Deep Reinforcement Learning-Based Energy Storage Arbitrage With Accurate Lithium-Ion Battery Degradation Model. - Jun Cao; Dan Harrold; Zhong Fan; Thomas Morstyn; David Healey; Kang Li 002 (IEEE Trans. Smart Grid, 2020)

Ensembles of knowledge graph embedding models improve predictions for drug discovery. - Daniel Rivas-Barragan; Daniel Domingo-Fernández; Yojana Gadiya; David Healey (Briefings Bioinform., 2022)

The role of living laboratories in unlocking the potential of low-carbon energy technologies on the journey to net-zero. - Zhong Fan; Jun Cao; Taskin Jamal; Chris Fogwill; Cephas Samende; Zoe Robinson; Fiona Polack; Mark Ormerod; Sharon George; Adam Peacock; David Healey (CoRR, 2022)

Multi-scale Sinusoidal Embeddings Enable Learning on High Resolution Mass Spectrometry Data. - Gennady Voronov; Rose Lightheart; Joe Davison; Christoph A. Krettler; David Healey; Thomas Butler (CoRR, 2022)

Causal reasoning over knowledge graphs leveraging drug-perturbed and disease-specific transcriptomic signatures for drug discovery. - Daniel Domingo-Fernández; Yojana Gadiya; Abhishek Patel; Sarah Mubeen; Daniel Rivas-Barragan; Chris W. Diana; Biswapriya B. Misra; David Healey; John C. Rokicki; Viswa Teja S. S. Colluru (PLoS Comput. Biol., 2022)

Efficiently predicting high resolution mass spectra with graph neural networks. - Michael Murphy; Stefanie Jegelka; Ernest Fraenkel; Tobias Kind; David Healey; Thomas Butler (ICML, 2023)

On the correspondence between the transcriptomic response of a compound and its effects on its targets. - Chloe Engler Hart; Daniel Ence; David Healey; Daniel Domingo-Fernández (BMC Bioinform., 2023)

Exploring the known chemical space of the plant kingdom: insights into taxonomic patterns, knowledge gaps, and bioactive regions. - Daniel Domingo-Fernández; Yojana Gadiya; Sarah Mubeen; David Healey; Bryan H. Norman; Viswa Teja S. S. Colluru (J. Cheminformatics, 2023)

Evaluating the generalizability of graph neural networks for predicting collision cross section. - Chloe Engler Hart; António J. Preto; Shaurya Chanana; David Healey; Tobias Kind; Daniel Domingo-Fernández (J. Cheminformatics, 2024)