Key Highlights
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A new theoretical study compares two laser techniques, an “optical centrifuge” and a standard laser pulse, for spinning molecules to high speeds when the spinning and vibrating motions of the molecule are strongly linked. This is crucial for controlling chemical reactions with light, as the traditional model of a rigidly spinning molecule fails under these intense conditions.
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Researchers have developed a method to physically reconfigure the internal structure of a promising solar cell material, bismuth ferrite, using a tiny mechanical probe, which in turn changes how the material converts light into electricity. This creates a “photovoltaic switch with a mechanical knob,” opening new ways to design adaptive and tunable electronic devices.
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A new machine learning model can predict which peptide sequences, the building blocks of proteins, will clump together and fail during chemical synthesis. This advance is important because it shifts the focus from the exact order of amino acids to their overall composition, helping chemists avoid problematic sequences and synthesize more useful peptides for medicine and research.
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Scientists are improving computer models to better understand how the local chemical environment around a catalyst—the substance that speeds up a reaction—affects its performance. This work is key to designing more efficient and selective catalysts for industrial processes, moving beyond simplified models to capture real-world complexity.
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