World Journal of Condensed Matter Physics · 2014 · 11 citations · 23 references
Natural SciencesPhysicsComputational PhysicsCondensed Matter PhysicsStochastic ProcessesSimulation MethodsStatistical MechanicsHeisenberg ModelKagome Lattice SystemsKagome LatticesMagnetic Specific HeatPolynomial ExpansionRandom VectorSamplingSpecific Heat Capacity
We present an improvement of the finite temperature Lanczos method in order to apply this method to systems at very low temperature. One proposal is to introduce two steps in this method. In the first step, we use the Chebyshev polynomial expansion to calculate exp(-H/T1) random vector> at moderate temperature T1. In the second step, we apply the ordinary finite temperature Lanczos method using the calculated state as the initial state of the Lanczos method. Another proposal is to employ a sampling method for selecting a random vector. By this sampling, we can improve an efficiency of calculations. Using the improved finite temperature Lanczos method, we calculate the specific heat of the spin-1/2 Heisenberg model on the kagome lattices of 27 and 30 sites.
23
Alexander Weiße, Gerhard Wellein, Andreas Alvermann et al. · Reviews of Modern Physics · 2006 · 1.1K citations · Full text
Natural Sciences, Physics, Computational Materials Science +15
P. Lecheminant, B. Bernu, C. Lhuillier et al. · Physical review. B, Condensed matter · 1997 · 360 citations · Full text
Properties of an algebraic spin liquid on the kagome lattice
Michael Hermele, Ying Ran, Patrick A. Lee et al. · Physical Review B · 2008 · 312 citations · Full text
Finite-temperature properties of doped antiferromagnets
J. Jaklič, P. Prelovšek · Advances In Physics · 2000 · 290 citations · Full text