September 16, 2022

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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.