mexico (UNAM) in Mexico City.
The London Mathematical Laboratory (LML) invites applications to its 2019 Summer School. This will be held at the Abdus Salam International Centre for Theoretical Physics (ICTP) in Trieste, Italy from Monday 8th July to Friday 2nd August 2019. Postgraduate students will spend four weeks researching a project under the supervision of LML Fellows and colleagues […]
Monte Carlo experiments use computation and repeated random sampling to obtain numerical estimates for various natural or mathematical processes.
The LML Summer School for 2018 ran from mid-July to mid-August and was a great success, with eight students collaborating on projects supervised by LML Fellows. The students made their final presentations on 17 August, and these are now available online, links given below.
Random matrix theory is central to the study of the properties of strongly correlated systems in condensed matter physics and related fields, where important physical quantities are surprisingly well reflected by the joint probability density of the eigenvalues of random matrices.
From earthquakes driven by continental drift to businesses altering their strategies in response to customers’ behaviour, many complex systems exhibit highly unpredictable dynamics, fluctuating episodically between periods of relative quiescence and bursts of activity.
Modern computing technology has brought about the era of Big Data, and a host of new challenges concerning how to analyse high-dimensional data for problems ranging from studies of climate to genetics, biomedical imaging to economics.
Rafael Díaz Hernández Rojas, a MSc student of our LML External Fellow Isaac Pérez Castillo, has been awarded the medal Juan Manuel Lozano Mejía 2017 for the best MSc thesis at the Institute of Physics at UNAM.
One of our LML External Fellows, Isaac Pérez Castillo from the Institute of Physics at UNAM Mexico, has been awarded the “Catédra Marcos Moshinsky 2017” in the area of Physical Sciences.
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