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Computation and theory news, November 2020

Researchers have developed a simplified modelling method for calculating the attractive forces that cause nanoparticles to self-assemble.

Researchers have used graphene to help analyze the behavior of strontium titanium oxide, a platform material for memristor research.

Computer simulations and X-ray analysis have uncovered new findings on the role of ionic interactions at the interface between graphene and water.

framework evaluates how a single nanowire grows and effects of different growth factors

Researchers have developed a new computational approach, based on Bayesian optimization, to accelerate the design of materials.

Researchers have discovered that adding potassium ions to the electrolyte in lithium-metal batteries can prevent the growth of dendrites.

Thursday, Nov. 19, 9am Boston, 2pm London, 3pm Berlin, 6am San Francisco, Honolulu 4am

Theoretical research has revealed that applying pressure to a tiny spot on layers of graphene could help to turn them into 2D diamond, or diamane.

Researchers have found that a layered 2D perovskite is adept at storing the valley states of electrons, making it potentially ideal for valleytronics.

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A 3D model created by AI helped researchers to understand the formation of dislocations in complex polycrystalline materials.

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Using various analytical techniques, researchers have established how hydrogen bonding plays a key role in the performance of perovskite solar cells.

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Scientists have synthesized a novel form of titanium nitride, called titanic nitride, which has promising mechanical and optoelectronic properties.

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Scientists have uncovered the mechanisms that cause a mixture of cornstarch and water known as ‘oobleck’ to switch between a liquid and a solid.