AI-powered discovery of Chemicals and Materials

Publications

Bentria, El Tayeb, et al. “Insights on the effect of water content in carburizing gas mixtures on the metal dusting corrosion of iron.” Applied Surface Science 579 (2022): 152138.
Satyanarayana Bonakala, Anas Abutaha, Palani Elumalai, Ayman Samara, Said Mansour, and Fedwa El-Mellouhi ACS Omega 2022 7 (50), 46515-46523 DOI: 10.1021/acsomega.2c05345
Ziaullah, A.W., Chawla, S. & El-Mellouhi, F. Faux-Data Injection Optimization for Accelerating Data-Driven Discovery of Materials. Integr Mater Manuf Innov 12, 157–170 (2023).
Shakeel, M. B., Belhaouari, S. B., & Mellouhi, F. E. (2023). Automated Model Training (AMT) GUI: An Opportunity for integrating AI in the Laboratory Experiment. ArXiv. /abs/2311.13808
Satyanarayana Bonakala, Michael Aupetit, Halima Bensmail and Fedwa El-Mellouhi Digital Discovery, 2024, 3, 502-513 10.1039/D3DD00179B

Park, Heesoo, et al. “Data-driven enhancement of cubic phase stability in mixed-cation perovskites.” Machine Learning: Science and Technology 2.2 (2021): 025030.

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About AiSciA Informatics

Our Mission

At AiSciA Informatics, our mission is to provide top-quality software solutions to businesses of all sizes. We strive to exceed our clients' expectations and deliver innovative solutions that drive growth and success.

Our Team

Our team is comprised of experienced software developers, designers, and project managers who are dedicated to delivering exceptional results. We work collaboratively with our clients to ensure that their unique needs are met and that they receive the best possible service.

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At AiSciA Informatics, we have expertise in a wide range of software development areas, including web development, mobile app development, and custom software development. We use the latest technologies and tools to ensure that our clients receive cutting-edge solutions that drive their business forward.