Materys offers a cloud platform for materials research, enabling users to design and simulate materials at the atomic scale. The platform supports materials property calculations, high-throughput screening, and data generation for AI-driven materials science solutions. Users can interactively build molecular systems, run simulations with configurable options, and analyze results to accelerate R&D workflows across fields like semiconductors and catalysis.
Funding
Funding not disclosed
Founders
Product
Problem
Designing and simulating novel materials at the nanoscale requires significant computational resources, specialized software, and expertise in quantum chemistry, creating a barrier to entry for many research teams. Traditional methods often involve costly infrastructure and complex software setups, hindering efficient materials discovery and analysis.
Solution
Materys offers a cloud-based platform that simplifies nanoscale materials design by providing access to simulation tools for materials properties calculations and high-throughput screening. The platform eliminates the need for extensive infrastructure or specialized software, enabling users to efficiently create, simulate, and analyze materials for various applications. Users can create or import molecular systems, configure simulations with a single click, and analyze data to gain insights and accelerate R&D workflows. The platform also provides seamless data management, allowing users to easily store, retrieve, and search simulation data.
Target Audience
The primary target audience includes researchers and engineers in semiconductors, energy storage, catalysis, organic electronics, and related fields who require efficient tools for nanoscale materials design and simulation.
Features
- Interactive 3D molecular builder for creating, importing, and editing molecular systems
- One-click simulation execution with options for advanced configuration and high-throughput screening
- Tools for analyzing and visualizing data to gain insights and communicate findings
- Seamless data management for storing, retrieving, and searching simulation data
- Prediction of conductivity, bandgap, and crystal structure for semiconductor R&D
- Automated workflows for exploring chemical spaces and predicting properties for energy storage and conversion technologies
- Simulation of polymer interactions with solvents to predict stability and permeability
- Calculation of electronic and optical properties for plastics and polymers
- Simulation of spectra like IR, UV, and Raman to enhance interpretation and reveal molecular insights