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Open Access research that better understands changing marine ecologies...

Strathprints makes available scholarly Open Access content by researchers in the Department of Mathematics & Statistics.

Mathematics & Statistics hosts the Marine Population Modelling group which is engaged in research into topics surrounding marine resource modelling and ecology. Recent work has included important developments in the population modelling of marine species.

Explore the Open Access research of Mathematics & Statistics. Or explore all of Strathclyde's Open Access research...

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Jump to: 2026 | 2025
Number of items: 6.

2026

Zollner, Malin and Nematiaram, Tahereh (2026) A multireference excited state database for correlation-aware screening of organic semiconductors in excitonic energy-materials discovery. In: AIChemy ECR Exchange: Scotland, 2026-06-02, University of Strathclyde.

Zollner, Malin and Moshfeghi, Yashar and Nematiaram, Tahereh (2026) Learning the limits : how data, diversity, and representation control machine-learning predictions of reorganisation energy. Journal of Materials Chemistry. C, 14 (14). pp. 5999-6011. ISSN 2050-7526

Zollner, Malin and Moshfeghi, Yashar and Nematiaram, Tahereh (2026) Artificial intelligence in the discovery and design of molecular semiconductors : a systematic review. Digital Discovery, 5 (3). pp. 1037-1067. ISSN 2635-098X

2025

Zollner, Malin and Moshfeghi, Yashar and Nematiaram, Tahereh (2025) Balancing accuracy and generalisability for predicting hole and electron reorganisation energy of next Generation organic semiconductors. In: RSC Theoretical Chemistry Graduate Student Meeting 2025, 2025-09-04 - 2025-09-05, Zoom.

Zollner, Malin and Moshfeghi, Yashar and Nematiaram, Tahereh (2025) Balancing accuracy and generalisability for predicting hole and electron reorganisation energy of next generation organic semiconductors. In: Doctoral School Multidisciplinary Symposium (DSMS) 2025, 2025-08-27 - 2025-08-28, United Kingdom.

Zollner, Malin and Nematiaram, Tahereh and Moshfeghi, Yashar (2025) Impact of Dataset Diversity on Machine Learning Prediction of Reorganisation Energies in Organic Semiconductors. In: Scottish Computational Chemistry Symposium 2025, 2025-06-19 - 2025-06-19, University of Strathclyde.

This list was generated on Fri Aug 14 18:10:03 2026 BST.