Matthew S. Dyer

University of Liverpool — United Kingdom

Materials Science · Physical Sciences

37h-index6.0kcitations319works2.62yr avg
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Research Topics

Crystallization and Solubility Studies(110), X-ray Diffraction in Crystallography(105), Machine Learning in Materials Science(37), Advanced Battery Materials and Technologies(25), Advancements in Battery Materials(23)

Publications318 total

Protocol for generating new patterns using Monte Carlo ensemble of hierarchical models
2025
Probabilistic Isolation of Crystalline Inorganic Phases
Journal of Chemical Information and Modeling·2025Open Access
Evolutionary Train-Test Split for Hierarchical Monte Carlo Ensemble
2025Open Access
Unveiling Hydrogen Coverage on Ru Nanoparticles Through Modeling and Experiments
Advanced Materials·2025
Domain Independent XAI for Material Science
2025
Control of Magnetism via <i>B</i>-Site Order and Disorder in Y<sub>2</sub>NiTiO<sub>6</sub> Perovskite
Inorganic Chemistry·2025Open Access
High Rate Capability and Cycling Stability in Multi‐Domain Nanocomposite LiNi <sub>1–</sub> <i> <sub>x</sub> </i> Ti <sub>3</sub> <i> <sub>x</sub> </i> <sub>/4</sub> O <sub>2</sub> Positive Electrodes
Advanced Materials·2025· 1 citedOpen Access
Topology Augmented with Geometry in the Assembly of Structural Databases: Kagome Intermetallics
Advanced Science·2025Open Access
Advancing intercalation strategies in layered hybrid perovskites by bringing together synthesis and simulations
Nature Communications·2025· 1 citedOpen Access
MACS: Multi-Agent Reinforcement Learning for Optimization of Crystal Structures
arXiv (Cornell University)·2025Open Access
649 Paediatric Bicycle Friction Burns: A Case Series and Algorithm for Treatment
British journal of surgery·2025Open Access
Classification and statistical analysis of structural disorder in crystalline materials
Journal of Applied Crystallography·2025· 3 citedOpen Access
Discovery of Crystalline Inorganic Solids in the Digital Age
Accounts of Chemical Research·2025· 2 citedOpen Access
Self‐Poled Halide Perovskite Ruddlesden‐Popper Ferroelectric‐Photovoltaic Semiconductor Thin Films and Their Energy Harvesting Properties
Advanced Functional Materials·2025· 8 citedOpen Access
Digital features of chemical elements extracted from local geometries in crystal structures
Digital Discovery·2025· 1 citedOpen Access
Assessing data-driven predictions of band gap and electrical conductivity for transparent conducting materials
Digital Discovery·2025· 1 citedOpen Access
Enhanced performance in transparent conducting materials at the interface of a wide band gap semiconductor and a correlated metal
Materials Horizons·2025· 1 citedOpen Access
Discovering synthesis targets: general discussion
Faraday Discussions·2024
The Theory of Probabilistic Hierarchical Supervised Ensemble Learning
2024· 3 cited
Hierarchical Supervised Monte Carlo Ensemble Learning
2024· 2 cited
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Frequent Co-authors

Matthew J. Rosseinsky(33), John B. Claridge(23), Michael J. Pitcher(15), Mats Persson(12), Marco Zanella(12), Troy D. Manning(11), Jonathan Alaria(10), Dmytro Antypov(9), George R. Darling(8), Luke M. Daniels(8), Frédéric Blanc(7), Rasmita Raval(7), Christopher M. Collins(7), George F. S. Whitehead(6), Michael W. Gaultois(6), Laurence J. Hardwick(5), Alexandros P. Katsoulidis(4), Quinn Gibson(4), Ben Slater(4), Furio Corà(4)