September 16, 2022

The Building Blocks for Exploring New Exotic States of Matter

Combining synthesis, characterization, and theory confirmed the exotic properties and structure of a new intrinsic ferromagnetic topological material.

September 12, 2022

Breakthrough Reported in Machine Learning-Enhanced Quantum Chemistry

Scientists develop a new learning method that incorporates quantum chemistry descriptions with conventional machine learning to predict the properties of biochemical molecules.

September 1, 2022

Uncovering the Atomic Mechanism Underpinning Heat Transport in Thermoelectric Materials

Neutrons reveal remarkable atomic behavior in thermoelectric materials for more efficient conversion of heat into electricity.

August 25, 2022

Scientists Take Control of Magnetism at the Microscopic Level

Studies of the nanostructure of a chiral magnet provides insights on controlling magnetic properties for applications in computers and other electronics.

August 23, 2022

Tiny Chip-Based Device Performs Ultrafast X-Ray Manipulation

New optics-on-a-chip device paves the way to helping characterize fast chemical, material, and biological processes.

August 18, 2022

Real-Time Evaluation of Residual Strain Improves 3-D Printed Metal Parts

Neutron scattering monitors structures during post-production heat treatment to validate production models.

August 16, 2022

Superatomic Magnetic Cluster Opens the Door to New Nanomaterials

Unusual filling of different sub-shells due to quantum confinement leads to a stable superatom that is also highly magnetic.

August 11, 2022

Excitons Need Space to Separate: Free Carrier Production in Organic Solar Cells

Short and long-range electron transfer compete to determine free-charge yield in organic semiconductors.

August 9, 2022

Understanding the Secrets of Photosynthesis in the Shade

Researchers discover key details of how to drive photosynthesis in the shade by studying far-red light acclimation in cyanobacteria.

August 4, 2022

Machine Learning Reveals Hidden Components of X-Ray Pulses

Neural networks determine the amplitude and phase of X-ray pulses, enabling new, high-resolution quantum studies.