Foundation Models and Multi-Agent Systems for Polymer and Catalyst Design
- 2024
- MRS Fall Meeting 2024
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450 results for Accelerated Discovery
An Open Multi-Modal Foundation Model for Materials and Chemistry
- Seiji Takeda
- Indra Priyadarsini S
- et al.
- 2024
- MRS Fall Meeting 2024
Domain-Specific Knowledge Integration Through Curriculum Learning Method in Machine Learning for Spectral Analysis
- Hajime Shinohara
- Akihiro Kishimoto
- et al.
- 2024
- MRS Fall Meeting 2024
Surface reaction calculations with quantum computers for battery materials
- 2024
- ACS Fall 2024
Predicting polymerization reactions via transfer learning using chemical language models
- Ronaldo Giro
- Brenda S. Ferrari
- et al.
- 2024
- ACS Fall 2024
MorganGen: Generative Modeling of SMILES Using Morgan Fingerprint Features
- 2024
- ACS Fall 2024
AI-Assisted Raman Spectral Peak Label Assignment
- 2024
- ACS Fall 2024
Multimodal Molecular Representation Learning for Small Molecule Drug Discovery - Pretraining and Early Fusion Architectures
- Partha Suryanarayanan
- Shreyans Sethi
- et al.
- 2024
- ACS Fall 2024
Atomistic simulations and machine learning approaches to investigate bromoform interactions with cell membranes: Implications for seaweed-based methane emission reduction
- Jie Shi
- Kevin Cheng
- et al.
- 2024
- ACS Fall 2024
Dataset of Reticular Materials' Syntheses Automatically Created from PDFs by using LLMs
- 2024
- ACS Fall 2024