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The A.I. revolution is here, and our expert team is ready to help get your R&D up to speed.

            

        

    






    

        

            

                                                        

                        

                            

                                

                                
                                    
                                    Aionics Releases Advanced Molecular Property Prediction Models for Next Generation Energy Technologies
                                
                            

                            
                            
Aionics is excited to announce today’s launch of its state-of-the-art Molecular Property Prediction Models on Google Cloud. These models, powered by graph neural networks (GNNs), represent a leap forward in materials research and development, and support generative AI-based molecular design processes for energy technologies. The models are completely general – able to process any arbitraryContinue reading "Aionics Releases Advanced Molecular Property Prediction Models for Next Generation Energy Technologies"

                            
                        

                        
                    

                                                        

                        

                            

                                

                                
                                    
                                    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 "Aionics Releases Advanced Molecular Property Prediction Models for Next Generation Energy Technologies"

                            
                        

                        
                    

                                                        

                        

                            

                                

                                
                                    
                                    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 "Aionics Releases Advanced Molecular Property Prediction Models for Next Generation Energy Technologies"

                            
                        

                        
                    

                                                        

                        

                            

                                

                                
                                    
                                    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 "Aionics Releases Advanced Molecular Property Prediction Models for Next Generation Energy Technologies"