London Institute in 2021

2021 was transformative for the London Institute. We hired new talent, published pioneering research and moved into Faraday's rooms at the Royal Institution. We also compiled a list of the top 23 mathematical challenges of our time, to remind ourselves and others to aim high.

The London Institute is now located at the Royal Institution in Mayfair. It was here that Sir Humphry Davy identified nine elements of the periodic table and Michael Faraday uncovered the principles of electromagnetism. There could be no more inspiring place for us to work.

Our papers span five main research themes, from mathematics that unifies to the theory of human enterprise. Our output exceeded that of the previous year by 41%, part of our plan to double it every two years. We concentrate on the quality of our papers and not just the quantity.

  • Machine-learning the Sato–Tate conjecture

    YHY. HeKLTO Journal of Symbolic Computation

    Learning the Sato–Tate conjecture

    Machine-learning methods can distinguish between Sato-Tate groups, promoting a data-driven approach for problems involving Euler factors.

  • Global minimization via classical tunneling assisted by collective force field formation

    FCF. CaravelliFSF. SheldonFL Science Advances

    Breaking classical barriers

    Circuits of memristors, resistors with memory, can exhibit instabilities which allow classical tunnelling through potential energy barriers.

  • Transitions in loopy random graphs with fixed degrees and arbitrary degree distributions

    FAACA. Coolen JPhys Complexity

    Transitions in loopy graphs

    The generation of large graphs with a controllable number of short loops paves the way for building more realistic random networks.

  • Emergent spatial patterns of coexistence in species-rich plant communities

    PVTGGCG. Caldarelli Physical Review E

    Coexistence in diverse ecosystems

    Scale-invariant plant clusters explain the ability for a diverse range of plant species to coexist in ecosystems such as Barra Colorado.

  • Conditional entanglement transfer via black holes: restoring predictability

    AAODO. DahlstenLM New Journal of Physics

    Going, going, gone

    A solution to the information paradox uses standard quantum field theory to show that black holes can evaporate in a predictable way.

  • Modelling the interplay between the CD4+/CD8+ T-cell ratio and the expression of MHC-I in tumours

    CJAMA. MozeikaAA Journal of Mathematical Biology

    Tumour infiltration

    A delicate balance between white blood cell protein expression and the molecules on the surface of tumour cells determines cancer prognoses.

  • The physics of financial networks

    MBM. BardosciaPBP. BaruccaSBFCGC... Nature Reviews Physics

    Physics of financial networks

    Statistical physics contributes to new models and metrics for the study of financial network structure, dynamics, stability and instability.

  • Quantum speed-up in global optimization of binary neural nets

    YLDEFLODO. Dahlsten New Journal of Physics

    Quick quantum neural nets

    The notion of quantum superposition speeds up the training process for binary neural networks and ensures that their parameters are optimal.

  • Dessins d’enfants, Seiberg-Witten curves and conformal blocks

    OFYHY. HeJRYXFY Journal of High Energy Physics

    QFT and kids’ drawings

    Groethendieck's “children’s drawings”, a type of bipartite graph, link number theory, geometry, and the physics of conformal field theory.

  • Exact results on high-dimensional linear regression via statistical physics

    AMA. MozeikaFAMSFAF. AntenucciACA. Coolen Physical Review E

    Exact linear regression

    Exact methods supersede approximations used in high-dimensional linear regression to find correlations in statistical physics problems.

  • Controlling systemic risk: network structures that minimize it and node properties to calculate it

    SMGCG. CaldarelliVZ Physical Review E

    Risky bank interactions

    Networks where risky banks are mostly exposed to other risky banks have higher levels of systemic risk than those with stable bank interactions.

  • Universes as big data

    YHY. He International Journal of Modern Physics A

    Universes as big data

    Machine-learning is a powerful tool for sifting through the landscape of possible Universes that could derive from Calabi-Yau manifolds.

  • Acute immune signatures and their legacies in severe acute respiratory syndrome coronavirus-2 infected cancer patients

    SALBTAIdAG... Cancer Cell

    Cancer and coronavirus

    Cancer patients who contract and recover from Coronavirus-2 exhibit long-term immune system weaknesses, depending on the type of cancer.

  • Common asset holdings and systemic vulnerability across multiple types of financial institution

    PBP. BaruccaTMLS Journal of Financial Stability

    Channels of contagion

    Fire sales of common asset holdings can whip through a channel of contagion between banks, insurance companies and investments funds.

  • True scale-free networks hidden by finite size effects

    M.SGCAMARS.S... Proceedings of the National Academy of Sciences of the USA

    True scale-free networks

    The underlying scale invariance properties of naturally occurring networks are often clouded by finite-size effects due to the sample data.

  • Reflexions on Mahler: Dessins, modularity and Gauge theories

    YHY. HeJBAZ Sub. to Communications in Mathematical Physics

    Reflexions on Mahler

    With physically-motivated Newton polynomials from reflexive polygons, we find the Mahler measure and dessin d’enfants are in 1-to-1 correspondence.

  • Scale of non-locality for a system of n particles

    STITI. Teimouri Arxiv

    Scale of non-locality

    The number of particles in a higher derivative theory of gravity relates to its effective mass scale, which signals the theory’s viability.

  • Mortality equation offers a theory for programmed aging

    TFT. Fink Sub. to Nature Ageing

    I want to be forever young

    The mortality equation governs the dynamics of an evolving population with a given maximum age, offering a theory for programmed ageing.

  • Energy bounds for modular roots and their applications

    BKISI. ShkredovISAZ Journal of the Institute of Mathematics of Jussieu, in press

    Energy bounds for roots

    Bounds for additive energies of modular roots can be generalised and improved with tools from additive combinatorics and algebraic number theory.

  • On the number of biologically valid logics

    TFT. Fink Draft

    Biological logics are restricted

    The fraction of logics that are biologically permitted can be bounded and shown to be tiny, which makes inferring them from experiments easier.

  • Recursively abundant and recursively perfect numbers

    TFT. Fink Arxiv for Journal of Number Theory

    Ample and pristine numbers

    Parallels between the perfect and abundant numbers and their recursive analogs point to deeper structure in the recursive divisor function.

  • The mathematical structure of innovation

    TFT. FinkITI. Teimouri Arxiv for Science Advances

    Recursive structure of innovation

    A theoretical model of recursive innovation suggests that new technologies are recursively built up from new combinations of existing ones.

Our events included a talk about the Theory of Everything, a conversation with Sir Roger Penrose and a workshop to figure out the top 23 mathematical challenges. Our new home in the Royal Institution provides us with the space and reach to attract larger audiences than ever.

  • The science of storytelling

    Lectures13 Dec 2021

    Science of storytelling

    Prof. Alison Woollard explores the science of storytelling and storytelling in science—a neglected virtue in modern scientific research.

  • The Theory of Everything

    Ri Lecture1 Dec 2021

    Theory of Everything

    Professor Yang-Hui He tells the captivating story of the holy grail of science: the mathematical quest for a unifying theory of everything.

  • In conversation with  Sir Roger Penrose

    Ri Lecture26 Oct 2021

    Talking to Penrose

    Sir Roger Penrose talks about physics, philosophy and art in a conversation with Thomas Fink and Yang-Hui He in the Faraday lecture theatre.

  • Mathematics & machines

    Lectures27 Sep 2021

    Maths and machines

    Conrad Wolfram describes how two brothers harnessed machines to do mathematics, changing the way we think about computational thinking.

  • Cheers, Brits and Yanks

    Alumni event22 Sep 2021

    Cheers, Brits and Yanks

    Princeton and Caltech alumni celebrate Faraday’s birthday at the London Institute for Mathematical Sciences, inside the Royal Institution.

  • Serendipity in business, finance and physics

    Discussions21 Sep 2021

    In search of serendipity

    The London Institute is hosting a lunch at the Royal Institution to promote serendipity between leaders in business, finance and physics.

  • Mathematical Dialogues

    Conferences1–13 Aug 2021

    Mathematical Dialogues

    Yang-Hui He co-organises the Nankai Symposium on dialogues between mathematics and physics, with the plenary talk by Sir Roger Penrose.

  • Greek week

    Workshops20 Jun 2021

    Greek week

    What is the limit to human achievement? To find out, we sent a team to a Greek island for a week to immerse themselves in a single problem.

  • 23 mathematical challenges

    Workshops26 Mar 2021

    23 mathematical challenges

    A one-day symposium of physicists and mathematicians to write down a list of the 23 most important mathematical challenges of our time.

Our perspectives are essays that express the London Institute’s interests and point of view, while contributing to the national debate on how to fund and carry out science. They include opinion pieces in The Times, The Spectator, Science in Parliament and The Daily Telegraph.

  • Why we must boldly go

    THE SPECTATOR

    Why we must boldly go

    The human impulse to look beyond the horizon, “to boldly go where no man has gone before”, leads us to the most transformative discoveries.

  • 23 mathematical challenges

    THE TIMES

    23 mathematical challenges

    To mark the launch of ARIA, which aims to tackle the toughest problems, we made a list of the top 23 mathematical challenges of our time.

  • The intelligent organisation

    THE DAILY TELEGRAPH

    The intelligent organisation

    Showing up for work makes organisations more intelligent, because it let’s workers switch between focus and interaction in an unplanned way.

  • Britain’s version of DARPA

    THE SPECTATOR

    Britain’s version of DARPA

    As the government creates its Advanced Research and Invention Agency, it could learn from the exceptional history of the Royal Institution.

  • The London Institute moves to the Royal Institution

    Move to the Royal Institution

    The London Institute has moved into the iconic Royal Institution, where it will expand its programme of curiosity-driven theoretical science.

  • We need more research done outside universities

    SCIENCE IN PARLIAMENT

    Independent science

    Supporting non-university research institutes with core funding will finally give aspiring researchers an alternative to a university job.

The people we employ range from writers to researchers and financiers to physicists, since a top-class institute requires scientists and support staff alike. We recruited two researchers, a string theorist and a biophysicist, and our first Finance Director and Development Director.

  • Ali Emamy

    Former finance director

    Ali Emamy

    Mr Emamy is the Finance Director for LIMS and LIMS Ventures. He was previously CFO at Nest Corporation and several financial services firms.

  • Sarah Myers Cornaby

    Development

    Sarah Myers Cornaby

    Mrs Myers Cornaby is the LIMS Development Director, where she has raised funds for our Arnold and Landau posts and is growing our endowment.

  • Forrest Sheldon

    Statistical physics

    Forrest Sheldon

    Dr Sheldon is a Junior Fellow at LIMS, following a physics postdoc at Los Alamos. He works on mathematical biology and neural computing.

  • Yang-Hui He

    Mathematical physics

    Yang-Hui He

    As well as a Fellow at LIMS, Prof. He is a professor of physics at the University of London. He works on string theory and machine learning.