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Formation Energy datasets

archive 2025-07-28

8 datasets carry the task tag "Formation Energy" (the task itself: Formation Energy), ordered by the archive's paper count. Page 1 of 1: 8 shown of 8. Facet routes are this site's own (the archive records the tag string, not a page).

The archive holds 12,214 dataset rows; 12,172 are listed. 6 are withheld from every listing and count here as vandalised before snapshot (6 with contact-centre spam in the title, 0 with a spam description on a row that has no homepage, no paper and no papers counted; none with more than 1 paper, 0 with a benchmark), listed in withheld.json; 1 listed row carries a vandalised description, withheld on its page. This gate never withholds a row with a homepage or a paper that resolves, and a clean description; the content rules below withhold a row whose name is spam whatever else it carries. The gate is a phrase list: these are the rows it caught, not a claim that the rest is clean. Before that gate, the site's content rules withhold 36 more rows (invite-code, gambling, travel-booking, contact-centre and similar spam in the name or on a row with nothing real behind it); they have no page and are listed in withheld.json.

Filter 51 task tags shown of 3,717, by dataset count; the full filter by modality, task and language is on /datasets

All 12,172 Question Answering 413Semantic Segmentation 347Object Detection 332Image Classification 283Classification 222Text Classification 167Language Modelling 166Text Generation 162Visual Question Answering (VQA) 144Named Entity Recognition (NER) 130Pose Estimation 124Anomaly Detection 119Action Recognition 115Instance Segmentation 111Sentiment Analysis 104Text Summarization 98Domain Adaptation 96Speech Recognition 96Reading Comprehension 95Information Retrieval 932D Object Detection 92Image Retrieval 87Machine Translation 82Relation Extraction 822D Semantic Segmentation 81Natural Language Inference 81Image Captioning 79Image Generation 79Depth Estimation 77Node Classification 75Natural Language Understanding 72Autonomous Driving 70Code Generation 70Object Tracking 693D Object Detection 67Face Recognition 67Link Prediction 67Person Re-Identification 65Data Augmentation 63Multi-Task Learning 593D Reconstruction 58Common Sense Reasoning 56Recommendation Systems 56Video Understanding 56Optical Character Recognition (OCR) 55Graph Classification 54Abstractive Text Summarization 52Emotion Recognition 52Medical Image Segmentation 52Word Embeddings 52Formation Energy 8

Formation Energy datasets 1–8 of 8

Materials Project
The Materials Project is a collection of chemical compounds labelled with different attributes.
GraphsFormation EnergyBand Gap
157 papers · 1 benchmark
MD17 (Molecular Dynamics 17)
Energies and forces for molecular dynamics trajectories of eight organic molecules.
Formation Energy
105 papers · 0 benchmarks
QM9
QM9 provides quantum chemical properties (at DFT level) for a relevant, consistent, and comprehensive chemical space of small organic molecules.
Drug DiscoveryTime SeriesGraph RegressionMolecular Property PredictionFormation EnergyMulti-Task Learning+5 tasks
76 papers · 9 benchmarks
JARVIS-DFT
JARVIS-DFT is a repository of density functional theory based calculation data for materials.
Formation EnergyBand Gap
21 papers · 1 benchmark
Matbench
The Matbench test suite v0.1 contains 13 supervised ML tasks from 10 datasets.
Formation EnergyBand Gap
11 papers · 0 benchmarks
OQMD v1.2 (The Open Quantum Materials Database)
The OQMD is a database of DFT calculated thermodynamic and structural properties of one million materials, created in Chris Wolverton's group at Northwestern University.
GraphsFormation EnergyBand GapTotal MagnetizationMaterials Screening
3 papers · 1 benchmark
OQM9HK
This is a large-scale dataset of quantum-mechanically calculated properties (DFT level) of crystalline materials for graph representation learning that contains approximately 900k entries (OQM9HK).
Formation EnergyBand GapTotal Magnetization
2 papers · 1 benchmark
WBM (Predicting stable crystalline compounds using chemical similarity)
We propose an efficient high-throughput scheme for the discovery of stable crystalline phases.
Formation EnergyBand GapStructured Prediction
1 paper · 0 benchmarks

Paper counts and descriptions are the archive's, frozen 2025-07-28; no citation counts, no stars, no trending. Sorting by "most cited" or "newest" was a live-site feature the archive does not carry.