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Run LAMMPS by uploading a data file and command script.

13 reposts

Machine learning and data science tools applied to materials science

36 reposts

Calculate the glass transition temperature of an atomistic, amorphous system by running MD simulations in a notebook

5 reposts

Broadband Ferromagnetic Resonance Spectroscopy: The “Swiss Army Knife” for Understanding Spin–Orbit Phenomena

0 reposts

This simulation tools calculates the extintion, scattering and absorption efficiencies of single and multilayer nanoparticles (quantum dots.)  

26 reposts

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Michał Piotr Nowak onto mgr

Simulate dislocation movement, crack propagation, nanowire tensile tests, and simple phase transitions

23 reposts

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Tanya Faltens onto Jupyter Notebooks

Compute the eigenstates of a particle in a box of various shapes including domes and pyramids.

64 reposts

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ali naderizadeh onto dot

Assembles all possible configurations of a structural level in a Hierarchical Material.

1 reposts

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Mohsen Saeidi onto Materials Processing

Compute the eigenstates of a particle in a box of various shapes including domes and pyramids.

64 reposts

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Mohsen Saeidi onto Materials Processing

Molecular Dynamics simulations of nano-materials

39 reposts

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Mohsen Saeidi onto Materials Processing

Computes the electronic and phonon structure of various materials in the spatial configuration of bulk , quantum wells, and wires

79 reposts

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Mohsen Saeidi onto Characterization

Visualize and interact with various Crystalline Materials and all Bravais Lattices

8 reposts

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Mohsen Saeidi onto Characterization

Analysis and feature detection in SEM images of Graphene.

3 reposts

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Mohsen Saeidi onto Characterization

Helps the user to determine the thickness of an overlayer material from XPS experiment data.

6 reposts

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Mohsen Saeidi onto Characterization

Drilling a nanopore in graphene by Si-nanoparticle bombardment

1 reposts

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Mohsen Saeidi onto Materials Processing

Visualize different crystal lattices and planes

92 reposts

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Mohsen Saeidi onto Characterization

Understand the dependence of resistance, R, inductance, L, and capacitance, C, on physical dimensions and material properties.

3 reposts

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Mohsen Saeidi onto Electronic

Atomic-Scale Simulation Tools to Explore Energy Conversion and Storage Materials

13 reposts

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Mohsen Saeidi onto Energy

Easy-to-use interface for designing and analyzing electronic properties of different nano materials

15 reposts

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Mohsen Saeidi onto Characterization

Calculates the void fraction (pore volume) of nano-porous materials

3 reposts

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Mohsen Saeidi onto Characterization

Calculates the average surface of nano-porous materials

3 reposts

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Mohsen Saeidi onto Characterization

Machine learning and data science tools applied to materials science

36 reposts

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Mohsen Saeidi onto Machine Learning

Many macroscopic materials are made (or can only be made) with small particles. Therefore, a fundamental understanding of their microstructures and behavior when compacted is necessary to advance our models and industry.

1 reposts

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Mohsen Saeidi onto Powder

This poster shows the development process of a tool that simulates the mechanical behavior of a binary mixture during compaction and unloading.

1 reposts

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Mohsen Saeidi onto Powder