Early antiviral response in the nose may determine the course of COVID-19
Cells taken from patients at the time of diagnosis who later developed severe COVID-19 show a muted antiviral response, study finds
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Ultralight material withstands supersonic microparticle impacts
The new carbon-based material could be a basis for lighter, tougher alternatives to Kevlar and steel.
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Uncovering the mysteries of milk
PhD student Sarah Nyquist applies computational methods to understudied areas of reproductive health, such as the cellular composition of breast milk.
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Speeding up clinical trials by making drug production local
Professor Tim Jamison’s company Snapdragon Chemistry helps turn the latest innovations in chemistry into impactful drugs.
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Fine-tuning new materials for energy devices
First look at atomic structure reveals path forward
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Graduate Student Spotlight: Yifeng Qi
Chemistry Graduate Student Yifeng Qi describes his research and answers 20 random questions as part of the Graduate Student Spotlight series.
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Large collaboration creates cell atlas of COVID-19 pathology
Single-cell analysis of autopsy samples from COVID-19 patients shows how the lungs repeatedly tried, and failed, to repair themselves.
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Synthetic mucus can mimic the real thing
An MIT team has created polymers that replicate the structure of mucins, the molecules that give mucus its unique antimicrobial properties.
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Cooling homes without warming the planet
The startup Transaera is using a class of materials, advanced by Professor Mircea Dinca, to create a more energy-efficient air conditioner.
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Design could enable longer lasting, more powerful lithium batteries
Use of a novel electrolyte could allow advanced metal electrodes and higher voltages, boosting capacity and cycle life.
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Chemists gain new insights into the behavior of water in an influenza virus channel
Research on how water behaves in a proton channel provides possible new avenues for flu treatment.
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Found in space: Complex carbon-based molecules
Discovery may offer clues to carbon’s role in planet and star formation.
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Faster drug discovery through machine learning
New technique speeds up calculations of drug molecules’ binding affinity to proteins.
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