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UNDERGRADUATE
THEORETICAL
PHYSICIST -
OLIVER BURCH

EXPLORE CV

Selected Work

August 2026
Movement Ecology & AI

What Can a Language Model Do for a Movement Ecologist? Reading Data and Generating Hypotheses

Two studies benchmarking four language models on a partially migratory elk herd with a published analysis of its decline in migration. Study 1 hands the models 234 elk-years of GPS telemetry under three framings — no context, the real system named, and a false species label — and scores how much structure they recover. Study 2 removes the data entirely and supplies an inventory of datasets diluted with plausible decoys, asking each model to design a study around them. Dataset selection is near-ceiling and undisturbed by dilution; structure recovery is shallow. The models most careful with the numbers were the least willing to question a false premise handed to them.

April 2026
Computational Dynamics

A Topological Assessment of the RK4 Method for Chaotic Driven Damped Pendulums

An assessment of the RK4 method's performance in modelling the chaotic dynamics of a simulated damped driven pendulum, successfully capturing topological features including braiding and unstable periodic orbits.

March 2026
Quantum Mechanics

Your Future, Quantised: The Practical Superpowers of Quantum Mechanics

A co-authored group review of the current and future potential of quantum mechanical applications to technology, with a particular interest in their contributions to the United Nations' Sustainable Development Goals.

Dec 2025
Molecular Dynamics

On the Components of Kinetic Energy During a Barostatted Molecular Dynamics Simulation of Methanol Diffusion in Water

A barostatted molecular dynamics simulation of methanol in the TIP3P model of water, run in AMBER with SHAKE constraints, used to estimate the translational, rotational and vibrational components of the methanol molecules' kinetic energy, with a discussion of the evidence for and against the result and of techniques for working with large simulation datasets.

Oliver Burch Portrait
BIOGRAPHY

What I Work On

I am a third-year undergraduate studying an MPhys in Theoretical Physics at the University of Sheffield.

Most of my work is computational; building pipelines for simulations of particle and plasma physics from source — particle-in-cell plasma runs, parton showering, detector-level signatures — and written projects on the numerical integration of chaotic systems and the molecular dynamics of methanol in water. I have also spent a summer researching movement ecology and AI under the supervision of Prof. Potts and Dr Xing, using GPS telemetry data from the Ya Ha Tinda elk herd to write a comparative report on the responses of four language models. This year, for my Level 3 project with Prof. Sarah Harris, I am running AMBER molecular dynamics simulations of drug–DNA binding, testing whether a staged NPT, NVT then NVE protocol reduces the noise in binding free energy calculations.

This site holds a record of that work: papers, coursework, self-led projects, and the reading enabling them.

Self-Led Projects

Work begun outside of coursework and carried out independently: theory written up for its own sake, and simulation pipelines built from source to learn the tooling used in plasma and particle physics.

Self-Directed | AI-Assisted Exploration | 2026

A Nod to the Geometry of Holes

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A geometric theory of cavities built on a single invariant - aperture cardinality - developed first into a trichotomy of sealed voids, pockets, and through-holes, then argued to be a coarsening of the true structure. A unification theorem shows that every pocket arises as the Hausdorff limit of through-holes via aperture-merge deformations, collapsing the trichotomy into a natural dichotomy: voids and holes, with pockets occupying the lowest stratum of a filtration of hole-space.

This paper was written with substantial AI assistance, as disclosed in its acknowledgements. It is unrefereed exploratory work, and several of the proofs are currently being reworked. It is listed here for the record rather than as a finished result.

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Self-Directed | Simulation Project | EPOCH

Particle-in-Cell Simulation of Laser-Driven Wakefields in Dense Plasma

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A Particle-in-Cell (PIC) simulation built from source, demonstrating a high-intensity laser pulse travelling through a dense plasma medium and successfully extracting and plotting the longitudinal accelerating wakefield it generates. The repository contains the input deck, build configuration, and post-processing scripts used to reconstruct the field structure.

EPOCH 1D: Laser Plowing Through Dense Plasma

Self-Directed | Simulation Project | Pythia8 + QBH

Microscopic Black Hole Decay and Parton Hadronisation

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Linked two distinct physics engines — QBH for microscopic black hole production and Pythia8 for parton showering — to model the decay of a microscopic black hole, simulating how the Strong Nuclear Force causes its partons to hadronise into massive particle jets visible in a detector event display.

Detector Event Display of a Microscopic Black Hole Decay

Self-Directed | Simulation Project | MadGraph + Delphes

Detector-Level Simulation of Neutralino Dark Matter Signatures

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Modelled neutralino dark matter production using a two-step pipeline: generating raw parton-level collision kinematics with MadGraph, then applying Delphes to simulate realistic detector limitations and calculate the observable Missing Transverse Energy (MET) — the canonical signature of weakly-interacting dark matter at colliders.

Transverse Momentum of Simulated Dark Matter (Neutralinos) Dark Matter Signal: Missing Transverse Energy

Self-Directed | Review Article | 2023

Antimatter - A Look Into the Future of Energy

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Archive & Research Index

Summer Research | Research Report | 2026

What Can a Language Model Do for a Movement Ecologist? Reading Data and Generating Hypotheses

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Supervised by Prof. Potts and Dr Xing. Four language models were tested across two studies on the Ya Ha Tinda elk herd: one asking what structure a model can recover from 234 elk-years of GPS telemetry, the other asking which of an ecologist's existing datasets bear on a question when no data values are supplied at all. Selection holds up well and resists dilution by decoy datasets; judgement does not. The report's clearest result runs against the totals, with the most internally consistent response in the blind tier also being the most incorrect. The work was presented as a talk in September 2026 and as a poster entered in the UGRI poster competition.

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Coursework | Research Paper | 2026

A Topological Assessment of the RK4 Method for Chaotic Driven Damped Pendulums

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Coursework | Co-Authored Review | 2026

Your Future, Quantised: The Practical Superpowers of Quantum Mechanics

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Coursework | Research Paper | 2025

On the Components of Kinetic Energy During a Barostatted Molecular Dynamics Simulation of Methanol Diffusion in Water

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Coursework | Research Paper | 2025

Determining Planck's Constant From Photodiode Responses to LEDs of Differing Wavelengths

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Reading List

Core

Quantum Field Theory for the Gifted Amateur - Tom Lancaster and Stephen J. Blundell

Fiction

Flowers for Algernon - Daniel Keyes

Current Favourite Book of the Year

Fictions - Jorge Luis Borges

Get in Touch

For research questions, collaborations, or general inquiries, please use one of the contact details below or alternatively the form below:

01 / EMAIL

olivergtburch@gmail.com

02 / LINKEDIN

linkedin.com/in/oliver-burch-846b80263

03 / LOCATION

University of Sheffield, UK