Best Materials Science Software in India
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Compare the Top Materials Science Software in India as of October 2026
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What is Materials Science Software in India?
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 in India currently available using the table below. This list is updated regularly.
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1
Grantu EduPack
Ansys
Ansys Granta EduPack, formerly CES EduPack, is a unique set of teaching resources that help academics enhance courses related to materials across engineering, design, science and sustainable development. Granta EduPack provides support to enhance undergraduate materials education. EduPack includes a database of materials and process information, materials selection tools and a range of supporting resources. EduPack is divided into three levels so that students can access a suitable level of information as they progress through their studies. Granta EduPack has also been designed to support a wide variety of teaching styles, from the design and science-led approaches to problem-based teaching. The database and tools are divided into three levels so that students can access a suitable level of information as they progress through their studies, from pre-university up to postgraduate courses. -
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Ansys Lumerical Multiphysics is a photonics component simulation software that enables the seamless design of photonic components by capturing multiphysics effects, including optical, thermal, electrical, and quantum well interactions, within a unified design environment. Tailored for design engineering workflows, this intuitive product design software offers a fast user experience, facilitating rapid design exploration and providing detailed insights into real-world product performance. It combines live physics and accurate high-fidelity simulation into an easy-to-use interface, supporting faster time-to-market. Key features include a finite element design environment, integrated multiphysics workflows, comprehensive material models, and capabilities for automation and optimization. The suite of solvers and seamless workflows in Lumerical Multiphysics accurately capture the interplay of physical effects in modeling both passive and active photonic components.
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FactSage
FactSage
FactSage is a comprehensive thermochemical software and database package developed jointly by Thermfact/CRCT (Montreal, Canada) and GTT-Technologies (Aachen, Germany). It integrates thermochemical packages, resulting from over 20 years of collaborative efforts. It comprises a series of information, database, calculation, and manipulation modules that access various pure substances and solution databases. FactSage is utilized by numerous industrial, governmental, and academic users in fields such as materials science, pyrometallurgy, hydrometallurgy, electrometallurgy, corrosion, glass technology, combustion, ceramics, and geology. Users have access to thermodynamic data for thousands of compounds, as well as evaluated and optimized databases for hundreds of solutions, including metals, oxides, slags, mattes, salts, and aqueous solutions. -
4
Digimat
e-Xstream engineering
e-Xstream engineering develops and commercializes the Digimat suite of software, a state-of-the-art multi-scale material modeling technology that speeds up the development process for composite materials and structures. Digimat is a core technology of 10xICME Solution and is used to perform detailed analyses of materials on the microscopic level and to derive micromechanical material models suited for multi-scale coupling of the micro- and macroscopic level. Digimat material models provide the means to combine processing simulation with structural FEA. This means to move towards more predictive simulation by taking into account the influence of processing conditions on the performance of the finally produced part. As an efficient and predictive tool Digimat helps its users to design and manufacture innovative composite materials and parts with great efficiency in time and costs. -
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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. -
6
Simcenter Femap
Siemens Digital Industries
Simcenter Femap is an advanced simulation application for creating, editing, and inspecting finite element models of complex products or systems. You can use advanced workflows in Simcenter Femap to model components, assemblies, or systems, to then determine a model’s behavioral response when subjected to real-world conditions. In addition, Simcenter Femap provides powerful data-driven and graphical results visualization and evaluation, which in combination with the industry-leading Simcenter Nastran, delivers a comprehensive CAE solution that improves product performance. In the quest to make products lighter yet stronger, manufacturers are increasing their use of composite materials. Simcenter is at the leading edge of composites analysis through continuous development of material models and element types. Simcenter speeds the entire process for simulating laminate composite materials through a seamless connection to composites design. -
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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. -
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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. -
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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. -
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SIMHEAT
TRANSVALOR
Induction heat treatment simulation provides comprehensive information about temperature gradient from surface to core and also the location of areas where phase transformations occur. SIMHEAT® can monitor the impact of current frequency, coil geometry and even concentrators’ location within the heat affected zone. Material modelling considers electrical and magnetic properties that are temperature-dependent. SIMHEAT® can be used as a standalone solution or in combination with Transvalor software. The perfect interoperability guarantees seamless results transfer from one solution to another. All the capabilities and functionalities of SIMHEAT® are also integrated in our FORGE® software, dedicated to the simulation of hot, semi-hot and cold forming processes. -
11
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. -
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Kebotix
Kebotix
Kebotix is a technology platform company for new chemicals and materials, ushering in a new age of high-speed innovation using artificial intelligence and robotic automation. Kebotix has built the world’s first self-driving lab for materials discovery powered by AI and robotics. Kebotix is accelerating the exploration, discovery, use, and production of new molecules and materials that can solve some of the world’s most urgent problems. Bring your products to market faster with us and benefit from the leading material design technology powered by our self-driving lab. Kebotix boosts your R&D to the forefront of digitalization by providing enterprise AI solutions customized for your materials discovery. We help you bring better products to market faster with automated learning from each iteration of the predict-produce-prove cycle. -
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BIOVIA Materials Studio
Dassault Systèmes
BIOVIA Materials Studio is a comprehensive modeling and simulation environment designed to enable researchers in materials science and chemistry to predict and understand the relationships between a material’s atomic and molecular structure and its properties and behavior. Utilizing an "in silico first" approach allows for the optimization of material performance in a cost-effective virtual setting prior to physical testing. It supports a wide range of materials, including catalysts, polymers, composites, metals, alloys, pharmaceuticals, batteries, and more. It offers tools for quantum, atomistic, mesoscale, statistical, analytical, and crystallization simulations, facilitating the design of advanced materials across various industries. Features include the ability to accelerate innovation, reduce R&D costs through virtual screening, and improve efficiency by automating best practices within Pipeline Pilot. -
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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. -
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Thermo-Calc
Thermo-Calc
Thermo-Calc is a powerful thermodynamic modeling software used by materials scientists and engineers to generate material properties data, gain insights about materials, understand specific observations, and answer direct questions related to a specific material and/or its processing. It includes several built-in calculators that come standard with all licenses, including the Equilibrium Calculator, Scheil Solidification Simulations, Property Model Calculator, General Model Library, Material to Material Calculator, Pourbaix Diagram Module, and Data Optimization Module (PARROT). Thermo-Calc can be expanded with several Add-on Modules and over 40 available databases, all integrated into one platform, providing a unified working environment. It allows users to calculate the state for a given thermodynamic system to obtain insights such as amounts and compositions of phases, transformation temperatures, solubility limits, driving forces for phase formation, and more. -
16
QSimulate
QSimulate
QSimulate offers a suite of quantum simulation platforms that leverage quantum mechanics to solve complex, industrial-scale problems in life sciences and materials science. The QSP Life platform provides unique quantum-powered methods for drug discovery and optimization, enabling first-of-a-kind quantum simulations of ligand-protein interactions applicable throughout the computational drug discovery process. The QUELO platform performs hybrid quantum/classical free energy calculations, offering users the ability to run relative free energy calculations using the free energy perturbation (FEP) approach. Additionally, QSimulate's technology enables groundbreaking advances in quantum mechanics/molecular mechanics (QM/MM) simulations for large protein modeling. For materials science, the QSP Materials platform democratizes quantum mechanical simulations, allowing experimentalists to automate complex workflows without the need for specialization. -
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Atinary SDLabs Platform
Atinary
Atinary's Self-Driving Labs (SDLabs) platform is an AI and machine learning solution designed to digitize and automate R&D workflows, enabling traditional laboratories to transition from manual experiments to autonomous experimentation. It facilitates the design and optimization of experiments through a closed-loop system that integrates AI-driven hypotheses, predictions, and decisions. Key features include multi-objective optimization, database management, workflow orchestration, and real-time data analytics. Users can define experiments with constraints, allow the ML algorithms to decide on subsequent iterations, run experiments (with or without robotic assistance), analyze data, and retrain models with new data, thereby accelerating the discovery of better, cheaper, and greener products. Atinary's proprietary algorithms, such as Emmental for non-linear constrained optimization, SeMOpt for transfer learning in Bayesian optimization, and Falcon. -
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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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DIGIMU
TRANSVALOR
DIGIMU® generates digital polycrystalline microstructures representative of the material's heterogeneities (compliance with the topological characteristics of the microstructure). The boundary conditions applied to the REV are representative of that experienced by a material point at the macroscopic scale (thermomechanical cycle of the considered point). Based on a Finite Elements formulation, the various physical phenomena involved during metal forming processes are simulated (recrystallization, grain growth, Zener pinning due to second phase particles, etc.). In order to improve digital precision and to reduce computation times, the software is capable of providing a precise description of the interfaces (grain boundaries) while using an appropriate number of elements thanks to a fully automated anisotropic meshing and remeshing adaptation technology.
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