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Simulation-led discovery of porous non-metal organic frameworks for energy applications

Simulation-led discovery of porous non-metal organic frameworks for energy applications

by Thomas Durrant | Apr 22, 2025 | 2025, MCC Case Study

Designing crystalline solids with specific functionalities is a challenge due to the complexity of predicting how molecules will assemble in the solid state. Traditional methods for discovering new functional materials rely heavily on trial and error, which is...
Thermoelectric transport in molecular crystals driven by gradients of thermal electronic disorder

Thermoelectric transport in molecular crystals driven by gradients of thermal electronic disorder

by Thomas Durrant | Apr 22, 2025 | 2025, MCC Case Study

In this work, MCC researchers develop a quantum dynamical simulation approach revealing in atomistic detail how the charge carrier wavefunction moves along a temperature gradient in an organic molecular crystal resulting in thermoelectric charge transport....
Machine learning the electric field response of condensed phase systems using perturbed neural network potentials

Machine learning the electric field response of condensed phase systems using perturbed neural network potentials

by Thomas Durrant | Apr 22, 2025 | 2025, MCC Case Study

In this work, MCC researchers present a machine learning method that enables molecular dynamics simulations under finite electric fields at length and time scales previously unattainable with traditional first-principles approaches. Using ARCHER2 they demonstrate its...
Lithium-rich oxides and oxyfluorides for electrochemical energy storage

Lithium-rich oxides and oxyfluorides for electrochemical energy storage

by Thomas Durrant | Apr 22, 2025 | 2025, MCC Case Study

Lithium-rich oxides and oxyfluorides are an attractive class of materials for next-generation cathodes for lithium-ion batteries, due to their high theoretical energy density, low cost and potential to be composed of Earth-abundant elements. These cathode materials...
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