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Researchers have demonstrated on computer a novel color-coding system for getting DNA to self-assemble into desired nanostructures.
Researchers have uncovered the atomic mechanism that makes tin-based thermoelectric materials incredibly efficient at high temperatures.
Adding elliptical holes to elastic materials can enhance their efficiency at converting elastic energy to kinetic energy for extreme velocity movements.
A novel artificial neural network can predict the degree of water repulsion and protein adsorption by ultra-thin organic materials.
For the first time, researchers have developed a way to measure the individual solid-like and liquid-like behaviors of soft materials separately.
By combining computational modeling with experimental data, researchers have developed a novel approach for tracking ions within a 2D material.
A novel mathematical procedure can reduce the computational cost of modelling quantum materials via the quantum Monte Carlo method.
Researchers have found that cooling graphene while it is attached to a flat surface will cause it to buckle, altering its electronic properties.
Researchers have developed a method for predicting the interaction between layers of 2D materials such as graphene in a stack.
Researchers have developed a way to induce large zeolite catalyst particles to behave like nanoparticles by growing fins on their surfaces.
Adding a small amount of manganese to 2D molybdenum disulfide improves its sensitivity as a dopamine detector by many orders of magnitude.
By studying shaving with a scanning electron microscope, engineers have determined how a razor blade can be damaged as it cuts human hair.
Researchers have determined exactly how some sorbent materials capture and release carbon dioxide from the atmosphere.
We are excited to announce that Elsevier in collaboration with SPIE, titled Photonic Materials and Applications.
Register for a free webinar presented by Prof Jeffrey C. Grossman, MIT.