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- Published: 4th October 2026
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Personal statement example
For most of my final year, an old laptop sat on the shelf in our hallway running simulations overnight. My brother complained about the fan noise. Each morning I checked how many sweeps had finished before walking him to school. That laptop carried my undergraduate project, a Monte Carlo study of the two-dimensional Ising model. It is also the clearest evidence I can offer of why I want to continue into postgraduate study in physics.
The Ising model attracted me because it is so plain: spins on a square lattice that can point up or down, each interacting only with its neighbours. Yet it produces a genuine phase transition. I knew from lectures that Onsager had solved the two-dimensional case exactly, giving a critical temperature of about 2.269 in units of the coupling constant over Boltzmann's constant. My aim was to see how closely a simulation could recover that value, and to understand why it was hard.
I wrote a Metropolis algorithm in Python and soon found that near the critical point it became painfully slow. Large clusters formed and the system barely changed between sweeps. Reading about critical slowing down explained what I was seeing. I then implemented the Wolff cluster algorithm, which flips whole correlated regions at once, and compared the autocorrelation times of the two methods. Watching the Wolff runs settle in a fraction of the time was one of the most satisfying moments of my degree.
The second half of the project used finite-size scaling. I simulated lattices from 16 by 16 up to 128 by 128 and located where the Binder cumulant curves crossed. That crossing gave an estimate of the critical temperature that agreed with Onsager's result within my statistical uncertainty. I learned to estimate errors properly using blocking, which matters because successive samples are correlated. My supervisor pushed me to explain every assumption in the write-up. I now see that this habit is worth more than the final number.
The project made me want to understand the theory beneath the simulation, not just the code. In my own time I have been working through the renormalisation group chapters of a standard statistical mechanics textbook, and reading about universality, the idea that very different systems share the same critical exponents. At postgraduate level I hope to study statistical and condensed matter physics more rigorously, including field-theoretic methods I met only briefly as an undergraduate. I would also like to keep developing my computational skills alongside the analytical ones.
Outside my studies, I work four evenings a week in a hardware shop. The work is ordinary but useful. I cut keys, mix paint to match colour cards and help customers work out which fixings suit their walls. Explaining to someone why a plasterboard anchor will fail under a heavy shelf is a small exercise in clear communication. I have also become reliable at stocktaking, which is less glamorous than it sounds. Most weekdays I take my younger brother to school because my parents start work early. Keeping to that routine during my final-year exams taught me to plan my study time realistically.
I also sing tenor in a community choir that meets on Thursday evenings. It has nothing to do with physics, though I admit I have wondered about the acoustics of the church hall where we rehearse. Mostly it is a place where I am a beginner among people who have sung for decades, and I enjoy that.
I have been improving my Spanish through evening classes and daily reading, as I would welcome studying and living in a Spanish-speaking environment. I am ready for the step from carefully guided projects to more independent research. I would bring patience with slow problems, careful habits with data, and a real wish to understand why simple rules produce complicated behaviour.