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Innovate, Manufacture, Deploy & Operate

Harness advanced computation and analytics and maximize the potential of your 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

Hydriza Portfolio

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Technologies - H2


Our software offers a transformative solution to enhance your competitiveness in manufacturing fuel cell electric vehicles [FCEVs] and other fuel cell energy conversion devices. By addressing the primary challenges hindering the widespread adoption of this technology, we empower you to overcome barriers and unlock its full potential. The high cost of precious metal electrocatalysts, which are currently standard in fuel cell systems, restricts the development of cost-competitive fuel cells compared to traditional hydrocarbon-based power sources. Catalyst design emerges as the most critical material obstacle in fuel cell deployment.


Our software addresses this challenge by expediting the development and deployment of platinum group metal-free [PGM-free] electrocatalysts in fuel cells. Through a systematic approach, the model enables the rapid and comprehensive synthesis and analysis of potential catalysts using high-throughput, combinatorial methods. Leveraging the power of high-performance computing and generative design, our partners gain unprecedented insights previously unattainable through conventional approaches and methods. Seize the opportunity to revolutionize fuel cell technology and drive innovation in the industry.

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