Computation and theory

Scientists learn how to speed up materials simulations

Using machine learning, researchers have been able to complete cumbersome materials science calculations more than 40,000 times faster than normal.

New study uncovers model secrets of desalination membranes

Creating a uniform membrane density is crucial for maximizing the performance of polymer membranes for water desalination.

Nickel clusters attracted to surface imperfections on hydrogen catalyst

An inexpensive catalyst made from tiny clusters of nickel metal anchored to a 2D substrate is highly effective at extracting hydrogen from alcohols.

Kai Siegbahn prize 2021: the nominations are now open!

Hard machine learning can predict hard materials

A novel machine-learning model can accurately predict the hardness of new materials based solely on their chemical composition.

Stanford University Study - Top Materials Scientists

Topological quantum states found in magic-angle graphene

Researchers have discovered that the electrons in magic-angle twisted bilayer graphene can create 'topological quantum states'.

Glass forming by metallic mixtures becomes clearer

Researchers used computer simulations to model the effects of elemental composition on the glass-forming ability of metallic mixtures.

New metal alloy algorithm breaks through boundaries

Researchers have found a new way to predict the properties of metal alloys based on reactions at the boundaries between their crystalline grains.

Thermoelectric semiconductor goes against type with antimony doping

When the thermoelectric semiconductor tin monoselenide is doped with antimony, it switches between p-type and n-type as doping increases.