We solve the problems materials R&D meets on the ground — with simulation, data, and AI platforms.
Since 2016, VirtualLab has brought modern software to the daily problems of materials research. Built by domain experts in materials, our simulation, data, and AI platforms help research teams decide faster and deeper — in the lab, and on the factory floor.
Connect researchers and digital technology — through platforms.
Our mission is to build the bridge between researchers and digital methods. Instead of asking scientists to master a new toolchain, we bring simulation, data, and AI into the workflows they already use — and let them turn it into real research outcomes.
Deep know-how, across three reinforcing areas.
Simulation platforms
Over a decade of DFT, MD, and CALPHAD operations distilled into an intuitive web UI — with workflows and templates proven across industrial labs.
Data / AI for R&D
Built by a team that understands materials data structures and the R&D cycle in depth — capturing the domain specificity generic ML tools miss.
HPC infrastructure
Years of operating clusters tuned per solver for materials workloads — managed cloud capacity ready to expand the moment in-house resources fall short.
Milestones
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2016
- VirtualLab founded
- Certified corporate R&D lab, venture company status
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2017
- Materials Square v1.0 launch
- Web-based lithium-ion battery simulation platform (iBat)
- Core computational platform patent granted
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2018
- Materials Square v2.0
- Thermoelectric materials database with KRICT
- Research behavior-based R&D big-data framework project
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2019
- SimPL simulation platform framework project launched
- Machine-learning alloy design platform project launched
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2020
- Cloud-based interactive materials education environment delivered
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2024
- D3Square v1.0 launched for data-driven materials design
- MAXFlops HPC managed services rolled out
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2025
- Certified as a Specialized Company for Materials, Components, and Equipment (소부장 전문기업)
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2026
- D3Square v2.0 released — virtual lab features and local LLM analysis
Selected national R&D projects
- Web-based multiscale simulation platform for energy nanomaterials — KEIT, 2017
- KiRI Note electronic research notebook — KIST, 2018
- Simulation software for electrode nanomaterials — KIER, 2018
- SimPL web-based computational platform framework — MSIT, 2019 –
- ML-based alloy powder design and manufacturing platform — KEIT, 2019 –
- Researcher-behavior-based R&D big-data framework — MSIT, 2019 –
- Cloud-simulation-based interactive materials education environment — NIA, 2020
Tell us what you are working on
Whether you need a platform, data science support, or HPC — we would like to hear about your problem first.