Cambridge Condensed Matter Theory Programme Grant
Lead Research Organisation:
University of Cambridge
Department Name: Physics
Abstract
As theoreticians, we construct models of physical and chemical processes that are generally inspired by experimental discoveries, we generalise these models and their solutions to make predictions for new experiments, and we transfer the concepts and theoretical tools which emerge from the solution of these models to other areas of research, in a concerted interdisciplinary effort. In short, the role of theory is to understand known phenomena observed in the laboratory or in everyday life, and to predict new physical processes and phenomena.Our theoretical research is both about making calculations, to quantitatively understand and predict the behaviour of matter, but also about making models to illuminate the landscape of emergent behaviour in physics, chemistry, material science, and biology. The role of theory includes both fundamental knowledge creation and practical applications of modelling for new and existing technology. The applications of our activity are as various as ultracold atoms, semiconductor devices and DNA assembly.Starting from first principles on the microscopic level (as embodied in the Schrdinger equation) electronic, mechanical and structural properties of molecules and materials can now be calculated with a remarkable degree of accuracy. We work on developing and refining new computational tools and applying them to a broad spectrum of fundamental and applied problems in physics, chemistry, materials science and biology.Solids and fluids often show unusual collective behaviour resulting from cooperative quantum or classical phenomena. For such phenomena a more model-based approach is often appropriate, and we are using such methods to attack problems in magnetism, superfluidity, nonlinear optics, mesoscopic systems, complex fluids and solids, andbio-polymers. Collective behaviour comes even more to the fore in systems on a larger scale. As examples, we work on self-organising structures in soft condensed matter systems, non-linear dynamics of interacting systems, and models of biophysical processes, all of which bridge the gap between molecular and mesoscopic scales.
Organisations
Publications
Kibalchenko M
(2011)
Magnetic response of single-walled carbon nanotubes induced by an external magnetic field.
in ACS nano
Bardwell DA
(2011)
Towards crystal structure prediction of complex organic compounds--a report on the fifth blind test.
in Acta crystallographica. Section B, Structural science
Wójs A
(2011)
Composite Fermion Dynamics in Half-Filled Landau Levels of Graphene
in Acta Physica Polonica A
Möller G
(2009)
Fractional Quantum Hall States with Non-Abelian Statistics
in Acta Physica Polonica A
Lee D
(2011)
Breakdown of Counterflow Superfluidity in a Disordered Quantum Hall Bilayer
in Advances in Condensed Matter Physics
Cooper N
(2008)
Rapidly rotating atomic gases
in Advances in Physics
Needs R
(2016)
Perspective: Role of structure prediction in materials discovery and design
in APL Materials
Young Kim D
(2012)
Phase stability and superconductivity of strontium under pressure
in Applied Physics Letters
Kneževic M
(2013)
Photoferroelectric solar to electrical conversion
in Applied Physics Letters
Dondl P
(2009)
A Sharp Interface Model for the Propagation of Martensitic Phase Boundaries
in Archive for Rational Mechanics and Analysis
Bhattacharya K
(2009)
Stress-Induced Phase Transformations in Shape-Memory Polycrystals
in Archive for Rational Mechanics and Analysis
Escudé M
(2014)
How cells feel: stochastic model for a molecular mechanosensor.
in Biophysical journal
Huggins DJ
(2015)
Quantifying the entropy of binding for water molecules in protein cavities by computing correlations.
in Biophysical journal
Bell S
(2017)
Focal Adhesion Kinase: The Reversible Molecular Mechanosensor.
in Biophysical journal
Kozuska JL
(2014)
Impact of intracellular domain flexibility upon properties of activated human 5-HT3 receptors.
in British journal of pharmacology
Simons BD
(2011)
Strategies for homeostatic stem cell self-renewal in adult tissues.
in Cell
Klein AM
(2010)
Mouse germ line stem cells undergo rapid and stochastic turnover.
in Cell stem cell
Kibalchenko M
(2010)
Distinguishing hydrogen bonding networks in a-d-galactose using NMR experiments and first principles calculations
in Chemical Physics Letters
Laraia L
(2015)
Overcoming Chemical, Biological, and Computational Challenges in the Development of Inhibitors Targeting Protein-Protein Interactions.
in Chemistry & biology
Kita Y
(2010)
A Variational Monte Carlo Study of Positronic Compounds Using Inhomogeneous Backflow Transformations
in Chemistry Letters
Hine N
(2009)
Linear-scaling density-functional theory with tens of thousands of atoms: Expanding the scope and scale of calculations with ONETEP
in Computer Physics Communications
Gomes FL
(2011)
Reconstruction of rat retinal progenitor cell lineages in vitro reveals a surprising degree of stochasticity in cell fate decisions.
in Development (Cambridge, England)
Krieger T
(2015)
Dynamic stem cell heterogeneity.
in Development (Cambridge, England)
Description | Condensed Matter is intrinsically complex. The term refers to systems of vast numbers of atoms placed so close together that the electrons may no longer be confined to a single atom and the atoms interact strongly together. Perhaps not surprisingly, condensed matter systems can exhibit a vast array of different physical, chemical and/or biological properties, often on many different lengthscales. We should also remember that the fundamental equations of physics can usually only be solved exactly |
Exploitation Route | In some cases, there are opportunities for commercial exploitation of the methods we develop, particularly those involving computer modelling, but more realistically it is the novel phenomena and the systems and/or materials that exhibit them that will offer opportunities for commercial exploitation. As explained above we interact with many communities of other academic researchers. |
Sectors | Digital/Communication/Information Technologies (including Software),Healthcare,Manufacturing/ including Industrial Biotechology |
URL | http://www.tcm.phy.cam.ac.uk/ |
Description | The Cambridge Theory of Condensed Matter Programme Grant was one of a long line of grants that provided long term flexible funding for the core activities of the research group. These grants have allowed us to be innovative, respond rapidly to research opportunities, take on long term riskier research and to support ongoing software development projects. The outcomes reported elsewhere give some indication of the impact of these grants which is clearly marked bymany metrics such as developing the research careers of out young researchers, awards and prizes to the PI and Co-Is and to software that is now sold commercially. |
First Year Of Impact | 2009 |
Sector | Chemicals,Digital/Communication/Information Technologies (including Software),Education,Electronics,Energy,Manufacturing, including Industrial Biotechology,Pharmaceuticals and Medical Biotechnology |
Impact Types | Cultural,Societal,Economic |
Title | CASTEP |
Description | A quantum mechanical atomistic simulation tool |
Type Of Technology | Software |
Impact | The software was originally licenced in 1994 but is continually upgraded and improved. It is sold commercially by Biovia (formerly Accelrys) with annual sales in excess of £1million and cumulative sales in excess of $30 |
URL | http://accelrys.com/products/materials-studio/quantum-and-catalysis-software.html |
Title | ONETEP |
Description | ONETEP is a linear scaling quantum mechanical atomistic simulation tool |
Type Of Technology | Software |
Impact | This software is continuously improved in terms of both functionality and speed. It has been sold commercially by Biovia (formerly Accelrys) since 2004 and now has commercial sales in excess of $4.5million |
URL | http://accelrys.com/products/materials-studio/quantum-and-catalysis-software.html |