Explore
Welcome to NOMAD Gallery — a space to showcase innovative features, uploads, and use cases created with the NOMAD platform. Whether you want to share your latest work or explore what’s possible, this is the place to engage, discover, and inspire.
Featured highlights
Hand-picked examples that demonstrate what's possible with NOMAD — from large-scale databases to innovative workflows.
PERLA – The PERovskite Photovoltaics Living Archive on NOMAD
Photovoltaics
The Catalysis App
Catalysis
Martignac: High-Throughput Martini Workflows with NOMAD Integration
Computational Soft Matter and Biomolecular SimulationExplore the NOMAD Gallery
Browse community-submitted use cases showing how NOMAD is used in real research workflows. Use the filters below to explore by methodology, research field, or keywords.
Novel Materials Synthesis at the DTU Nanolab
High-throughput and autonomous experimentation generate complex, heterogeneous datasets whose reuse, large-scale analysis, and linking to data from first-principles calculations remain challenging. We use the NOMAD Oasis data infrastructure as a digital backbone for daily high-throughput experimental work in our materials discovery group at DTU Nanolab. The customized platform supports the complete experimental workflow in a thin-film laboratory, linking physical inventory items, automated synthesis logs, high-throughput characterization data, and cloud-based analysis within a unified data model. Our NOMAD Oasis installation preserves full sample provenance across multi-step workflows and uses unified sample coordinates to enable direct cross-technique correlation. We demonstrate the capabilities of the platform on a combined experimental-computational project centered on phosphosulfide thin-film libraries. The data consists of 12,000 experimental samples acquired during routine operation over 18 months, complemented by more than 800 first-principles calculations – all managed in a unified data platform available on NOMAD. We show how an open, extensible data infrastructure system supports reproducible workflows, scalable analysis, and long-term data reuse.
Alexandria Database Integration and Search App
The Alexandria Materials Database is a large, open high-throughput database of density-functional theory (DFT) calculations covering millions of predicted materials across 1D, 2D, and 3D chemical spaces. Alexandria is integrated into NOMAD through a dedicated search application that enables efficient exploration of the raw data using NOMAD's powerful search, filtering, visualization, and analysis tools. Researchers can rapidly identify materials of interest, investigate structure–property relationships, and access FAIR computational materials data at scale. The integration currently provides access to more than 2 million Alexandria entries within the NOMAD ecosystem and continues to grow.
The Perovskite Solar Cell App
The Perovskite Solar Cell App provides a domain-specific search interface within NOMAD that allows users to explore perovskite photovoltaic data using rich metadata and interactive filters. Researchers can search by absorber composition, device structure, processing conditions, efficiency metrics, and many other parameters, enabling rapid discovery, benchmarking, and data-driven analysis. The app is powered by FAIR data models and the NOMAD Perovskite Solar Cell Database infrastructure. The app transforms a large collection of perovskite photovoltaic data into a searchable and reusable research resource. By making historical and newly contributed data FAIR and interoperable, it enables benchmarking, trend analysis, machine learning applications, and accelerated discovery in photovoltaic materials research.
Martignac: High-Throughput Martini Workflows with NOMAD Integration
Martignac is a workflow library for coarse-grained molecular simulations based on the Martini force field. It supports a range of standard free-energy and high-throughput simulation applications, including solvation studies, membrane permeation calculations, and molecular property screening.
By integrating workflow automation with the NOMAD data management platform, Martignac enables highthroughput simulation workflows while ensuring reproducibility and provenance tracking through FAIR data management. In particular, simulations are represented as composable workflows that automatically reuse previously generated data by retrieving existing results from NOMAD on the fly.
NOMAD CAMELS Plugin – Parser and Search App
The NOMAD CAMELS Plugin allows users to automatically parse all measurement files (HDF5) recorded with NOMAD CAMELS. Parsing creates a NOMAD entry out of every CAMELS measurement file. This makes metadata that users entered or that was automatically recorded by CAMELS searchable in NOMAD (Oasis).
The CAMELS App allows you to easily filter all your NOMAD CAMELS entries. Quickly find your measurement data by filtering on the following metadata:
- Measurements start time
- Measurements end time
- Session
- Tags
- Measurement description
- Comments
- Protocol description
- Protocol overview
- User
- Sample
PERLA – The PERovskite Photovoltaics Living Archive on NOMAD
PERLA transforms perovskite solar cell literature into a living, continuously updated knowledge resource. Through AI-powered data extraction and FAIR data management workflows, PERLA converts scientific publications into structured, reusable data accessible through NOMAD. Researchers can explore emerging trends, perform large-scale analyses, and accelerate innovation in next-generation photovoltaic technologies.
Battery Database: Literature-mined Battery Properties with Searchable Visualization
The Battery Database plugin brings literature-derived battery materials data into NOMAD, where it can be searched, filtered, visualized, and reused. It supports curated experimental battery properties from published papers and provides an interface for exploring materials and properties such as capacity, voltage, conductivity, Coulombic efficiency, and energy.
The Catalysis App
The Catalysis App allows researchers to explore heterogeneous catalysis datasets available in NOMAD through an interactive interface. Users can search and filter data by parameters such as reactants and products, synthesis method, catalyst form, and reaction conditions. The Catalysis App supports the exchange of catalysis data and lays important groundwork for future AI-driven analytics.