AI Materials Discovery Apps
Browse the full MaterialsAtlas app catalog, including composition tools, structure viewers, phase diagrams, screening workflows, DFT helpers, and machine-learning predictors.
MaterialsAtlas provides searchable materials science apps, structure analysis tools, screening workflows, datasets, benchmarks, software, tutorials, synthesis resources, and community directories.
Browse the full MaterialsAtlas app catalog, including composition tools, structure viewers, phase diagrams, screening workflows, DFT helpers, and machine-learning predictors.
Focused hub for AI-assisted materials discovery, inverse design, property prediction, candidate ranking, and composition screening workflows.
CIF visualization, structure comparison, space group analysis, supercells, POSCAR conversion, and structural preparation tools.
Input generation, convergence testing, pseudopotential checks, output parsing, DOS, bands, defects, surfaces, phonons, and HPC setup.
Screen formulas and CIF structures for charge neutrality, electronegativity balance, Pauling rules, synthesizability, phonon stability, and novelty.
Compare CIF crystal structures, deduplicate generated candidates, cross-check against references, and identify novel structures.
Visualize CIF structures with unit-cell and supercell views, VESTA-style structure summaries, POSCAR export, and symmetrized CIF export.
Screen crystal structures for phonon stability using machine-learning potential workflows and configurable imaginary-frequency thresholds.
Read public guides for app workflows, Open Resources, Reading Room collections, and materials screening tools.
Browse public materials science competitions, hackathons, and benchmark challenges with crawlable event metadata.
Public resource hubs link to approved community entries with contributor acknowledgement, citation metadata, and crawlable detail pages.
Community-curated datasets, databases, and benchmark-ready data resources for computational and experimental materials research.
Benchmark tasks, leaderboards, and evaluation datasets for materials AI and computational materials discovery.
Simulation engines, analysis libraries, workflow tools, and practical software links for materials scientists.
Labs, groups, conferences, workshops, forums, databases, and other high-value community resources.