MDLab: AI frameworks for Carbon Capture and Battery MaterialsBruce ElmegreenHendrik Hamannet al.2025Frontiers in Environmental Science
SMI-TED: A large-scale foundation model for materials and chemistryEduardo Almeida SoaresEmilio Ashton Vital Brazilet al.2025ICLR 2025
Mol-Moe: A multi-view mixture-of-experts framework for molecular property prediction with SMILES, SELFIES, and graph representationsVictor Yukio ShirasunaEmilio Ashton Vital Brazilet al.2025ACS Spring 2025
Open-source large-scale foundation model for chemistryEduardo Almeida SoaresEmilio Ashton Vital Brazilet al.2025ACS Spring 2025
Comparative Study of Open-source LLMs for text classification and knowledge extraction in the Material Discovery DomainViviane T. SilvaAnaximandro Souzaet al.2025ACS Spring 2025
GMO-Mat: A foundation model-based generative multi-objective optimization framework for materials discoveryCarlos Raoni De Alencar MendesLeonardo Noia Nanci de Araujo Silvaet al.2025ACS Spring 2025
Multimodal foundation model for aligning smiles representations with DFT electron density gridsEmilio Ashton Vital BrazilEduardo Almeida Soareset al.2025ACS Spring 2025
Uncertainty Characterization of Foundation Models for Reliable Applications in Materials and ChemistryEmilio Ashton Vital BrazilPriscilla Barreira Aveglianoet al.2025ACS Spring 2025