NAIIVE

NAIIVE

Atomic Simulation Visualizer

1 ratings
Free

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Details

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NAIIVE screenshot #1 for iPhone
NAIIVE screenshot #2 for iPhone
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About

This tool visualizes and analyzes atomistic simulations. It supports various scientific formats like LAMMPS, VASP, and GAMESS, making complex data accessible. Ideal for researchers and students in computational science.

Atomistic simulation visualization
Analysis tool
LAMMPS support
VASP support
GAMESS support
Machine-learning force field support
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What's New in NAIIVE

0.1.6

April 2, 2026

Added measure & annoation feature. now can measure distance between 2 points and angle between 3 points.

Developer apps

FAQ

What scientific file formats does NAIIVE support?

NAIIVE natively supports widely used atomistic simulation formats including LAMMPS (dump files), VASP (POSCAR, OUTCAR, CHGCAR), GAMESS (input and output logs), and machine-learning force field formats like DeepMD and extended XYZ.

Is NAIIVE suitable for beginners in scientific visualization?

NAIIVE is described as an experimental scientific visualization and analysis tool. While it supports common formats, its experimental nature suggests it may be best suited for users with some familiarity with atomistic simulations and scientific data.

What devices can I use NAIIVE on?

NAIIVE is available on Mac, iPhone, iPad, and the realityDevice, offering flexibility for users across different Apple platforms.

How often is NAIIVE updated?

The latest version of NAIIVE is 0.1.6, and it was last updated on April 2, 2026. This indicates recent development activity for the application.

What is the user rating for NAIIVE?

NAIIVE has a perfect rating of 5.0 stars from 1 rating, suggesting a highly positive initial user experience.

Does NAIIVE offer any certifications or formal learning paths?

The provided information does not indicate that NAIIVE offers certifications or formal learning paths. It is presented as a tool for visualization and analysis rather than a structured educational course.

Can NAIIVE track user progress in learning simulations?

NAIIVE is designed for visualizing and analyzing existing simulation data. It does not appear to have features for tracking user progress in learning simulation techniques or concepts.

What is the learning methodology behind NAIIVE?

NAIIVE's methodology is centered around direct visualization and analysis of atomistic simulation data. It allows users to explore and understand complex scientific outputs through interactive visual representations.