Case Studies

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Accelerating MOF Candidate Selection for Commercialization: Simulation-Driven Materials Discovery at Atomis

Atomis, Inc. Chemicals (Porous materials/MOF/PCP)

Where to Position Matlantis Among Computation, Experiment, and Machine Learning Research Design for Materials Discovery — Insights from CCEL at Seoul National University

Seoul National University, CCEL (Computational Catalysis and Emerging Materials Lab)Academia

Computation Guides, Experimentation Tackles. Accelerating Research at Honda with Matlantis

Honda R&D Co., Ltd.Research and Development (Transportation Equipment and Advanced Technology)

Prof. Shimogaki of the University of Tokyo talks about two "Before and Afters" with Matlantis: The new research style transforming surface reaction research and education

University of Tokyo, Shimogaki LaboratoryAcademia

Verification period shortened from 2-3 years to 1.5 months after Matlantis. Significant enhancement in speed and efficiency of development processes with computation.

Kuraray Co., Ltd.Chemicals

Matlantis enables a development process that shifts from the traditional "test-first" approach to "calculation-first" testing.

AGC Inc.Glass and Chemicals

Kao Corporation - ahead of experiments with computational chemistry mastering the speed of Matlantis - shortening devlopment period

Kao CorporationChemicals

Leveraging Matlantis to Build a Proprietary Materials Database and Unlock a New Approach to Exploration — With Over 10 Million Structures Simulated Annually

Toyota Motor CorporationTransportation Equipment

High-speed, general-purpose atomic-level simulator revolutionizes catalyst development

ENEOS CorporationOil and Coal