Mining for Gold: How to Predict Service Contract Performance with Optimal Accuracy Based on Ordinal Risk Assessment Data. - Sinem Güven; Mathias Steiner; Tsuyoshi Idé; Amit M. Paradkar; Sergey Makogon; Alejandro Venegas (IEEE SCC, 2014)

Understanding the role of sentiment analysis in contract risk classification. - Sinem Güven; Mathias Steiner; Niyu Ge; Amit M. Paradkar (NOMS, 2014)

Extensive Attention Mechanisms in Graph Neural Networks for Materials Discovery. - Guojing Cong; Talia Ben-Naim; Victor Fung; Anshul Gupta; Rodrigo Neumann; Mathias Steiner (ICDM (Workshops), 2022)

Prediction of CO2 Adsorption in Nano-Pores with Graph Neural Networks. - Guojing Cong; Anshul Gupta; Rodrigo Neumann; Maíra de Bayser; Mathias Steiner; Breanndán Ó Conchúir (CoRR, 2022)

Discovery of Novel Reticular Materials for Carbon Dioxide Capture using GFlowNets. - Flaviu Cipcigan; Jonathan Booth; Rodrigo Neumann Barros Ferreira; Carine Ribeiro dos Santos; Mathias Steiner (CoRR, 2023)

Automated, LLM enabled extraction of synthesis details for reticular materials from scientific literature. - Viviane Torres da Silva; Alexandre Rademaker; Krystelle Lionti; Ronaldo Giro; Geisa Lima; Sandro Rama Fiorini; Marcelo Archanjo; Breno W. Carvalho; Rodrigo Neumann; Anaximandro Souza; João Pedro Souza; Gabriela de Valnisio; et al. (CoRR, 2024)

Quantum-centric supercomputing for materials science: A perspective on challenges and future directions. - Yuri Alexeev; Maximilian Amsler; Marco Antonio Barroca; Sanzio Bassini; Torey Battelle; Daan Camps; David Casanova; Young Jay Choi; Frederic T. Chong; Charles Chung; Christopher Codella; Antonio D. Córcoles; et al. (Future Gener. Comput. Syst., 2024)