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Innovate, Manufacture, Deploy & Operate

Harness advanced computation and analytics and maximize the potential of your clean energy technology or projects. By leveraging these tools, you can unlock significant benefits and drive optimal performance.

Lifecycle Management - Innovators, Developers, Financial Institutions 

Predicting material properties is a laborious and expensive process, especially when it comes to synthesizing and validating novel materials in the physical world. However, there is a promising solution offered by Large Language Models [LLM] & other Neural Networking [NN] techniques, which significantly reduce the time and cost involved in materials development. Through the utilization of LLM & other NN algorithms, inputs such as crystal structure, chemical composition, and electronic band structures can be used to train models that predict computationally challenging or costly properties. Moreover, Machine Learning [ML] empowers scientists to generate innovative ideas for intricate tasks like solid-state synthesis and crystal structure determination, unveiling previously inaccessible physical insights. This efficient approach allows scientists to explore extensive chemical and configurational search spaces in pursuit of stable, affordable, and high-performance materials. Our engine, powered by LLM and High Performance Computing [HPC], facilitates atomistic as well as molecular generative materials design. With the support of advanced computational resources, the engine seamlessly integrates various stages of the materials design process, including hypothesis generation, calculation setup, experiment execution, informatics analysis, and database development. Helping you do more with less.

Lifecycle Management | Innovators | Applications

RenuMat-DB Portfolio

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Technologies - LDES | H2 | SAF | DAC


Engage in the exciting journey of systematically exploring data related to molecules that are crucial for battery electrolytes. By harnessing the power of data, you can formulate well-informed hypotheses and embark on experimental investigations.


But that's not all. Imagine the added advantage of leveraging advanced AI technologies to facilitate rigorous adversarial peer review. This revolutionary approach ensures critical evaluation and constructive feedback on your experimental findings, propelling your research to new heights. Stay at the forefront of innovation and drive breakthroughs in battery electrolytes with our comprehensive solution.

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