ReviewNature materials2025
Accelerated data-driven materials science with the Materials Project.
Review in Nature materials, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
49 citing papers in PubMed.
- Machine Learning of Band Gaps and Thermodynamic Stability in ANanomaterials (Basel, Switzerland) · 2026Article
- Experimental and molecular dynamics investigation of ZnO nanoparticle size effects on sunscreen performance and skin-lipid interactions.Journal of molecular modeling · 2026Article
- Computational data as the fuel for AI in chemistry.Chemical science · 2026Review
- Induced Hydrophilicity and Oxidation of β‑Iron Disilicide Films by Varying Ar Plasma Etching Durations.ACS omega · 2026Article
- Digital infrastructure to support and share daily high-throughput experimental materials research.Faraday discussions · 2026Article
- Atomistic machine learning with irreducible Cartesian natural tensors.Nature communications · 2026Article
- Beyond SrTiOMaterials (Basel, Switzerland) · 2026Review
- Fundamental Understanding of Oxidative Stability in Fluorinated Asymmetric Ethers for Li Batteries.Angewandte Chemie (International ed. in English) · 2026Article
- Stabilizing NaACS omega · 2026Article
- Toward Multifunctional Binders for Sodium-Ion Batteries: Molecular Design Strategies and Material-Specific Requirements.ChemSusChem · 2026Review
- Prediction and Experimental Verification of Electrolyte Solvation Structure from an OMol25-Trained Interatomic Potential.The journal of physical chemistry letters · 2026Article
- Unlocking the Chemical Space for Rechargeable Batteries with a Generative Solvent Design System.ACS nano · 2026Article
- Learning ordinality-aware multimodal representations for composite materials design.Nature communications · 2026Article
- Spectroscopy-informed XANES-PXRD framework for multi-property prediction and structure inference.Chemical science · 2026Article
- Inverse Design of Amorphous Materials With Targeted Properties.Advanced materials (Deerfield Beach, Fla.) · 2026Article
- Interfacial epitaxy of single-crystalline AlNature communications · 2026Article
- Article
- Catalytic nano-metal interfaces drive pH-universal CONature communications · 2026Article
- Benchmarking Foundation Potentials against Quantum Chemistry Methods for Predicting Molecular Redox Potentials.Precision chemistry · 2026Article
- Predicting the Thermodynamic Limits of Metal-Organic Framework Metastability.Journal of the American Chemical Society · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
33 authors.
Funding
Abstract
The Materials Project was launched formally in 2011 to drive materials discovery forwards through high-throughput computation and open data. More than a decade later, the Materials Project has become an indispensable tool used by more than 600,000 materials researchers around the world. This Perspective describes how the Materials Project, as a data platform and a software ecosystem, has helped to shape research in data-driven materials science. We cover how sustainable software and computational methods have accelerated materials design while becoming more open source and collaborative in nature. Next, we present cases where the Materials Project was used to understand and discover functional materials. We then describe our efforts to meet the needs of an expanding user base, through technical infrastructure updates ranging from data architecture and cloud resources to interactive web applications. Finally, we discuss opportunities to better aid the research community, with the vision that more accessible and easy-to-understand materials data will result in democratized materials knowledge and an increasingly collaborative community.
Identifiers
40610673What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.