Advancing Open-Source AI in Chemistry and Materials—From Foundation Models to Integrated Frameworks to Solve Global Challenges
- 2024
- MRS Fall Meeting 2024
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24 results for Eduardo Soares
Foundation Models and Multi-Agent Systems for Polymer and Catalyst Design
- 2024
- MRS Fall Meeting 2024
An Open Multi-Modal Foundation Model for Materials and Chemistry
- Seiji Takeda
- Indra Priyadarsini S
- et al.
- 2024
- MRS Fall Meeting 2024
Advancing Molecular Property Prediction through Multi-view Latent Space Fusion
- Eduardo Almeida Soares
- Akihiro Kishimoto
- et al.
- 2024
- ACS Spring 2024
Predictive Supremacy of Chemical Foundational Model for Battery Electrolytes
- 2023
- MRS Fall Meeting 2023
Enhancing Molecular Properties Prediction through Multi-Stage Causal Feature Selection
- Eduardo Almeida Soares
- Karen Fiorella Aquino Gutierrez
- et al.
- 2023
- ACS Fall 2023
ALCHIMIA - Advanced Learning for Chemistry Interpretation and Integrated Molecule Analysis
- 2024
- MRS Fall Meeting 2024
MatGFN-PFAS: An AI-driven approach for toxic PFAS replacement
- 2024
- ACS Spring 2024
Expanded Dataset for Improved Prediction of Chemical Biodegradability
- 2023
- ACS Fall 2023
A Large Encoder-Decoder Polymer-Based Foundation Model
- 2024
- NeurIPS 2024