Ensemble forecasting. - Martin Leutbecher; Tim N. Palmer (J. Comput. Phys., 2008)

The Invariant Set Hypothesis: A New Geometric Framework for the Foundations of Quantum Theory and the Role Played by Gravity. - Tim N. Palmer (QPL@MFPS, 2009)

Neuronal noise as a physical resource for human cognition. - Tim N. Palmer; Michael O'Shea (CoRR, 2014)

The use of imprecise processing to improve accuracy in weather & climate prediction. - Peter D. Düben; Hugh McNamara; Tim N. Palmer (J. Comput. Phys., 2014)

Opportunities for energy efficient computing: a study of inexact general purpose processors for high-performance and big-data applications. - Peter D. Düben; Jeremy Schlachter; Parishkrati; Sreelatha Yenugula; John Augustine; Christian C. Enz; Krishna V. Palem; Tim N. Palmer (DATE, 2015)

Architectures and Precision Analysis for Modelling Atmospheric Variables with Chaotic Behaviour. - Francis P. Russell; Peter D. Düben; Xinyu Niu; Wayne Luk; Tim N. Palmer (FCCM, 2015)

Invariant Set Theory: Violating Measurement Independence without Fine Tuning, Conspiracy, Constraints on Free Will or Retrocausality. - Tim N. Palmer (QPL, 2015)

Solving difficult problems creatively: a role for energy optimised deterministic/stochastic hybrid computing. - Tim N. Palmer; Michael O'Shea (Frontiers Comput. Neurosci., 2015)

Modelling: Build imprecise supercomputers. - Tim N. Palmer (Nat., 2015)

Exploiting the chaotic behaviour of atmospheric models with reconfigurable architectures. - Francis P. Russell; Peter D. Düben; Xinyu Niu; Wayne Luk; Tim N. Palmer (Comput. Phys. Commun., 2017)

Experimental Non-Violation of the Bell Inequality. - Tim N. Palmer (Entropy, 2018)

Accelerating High-Resolution Weather Models with Deep-Learning Hardware. - Sam Hatfield; Matthew Chantry; Peter D. Düben; Tim N. Palmer (PASC, 2019)

Machine-Learned Preconditioners for Linear Solvers in Geophysical Fluid Flows. - Jan Ackmann; Peter D. Düben; Tim N. Palmer; Piotr K. Smolarkiewicz (CoRR, 2020)

Human Creativity and Consciousness: Unintended Consequences of the Brain's Extraordinary Energy Efficiency? - Tim N. Palmer (Entropy, 2020)

Mixed-precision for Linear Solvers in Global Geophysical Flows. - Jan Ackmann; Peter D. Düben; Tim N. Palmer; Piotr K. Smolarkiewicz (CoRR, 2021)

Compressing atmospheric data into its real information content. - Milan Klöwer; Miha Razinger; Juan J. Dominguez; Peter D. Düben; Tim N. Palmer (Nat. Comput. Sci., 2021)

A Generative Deep Learning Approach to Stochastic Downscaling of Precipitation Forecasts. - Lucy Harris; Andrew T. T. McRae; Matthew Chantry; Peter D. Düben; Tim N. Palmer (CoRR, 2022)