SpM

  • Level of openness 3 ★★★
  • Document quality 1 ★☆☆

A sparse-modeling tool for computing the spectral function from the imaginary-time Green function. It removes statistical errors in quantum Monte Carlo data, and performs a stable analytical continuation. The obtained spectral function fulfills the non-negativity and the sum rule. The computation is fast and free from tuning parameters.

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EigenKernel

  • Level of openness 3 ★★★
  • Document quality 1 ★☆☆

A set of routines for real-symmetric dense eigenproblems in supercomputers or massively parallel machines. Both of standard and general eigenproblems are supported. A fast computation is achieved by optimal hybrid solvers among eigenproblem libraries of ELPA, EigenExa and ScaLAPACK. The package includes a mini-appli that can be used in a benchmark test.

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HRC Experiment Support Web tools

  • Level of openness 3 ★★★
  • Document quality 1 ★☆☆
This web site provides web tools to support neutron scattering experiments at HRC spectrometer (BL12) in the Material and Lifescience Experimental Facility in J-PARC.
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almaBTE

  • Level of openness 0 ☆☆☆
  • Document quality 0 ☆☆☆

An application for calculating thermal transport properties based on the phonon Boltzman equation. This application has its own database for phonon properties of materials, and can utilize it for evaluating heat conductivity and specific heat of crystals, alloys, and heterostructures combining them. Phonon-energy resolved contribution to heat conductivity and specific heat can also be calculated. This application also supports calculation of time-dependent response and steady state analysis.

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REM

  • Level of openness 3 ★★★
  • Document quality 0 ☆☆☆

An application for adding a function of the replica exchange method to the existing applications for molecular dynamics simulation such as MODYLAS, AMBER, and CHARMM. Without changing original programs of molecular dynamics, the replica exchange method can be implemented easily. This application also shows high performance in massive parallel computing by the K-computer.

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