Electronic marketplace-to-marketplace alliances: emerging trends and strategic rationales. - Andrew D. White; Elizabeth M. Daniel (ICEC, 2003)

A framework for the sustainability of e-marketplaces. - Elizabeth M. Daniel; John A. Hoxmeier; Andrew D. White; A. Smart (Bus. Process. Manag. J., 2004)

Electronic marketplaces: an empirical study in the UK healthcare sector. - Andrew D. White; Elizabeth M. Daniel (Int. J. Electron. Bus., 2004)

The impact of e-marketplaces on buyersupplier relationships: a cross industry perspective of the ''move to the middle'' hypothesis. - Andrew D. White; Elizabeth M. Daniel; M. Wilkinson (Int. J. Inf. Technol. Manag., 2004)

Exploring the role of third parties in inter-organizational Web service adoption. - Elizabeth M. Daniel; Andrew D. White; John M. Ward (J. Enterp. Inf. Manag., 2004)

The impact of e-marketplaces on dyadic buyer-supplier relationships: evidence from the healthcare sector. - Andrew D. White; Elizabeth M. Daniel (J. Enterp. Inf. Manag., 2004)

The future of inter-organisational system linkages: findings of an international Delphi study. - Elizabeth M. Daniel; Andrew D. White (Eur. J. Inf. Syst., 2005)

The role of emergent information technologies and systems in enabling supply chain agility. - Andrew D. White; Elizabeth M. Daniel; Mohdzaher B. Mohdzain (Int. J. Inf. Manag., 2005)

The adoption of consortium B2B e-marketplaces: An exploratory study. - Andrew D. White; Elizabeth M. Daniel; John M. Ward; Hugh Wilson (J. Strateg. Inf. Syst., 2007)

A WiMAX Payload for High Altitude Platform Experimental Trials. - John Thornton 003; Andrew D. White; Tim C. Tozer (EURASIP J. Wirel. Commun. Netw., 2008)

An innovative model of supply chain management: a single case study in the electronic sector. - Andrew D. White; Mohdzaher B. Mohdzain (Int. J. Inf. Technol. Manag., 2009)

Standardizing and Simplifying Analysis of Peptide Library Data. - Andrew D. White; Andrew J. Keefe; Ann K. Nowinski; Qing Shao; Kyle Caldwell; Shaoyi Jiang (J. Chem. Inf. Model., 2013)

Iterative Peptide Modeling With Active Learning And Meta-Learning. - Rainier Barrett; Andrew D. White (CoRR, 2019)

Graph Neural Network Based Coarse-Grained Mapping Prediction. - Zhiheng Li 002; Geemi P. Wellawatte; Maghesree Chakraborty; Heta A. Gandhi; Chenliang Xu; Andrew D. White (CoRR, 2020)

HOOMD-TF: GPU-Accelerated, Online Machine Learning in the HOOMD-blue Molecular Dynamics Engine. - Rainier Barrett; Maghesree Chakraborty; Dilnoza Amirkulova; Heta A. Gandhi; Geemi P. Wellawatte; Andrew D. White (J. Open Source Softw., 2020)

City-wide modeling of Vehicle-to-Grid Economics to Understand Effects of Battery Performance. - Heta A. Gandhi; Andrew D. White (CoRR, 2021)

Federated Learning of Molecular Properties in a Heterogeneous Setting. - Wei Zhu 015; Andrew D. White; Jiebo Luo 001 (CoRR, 2021)

Investigating Active Learning and Meta-Learning for Iterative Peptide Design. - Rainier Barrett; Andrew D. White (J. Chem. Inf. Model., 2021)

Simulation-based inference with approximately correct parameters via maximum entropy. - Rainier Barrett; Mehrad Ansari; Gourab Ghoshal; Andrew D. White (Mach. Learn. Sci. Technol., 2022)

SELFIES and the future of molecular string representations. - Mario Krenn; Qianxiang Ai; Senja Barthel; Nessa Carson; Angelo Frei; Nathan C. Frey; Pascal Friederich; Théophile Gaudin; Alberto Alexander Gayle; Kevin Maik Jablonka; Rafael F. Lameiro; Dominik Lemm; et al. (Patterns, 2022)

Federated learning of molecular properties with graph neural networks in a heterogeneous setting. - Wei Zhu 015; Jiebo Luo 001; Andrew D. White (Patterns, 2022)

Recent advances in the Self-Referencing Embedding Strings (SELFIES) library. - Alston Lo; Robert Pollice; AkshatKumar Nigam; Andrew D. White; Mario Krenn; Alán Aspuru-Guzik (CoRR, 2023)

Bayesian Optimization of Catalysts With In-context Learning. - Mayk Caldas Ramos; Shane S. Michtavy; Marc D. Porosoff; Andrew D. White (CoRR, 2023)

Censoring chemical data to mitigate dual use risk. - Quintina L. Campbell; Jonathan Herington; Andrew D. White (CoRR, 2023)

Active Learning in Symbolic Regression with Physical Constraints. - Jorge Medina; Andrew D. White (CoRR, 2023)

14 Examples of How LLMs Can Transform Materials Science and Chemistry: A Reflection on a Large Language Model Hackathon. - Kevin Maik Jablonka; Qianxiang Ai; Alexander Al-Feghali; Shruti Badhwar; Joshua D. Bocarsly; Andres M. Bran; Stefan Bringuier; L. Catherine Brinson; Kamal Choudhary; Defne Circi; Sam Cox; Wibe A. de Jong; et al. (CoRR, 2023)

Predicting small molecules solubilities on endpoint devices using deep ensemble neural networks. - Mayk Caldas Ramos; Andrew D. White (CoRR, 2023)

PaperQA: Retrieval-Augmented Generative Agent for Scientific Research. - Jakub Lála; Odhran O'Donoghue; Aleksandar Shtedritski; Sam Cox; Samuel G. Rodriques; Andrew D. White (CoRR, 2023)

Serverless Prediction of Peptide Properties with Recurrent Neural Networks. - Mehrad Ansari; Andrew D. White (J. Chem. Inf. Model., 2023)

Bloom filters for molecules. - Jorge Medina; Andrew D. White (J. Cheminformatics, 2023)

A Review of Large Language Models and Autonomous Agents in Chemistry. - Mayk Caldas Ramos; Christopher J. Collison; Andrew D. White (CoRR, 2024)

LAB-Bench: Measuring Capabilities of Language Models for Biology Research. - Jon M. Laurent; Joseph D. Janizek; Michael Ruzo; Michaela M. Hinks; Michael J. Hammerling; Siddharth Narayanan; Manvitha Ponnapati; Andrew D. White; Samuel G. Rodriques (CoRR, 2024)

Language agents achieve superhuman synthesis of scientific knowledge. - Michael D. Skarlinski; Sam Cox; Jon M. Laurent; James D. Braza; Michaela M. Hinks; Michael J. Hammerling; Manvitha Ponnapati; Samuel G. Rodriques; Andrew D. White (CoRR, 2024)

Aviary: training language agents on challenging scientific tasks. - Siddharth Narayanan; James D. Braza; Ryan-Rhys Griffiths; Manvitha Ponnapati; Albert Bou; Jon M. Laurent; Ori Kabeli; Geemi P. Wellawatte; Sam Cox; Samuel G. Rodriques; Andrew D. White (CoRR, 2024)

Augmenting large language models with chemistry tools. - Andres M. Bran; Sam Cox; Oliver Schilter; Carlo Baldassari; Andrew D. White; Philippe Schwaller (Nat. Mac. Intell., 2024)

MDCrow: Automating Molecular Dynamics Workflows with Large Language Models. - Quintina L. Campbell; Sam Cox; Jorge Medina; Brittany Watterson; Andrew D. White (CoRR, 2025)

BixBench: a Comprehensive Benchmark for LLM-based Agents in Computational Biology. - Ludovico Mitchener; Jon M. Laurent; Benjamin Tenmann; Siddharth Narayanan; Geemi P. Wellawatte; Andrew D. White; Lorenzo Sani; Samuel G. Rodriques (CoRR, 2025)

Robin: A multi-agent system for automating scientific discovery. - Ali Essa Ghareeb; Benjamin Chang 008; Ludovico Mitchener; Angela Yiu; Caralyn J. Szostkiewicz; Jon M. Laurent; Muhammed T. Razzak; Andrew D. White; Michaela M. Hinks; Samuel G. Rodriques (CoRR, 2025)

Training a Scientific Reasoning Model for Chemistry. - Siddharth Narayanan; James D. Braza; Ryan-Rhys Griffiths; Albert Bou; Geemi P. Wellawatte; Mayk Caldas Ramos; Ludovico Mitchener; Samuel G. Rodriques; Andrew D. White (CoRR, 2025)