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Materials Science

Self-healing liquid brings new life to battery alternative
collection of assorted batteries facing upward

Self-healing liquid brings new life to battery alternative

In Penn engineers’ new anode design, gallium repeatedly melts and solidifies, “healing” the cracks that would otherwise gradually decrease the battery’s ability to hold a charge.

Penn Today Staff

Engineers solve the paradox of why tissue gets stiffer when compressed
microscopic tissue

Engineers solve the paradox of why tissue gets stiffer when compressed

Tissue gets stiffer when it’s compressed. That stiffening response is a long-standing biomedical paradox, as common sense dictates that when you push the ends of a string together, it loosens tension, rather than increasing it. New research explains the mechanical interplay between that fiber network and the cells it contains.

Penn Today Staff

New topological insulator can reroute photonic ‘traffic’ on the fly
Abstract background with circuit.

New topological insulator can reroute photonic ‘traffic’ on the fly

Penn researchers, who first discovered topological insulators in 2005, have shown, for the first time, a way for a topological insulator to make use of its entire footprint without wasted space throughout the material’s interior.

Penn Today Staff

A ‘quantum leap’ for quantum information science
a group of 40 people posing on a staircase

Experts from external institutions and members of the Penn community joined together for two days of lively discussions about the future of room temperature quantum logic using atomically-thin materials for NSF’s Enabling Quantum Leap symposium, which was held at the Singh center (Image: Felice Macera).

A ‘quantum leap’ for quantum information science

By bringing together experts across campus and across disciplines, Penn is poised to lead ongoing efforts towards developing quantum applications using atomically-thin materials.

Erica K. Brockmeier

Applying machine learning to materials science
Rendering of 2D graphene molecules

Applying machine learning to materials science

Machine learning and artificial intelligence are applied to an increasing number of tasks, But using machine learning in materials science, which attempts to design and make materials for use in future technologies, has proven to be more difficult.

Penn Today Staff

Making complex 3-D surfaces with 2-D sheets
faces

Making complex 3-D surfaces with 2-D sheets

Using liquid crystal elastomer, researchers are able to transform 2-dimensional rubber-like sheets into malleable, three-dimensional shapes, with a precise amount of control for various shape sequences.

Ali Sundermier

Paving the way for safer smaller batteries and fuel cells
3d model

The researchers’ new structure self-assembles into hairpin shapes, resulting in acid-lined channels that allow for efficient transport of protons across the electrolyte.

Paving the way for safer smaller batteries and fuel cells

A new solid polymer electrolyte may be the key to making energy storage devices like lithium-ion and sodium-ion batteries more efficient.

Evan Lerner

An innovative approach to better energy storage
self assembly

Atomically thin nanosheets stand up to store more energy. Image credit: Ella Maru Studio

An innovative approach to better energy storage

A Penn/Drexel research team has engineered a way to manipulate nanomaterials to stand up vertically on a scale that has potential for industrial applications.

Ali Sundermier

Researchers show that cells’ perception of stiffness is a matter of time
Cell Stiffness

A cell can spread out more on a stiffer surface, making it easier for it to move, but the stiffness of its natural biological environment also changes in response. More realistic models of that interplay are necessary.

Researchers show that cells’ perception of stiffness is a matter of time

The relative stiffness of a cell’s environment is known to have a large effect on that cell’s behavior, including how well the cell can stick or move. Now, a new study by University of Pennsylvania researchers demonstrates the role timing plays in how cells perceive this stiffness.