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Principal Scientific Developer Dr. Jeremy Monat Contributes MolsMatrixToGridImage to RDKit Open Source Cheminformatics Library

A rising tide lifts all boats. That’s what we believe at Aionics. When it comes to the study of materials informatics and cheminformatics, the more accessible and robust open source software tools, the better. Although our business relies on us building our own proprietary materials informatics and simulation software, we believe it is important forContinue reading "Principal Scientific Developer Dr. Jeremy Monat Contributes MolsMatrixToGridImage to RDKit Open Source Cheminformatics Library"

LK-99: What can machine learning tell us about the candidate superconductor?

The suspense continues about a possibly world-changing discovery¬† By Dr. Shreyas Honrao, Senior Materials Informatics Scientist, and Dr. Austin Sendek, Chief Executive Officer The scientific world has been abuzz for the last two weeks with news of a possible ground-breaking discovery: the world’s first room temperature, ambient pressure superconductor. Dubbed LK-99, this material was firstContinue reading "Principal Scientific Developer Dr. Jeremy Monat Contributes MolsMatrixToGridImage to RDKit Open Source Cheminformatics Library"

From the Founders' Desk: Materials Science in the Age of ChatGPT

In the rapidly advancing field of artificial intelligence, the advent of large language models (LLMs) has brought about significant changes in various domains. One area that stands to benefit immensely from these developments is materials science. Materials scientists traditionally rely on structured data and quantitative structure-property relationship (QSPR) models to extract facts from unstructured data.Continue reading "Principal Scientific Developer Dr. Jeremy Monat Contributes MolsMatrixToGridImage to RDKit Open Source Cheminformatics Library"