Best Materials Science Software
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Compare the Top Materials Science Software as of January 2026
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What is Materials Science Software?
Materials science software is designed to help scientists, engineers, and researchers analyze, model, and simulate the properties and behaviors of different materials. These tools are used to explore the relationship between a material's structure, its properties, and its performance under various conditions. Materials science software typically includes capabilities for molecular dynamics simulations, finite element analysis (FEA), and materials property databases, enabling users to predict how materials will behave in real-world applications. It is widely used in industries such as aerospace, automotive, electronics, and energy, where the development of new materials with specific characteristics is critical. By offering insights into the design and behavior of materials, these tools accelerate innovation, improve product quality, and reduce the risk of material failure. Compare and read user reviews of the best Materials Science software currently available using the table below. This list is updated regularly.
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1
Signals Notebook
Revvity Signals
Signals Notebook has a modern user interface like the ones on all your personal apps, the need for training is negligible. You will be up and running in no time. That’s part of the reason Signals Notebook is the electronic lab notebook of choice for companies as to whether it’s a team of 4-5 research scientists to the largest biotechs and pharmaceutical companies in the world. Flexibility and breadth to support wide range of workflows now and in the future — including both chemistry, biology, formulations, analytical sciences, and materials sciences. Over 1 million scientists at 4000 organizations count on Signals Notebook to help them streamline their workflows. Structured data capture with APIs and interfaces for integration with instruments, in-house systems, and databases. -
2
ScienceDesk
ScienceDesk
ScienceDesk data automation demystifies the use of artificial intelligence in materials sciences. A practical tool for your team to add and apply the newest AI algorithms on an everyday basis. Customizable properties, universal identifiers, QR-codes and a powerful textual-numeric search engine that links sample and experimental data. ScienceDesk is an innovative platform for scientists and engineers to interact with, collaborate on and obtain insights into their experimental data. Unfortunately, the potential of this asset is not fully exploited due to the variety of data formats and the strong dependence on experts to manually extract specific information. The ScienceDesk research data management system solves this problem by combining documentation and data analysis in a cleverly-engineered data structure. Researchers and scientists are empowered by our algorithms to gain total control of their data. They can not only share datasets, but even the analysis know-how. -
3
Dotmatics
Dotmatics
Dotmatics is the global leader in R&D scientific software that connects science, data, and decision-making. Combining a workflow and data platform with best-of-breed applications, we offer the first true end-to-end solutions for biology, chemistry, formulations, data management, flow cytometry, and more. Trusted by more than 2 million researchers from the world’s leading biopharma, chemicals and materials enterprises, and academic institutions, we are dedicated to working with the scientific community to help make the world a healthier, cleaner and safer place to live. Learn more about our platform and products, including GraphPad Prism, Geneious, SnapGene, Protein Metrics, LabArchives, and more. -
4
Materials Zone
Materials Zone
From materials data to better products, faster! Accelerates R&D, scale-up, and optimizes manufacturing QC and supply chain decisions. Discover new materials, use ML guidance to forecast outcomes, and achieve faster and improved results. Build a model on your way to production. Test the model's limits behind your products to design cost-efficient and robust production lines. Use models to predict future failures based on supplied materials informatics and production line parameters. The Materials Zone platform aggregates data from independent entities, materials providers, factories, or manufacturing facilities, communicating between them through a secured platform. By using machine learning (ML) algorithms on your experimental data, you can discover new materials with desired properties, generate ‘recipes’ for materials synthesis, build tools to analyze unique measurements automatically, and retrieve insights. -
5
Avogadro
Avogadro
Avogadro is an advanced molecule editor and visualizer designed for cross-platform use in computational chemistry, molecular modeling, bioinformatics, materials science, and related areas. It offers flexible high quality rendering and a powerful plugin architecture. Avogadro is a free, open-source molecular editor and visualization tool, designed for use on Mac, Windows, and Linux in computational chemistry, molecular modeling, bioinformatics, materials science, and related areas. It offers flexible high quality rendering and a powerful plugin architecture. -
6
InQuanto
Quantinuum
Quantum computing offers a path forward to rapid and cost-effective development of new molecules and materials. InQuanto, a state-of-the-art quantum computational chemistry platform, represents a critical step toward this goal. Quantum chemistry aims to accurately describe and predict the fundamental properties of matter and hence is a powerful tool in the design and development of new molecules and materials. However, molecules and materials of industrial relevance are complex and not easy to accurately simulate. Today’s capabilities force a trade to either use highly accurate methods on the smallest-sized systems or use approximating techniques. InQuanto’s modular workflow enables both computational chemists and quantum algorithm developers to easily mix and match the latest quantum algorithms with advanced subroutines and error mitigation techniques to get the best out of today’s quantum platforms. -
7
NobleAI
NobleAI
NobleAI enables companies to accelerate the development of better-performing, more environmentally sustainable, and reliably sourced chemical & material products. At NobleAI, we believe that materials science and chemistry are key to building a sustainable world and that AI is essential to unlock this potential. NobleAI’s science-based AI is a powerful fusion of novel artificial intelligence techniques and all available scientific knowledge, optimized for product development. This combination of data-driven insights and scientifically guided design delivers much higher levels of accuracy with far less data and training time. This delivers deeper insights while exhibiting greater transparency, interpretability, and scientific fidelity. -
8
Albert
Albert Invent
Meet Albert, the end-to-end platform that’s digitalizing materials science for the age of AI. From molecular design to industrial production, we've lived the challenges of chemical innovation. Albert is built and implemented by industry veterans to meet the real-world needs of chemists, for today's challenges and tomorrow's innovations. Break down the silos in your R&D processes with Albert’s end-to-end platform. By combining ELN, LIMS, AI/ML, automated SDS generation, and other capabilities, Albert creates a unified flow of knowledge throughout R&D that enables innovation. Equip every scientist in your organization with the power of AI. Albert's specialized AI is trained like a chemist to optimize formulations and accelerate experiments, so you can get new products to market more than 50% faster. Our intuitive design and collaborative implementation, rooted in our own lab experience, ensure seamless integration into your workflows. -
9
Osium AI
Osium AI
Osium AI is an AI-powered software platform that enables industry leaders to accelerate the development of sustainable and high-performance materials and chemicals. By leveraging proprietary technology developed by experts with over a decade of experience in AI and multiple AI patents, Osium AI offers a unified solution covering every step of the materials and chemicals development cycle, from formulation and characterization to scale-up and manufacturing. It allows users to predict any material or chemical property in just a few seconds, design optimal routes for R&D experiment planning, analyze material characteristics and defects swiftly, and optimize existing processes to decrease costs, enhance properties, and reduce CO₂ emissions. Osium AI's software is designed to help with any R&D project and adapts to evolving needs, enabling efficient scaling of developments. -
10
BIOVIA ONE Lab
Dassault Systèmes
BIOVIA ONE Lab is a comprehensive laboratory informatics solution designed to streamline workflows, enhance collaboration, and accelerate research across various scientific domains. It provides a unified environment for managing all laboratory data and processes, enabling scientists to make better decisions faster. ONE Lab is leveraged by companies across multiple industries, including Life Sciences, Consumer Packaged Goods, Energy & Materials, and more. It can be deployed across Research, Development, and QA/QC, with the flexibility to meet the specific needs of scientists in each domain. It manages samples, experiments, data, inventory, equipment, and workflows, integrating with a wide range of laboratory instruments and software to connect existing systems and data seamlessly. ONE Lab removes artificial barriers between ELN, LIMS, LES, equipment integration, and inventory management by employing a single data model across all functional areas. -
11
AQChemSim
SandboxAQ
AQChemSim is a cloud-native platform developed by SandboxAQ that leverages Large Quantitative Models (LQMs) grounded in physics and chemistry to revolutionize materials discovery and optimization. By integrating Density Functional Theory (DFT), Iterative Full Configuration Interaction (iFCI), Generative AI, Bayesian Optimization, and Chemical Foundation Models, AQChemSim enables high-fidelity simulations of molecular and material behaviors under real-world conditions. AQChemSim's capabilities include predicting performance under various stresses, accelerating formulation through in silico testing, and exploring sustainable chemical processes. Notably, AQChemSim has demonstrated significant advancements in battery technology by reducing lithium-ion battery end-of-life prediction time by 95%, achieving 35x greater accuracy with 50x less data.
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