SpringerMaterials

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

A comprehensive online database for materials science. It covers 3,000 kinds of property information (crystal structure, phase diagrams, thermophysical property data, etc.) and 290,000 kinds of material data and provides efficient information search for these data. A variety of analytics tools, including data integration, graphing and customizable data visualization, are also available.

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Spin Glass Server

  • Level of openness 0 ☆☆☆
  • Document quality 2 ★★☆

Server for computing exact ground state of Ising model with random interacitons (Ising spin glasses). Users can specify the distributions of the interactions and the geometry of lattices. By inputting the informaiont of the model, users will receive the computational results by e-mail from the server.

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STATE

  • Level of openness 1 ★☆☆
  • Document quality 2 ★★☆

STATE is a first-principles plane-wave pseudo-potential code. It provides electronic state calculations and molecular dynamics simulations. This code is suitable for simulating chemical reactions at solid surfaces and solid–liquid interfaces, i.e., It is able to investigate reaction paths and activation barriers of chemical processes at interfaces. It can also include Van der Waals corrections to conventional density functional theory.

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Spglib

  • Level of openness 3 ★★★
  • Document quality 2 ★★☆

A library related to the symmetry of crystal structures. By providing a crystal structure, Spglib can detect information related to the symmetry of the structure, such as symmetry operations, a space group and a primitive cell. It can also generate irreducible wave numbers. Spglib is written in C, but various interfaces are available, including Python, Fortran, and Rust.

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SALMON

  • Level of openness 3 ★★★
  • Document quality 2 ★★☆

Photo-excited electron dynamics simulator based on time-dependent density functional theory using real-time, real-space grids. It can perform calculations of linear photo-response and nonlinear photo-response to pulse radiation in a variety of systems including isolated systems, periodic systems, interfaces/surfaces, etc. It can perform massively parallel calculations in systems consisting of thousands of atoms, and it can also perform multiscale simulation of electron-electromagnetic field-coupled dynamics.

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SIMPLE-NN

  • Level of openness 3 ★★★
  • Document quality 2 ★★☆

Software package to implement Behler-Parinello neural network potentials. Potentials can be trained from structure-energy/ interatomic forces/stress data, and molecular dynamics calculations using LAMMPS can also be performed using learned potentials. A prediction uncertainty measure can also be calculated simultaneously.

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SHRY

  • Level of openness 3 ★★★
  • Document quality 2 ★★☆

A python tool for generating symmetry-inequivalent supercell structures from a CIF file containing site occupancy information. SHRY can be used as a command-line tool as well as a module in a python script.

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Strawberry Fields

  • Level of openness 3 ★★★
  • Document quality 2 ★★☆

Python library for the design, simulation, and optimization of continuous-variable quantum optical circuits. It has high-level functions for solving problems including graph and network optimization, machine learning, and chemistry, and can perform training and optimization of quantum programs using the TensorFlow backend.

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Starrydata

  • Level of openness 3 ★★★
  • Document quality 2 ★★☆

Starrydata is an open database of experimental data from figures in published papers. Thermoelectric properties such as Seebeck coefficient, electrical resistivity and thermal conductivity are presented mainly on thermoelectric materials.

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scikit-learn

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

An open-source library for data mining and data analysis. This package implements various methods of machine learning such as supervised learning (data classification, data regression, etc.), unsupervised learning (data clustering, etc.), and data pre-processing. This package is implemented on Python numerical libraries, NumPy and Scipy, and supports parallel computation.

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