Publications

Explore the latest journal articles and research outputs from the AIchemy Hub

Machine-Learning Predictions of Photoluminescence in Molecules Exhibiting Thermally Activated Delayed Fluorescence with Implicit Experimental Validation

Journal of Chemical Information and Modeling

Closing the synthesis gap in computational materials design

Nature Synthesis

NMIRacle: Multi-modal Generative Molecular Elucidation from IR and NMR Spectra

arXiv – archive

Automatic Generation of a Mechanical Properties Question-Answering Data Set for Language Model Benchmarking: A Comparative Study of BERT, XLNet, and LLaMA Models.

Journal of Chemical Information and Modeling

Towards Foundation Models Trained from Crystal Structure Prediction of the Organic Molecular Solid State

ChemRxiv

Can we automate scientific reasoning in closed-loop experiments using large language models?

Digital Discovery

Deep learning-enabled discovery of low-melting-point ionic liquids

Digital Discovery

Expanding the chemical space of ionic liquids using conditional variational autoencoders

Chemical Science

Accelerating discovery through integration: a DFT validated machine learning framework for screening MOF photocatalysts

Journal of Materials Chemistry A

MATTERIX: toward a digital twin for robotics-assisted chemistry laboratory automation

Nature Computational Science

The Catechol Benchmark: Time-series Solvent Selection Data for Few-shot Machine Learning

arXiv – archive

A Large Language Multimodal Model for Metal-Organic Frameworks

arXiv – archive

Language-Based Bayesian Optimization Research Assistant (BORA)

IJCAI – International Joint Conferences on Artificial Intelligence Organization

Automated Determination of the Molecular Substructure from Nuclear Magnetic Resonance Spectra Using Neural Networks

Journal of Chemical Information and Modeling

Exploration of crystal chemical space using text-guided generative artificial intelligence

Nature Communications

Cross-disciplinary perspectives on the potential for artificial intelligence across chemistry

Chemical Society Reviews

Predictive crystallography at scale: mapping, validating, and learning from 1000 crystal energy landscapes

Faraday Discussions RSC