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Group Publicatons
www.tcm.phy.cam.ac.uk/publications/Pubs2013.htmlTJ Zuehlsdorff, ND Hine, JS Spencer, NM Harrison, DJ Riley and PD Haynes, J. -
Group Publicatons
www.tcm.phy.cam.ac.uk/publications/L Yang, JT Horton, MC Payne, TJ Penfold and DJ Cole, J. -
SOVIET PHYSICS JETP VOLUME 29, NUMBER 5 NOVEMBER, 1969 ...
www.tcm.phy.cam.ac.uk/~dek12/courses/phase/Ap2.pdf3 Nov 2016: i. (-a-qOUa)Tii'-21 bl);' V,;(TJ;--l);)'}. (3) ora. ;. Here K0 and 11 are the nonsingular parts of the bulk and shear moduli. ... As a result, we write H in the form. (35). where = quaa and 11 = q 2/(Ko %tJ.)N. -
PHYSICAL REVIEW E 83, 066706 (2011) Strategies for improving ...
www.tcm.phy.cam.ac.uk/~gjc29/papers/LeeConduit10.pdf24 Aug 2020: i=1R. j =1 E(τi )Ti Tj τi τ2j (τj τi )R. ... 20 R. k=12k. [E0. E(τk ). ]2. = 4C2R. k=1Tkτk. [ Rj =1 Tj τ. -
Machine learning to predict mesenchymal stem cell efficacy for…
www.tcm.phy.cam.ac.uk/~gjc29/papers/LiuLuOhConduit20.pdf11 Nov 2020: RESEARCH ARTICLE. Machine learning to predict mesenchymal. stem cell efficacy for cartilage repair. Yu Yang Fredrik LiuID1, Yin Lu2, Steve Oh2, Gareth J. ConduitID1. 1 Theory of Condensed Matter Group, Cavendish Laboratory, University of Cambridge, -
KM_C284e-20170910132342
www.tcm.phy.cam.ac.uk/~bds10/dir/sam_edwards_lectures.pdf31 Dec 2017: Books Landau and Lifshitv. Brief but many usoful examples. Will use as basic. text for these lectures. Several brief books in Rayleigh Library. Leech Classical Mechanics. Ter Ha Hamil toni an HechC'.nics. Treatises are by E.'I'. Jhittaker (C.U.P.) -. -
PHYSICAL REVIEW B 84, 064513 (2011) First-principles calculation of…
www.tcm.phy.cam.ac.uk/~gjc29/papers/ConduitMeir11i.pdf24 Aug 2020: Jij = 2eh. σ. d. 2π[tij G<σ (j,i) tj iG<σ (i,j )]. (7). Transforming again into the diagonalized basis, the localcurrent is. Jij = 2eh. -
Geometric stability of topological lattice phases
www.tcm.phy.cam.ac.uk/~gm360/papers/source-free/Nature_Communications_6_2015_Jackson.pdf4 Nov 2015: DðtÞ D 12. Xi;j. 1ij ti ti. tj tj. ð15Þ. to the gaps from the isosurface data and sampling new parameters from a Gaussiandistribution centred on t with covariance matrix
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