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Computation CHANGE TOPIC

Computation and theory news

Researchers have discovered a halide ion conductor that could dramatically improve the efficiency and lifespan of solid-state sodium-ion batteries.

By fabricating raised squares on the surface of an antiferromagnetic crystal, researchers have developed a novel data storage medium.

Bismuth vanadate electrodes that contain more bismuth on their surface generate higher amounts of electrical current from sunlight for water splitting.

For the first time, researchers have used advanced transmission electron microscopy techniques to see mesocrystals form in solution in real time.

Quantum Information and Deep Learning for Turbulent Combustion Modeling & Simulation

Scientists have produced the first 2D silicon-germanium alloys and demonstrated an easy way to fine-tune their electronic properties.

Researchers predict that shining circularly polarized laser light on topological insulators can reveal information about their electrical properties.

Researchers have observed superconductivity in a sandwich of three graphene sheets, where the middle layer is twisted at a specific 'magic' angle.

Professor Hongjin Fan announced as new Editor-in-Chief of Materials Today Energy.

Experiments and simulations have revealed how 2D boron nitride can transform into its ultra-hard, diamond phase at room temperature.

Squeezing a promising perovskite material in a diamond anvil cell produces a so-called 'black' phase that's stable enough for solar power applications.

A new model has revealed that the strength of carbon nanotube fibers depends on the length of the nanotubes and the friction between them.

Researchers have observed metallic line defects in a perovskite crystal, which offer a novel way to create materials that are transparent and conductive.

By enhancing an algorithm based on the nesting habits of cuckoo birds, scientists have greatly reduced the search time for new high-tech alloys.

By combining low-fidelity and high-fidelity data, researchers have developed a new machine-learning method to predict the properties of materials.

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Jul ’21

Partnering with the Chinese Failure Analysis Institution (CFAI) of the Chinese Mechanical Engineering Society (CMES)