Matthew S. Dyer

12 papers C 3Journal 9
YearRankTypeTitle / Venue / Authors
2025 C conf
Evolutionary Train-Test Split for Hierarchical Monte Carlo Ensemble.
BDCAT
Ziauddin Ursani, Dmytro Antypov, Katie Atkinson, Matthew S. Dyer, Matthew J. Rosseinsky, Sven Schewe, Ahsan Ahmad Ursani, Andrij Vasylenko
2025 J jnl
MACS: Multi-Agent Reinforcement Learning for Optimization of Crystal Structures.
CoRR
Elena Zamaraeva, Christopher M. Collins, George R. Darling, Matthew S. Dyer, Bei Peng, Rahul Savani, Dmytro Antypov, Vladimir V. Gusev, Judith Clymo, Paul G. Spirakis, Matthew J. Rosseinsky
2025 J jnl
Physics-informed diffusion models for extrapolating crystal structures beyond known motifs.
CoRR
Andrij Vasylenko, Federico Ottomano, Christopher M. Collins, Rahul Savani, Matthew S. Dyer, Matthew J. Rosseinsky
2025 J jnl
Probabilistic Isolation of Crystalline Inorganic Phases.
J. Chem. Inf. Model.
Daniel Ritchie, Michael W. Gaultois, Vladimir V. Gusev, Vitaliy Kurlin, Matthew J. Rosseinsky, Matthew S. Dyer
2024 J jnl
Assessing data-driven predictions of band gap and electrical conductivity for transparent conducting materials.
CoRR
Federico Ottomano, John Yannis Goulermas, Vladimir V. Gusev, Rahul Savani, Michael W. Gaultois, Troy D. Manning, Hai Lin, Teresa P. Manzanera, Emmeline G. Poole, Matthew S. Dyer, John B. Claridge, Jon Alaria, Luke M. Daniels, Su Varma, David Rimmer, Kevin Sanderson, Matthew J. Rosseinsky
2024 C conf
Hierarchical Supervised Monte Carlo Ensemble Learning.
ICMLA
Ziauddin Ursani, Dmytro Antypov, Katie Atkinson, Judith Clymo, Matthew S. Dyer, Matthew J. Rosseinsky, Sven Schewe, Andrij Vasylenko
2024 C conf
The Theory of Probabilistic Hierarchical Supervised Ensemble Learning.
ICMLA
Ziauddin Ursani, Dmytro Antypov, Katie Atkinson, Judith Clymo, Matthew S. Dyer, Matthew J. Rosseinsky, Sven Schewe, Andrij Vasylenko
2023 J jnl
First Order Methods for Geometric Optimization of Crystal Structures.
CoRR
Antonia Tsili, Matthew S. Dyer, Vladimir V. Gusev, Piotr Krysta, Rahul Savani
2023 J jnl
Optimality guarantees for crystal structure prediction.
Nat.
Vladimir V. Gusev, Duncan Adamson, Argyrios Deligkas, Dmytro Antypov, Christopher M. Collins, Piotr Krysta, Igor Potapov, George R. Darling, Matthew S. Dyer, Paul G. Spirakis, Matthew J. Rosseinsky
2022 J jnl
Element selection for functional materials discovery by integrated machine learning of atomic contributions to properties.
CoRR
Andrij Vasylenko, Dmytro Antypov, Vladimir V. Gusev, Michael W. Gaultois, Matthew S. Dyer, Matthew J. Rosseinsky
2008 J jnl
Multiscale theory for linear dynamic processes: Part 1. Foundations.
Comput. Chem. Eng.
George Stephanopoulos, Orhan Karsligil, Matthew S. Dyer
2008 J jnl
Multiscale theory for linear dynamic processes: Part 2. Multiscale model predictive control (MS-MPC).
Comput. Chem. Eng.
George Stephanopoulos, Orhan Karsligil, Matthew S. Dyer