Colorful illustration of spherical lipid nanoparticles.

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Digital illustration of coiled molecules assembled into larger constructs.

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The illustration depicts a scientific experiment involving X-rays and a copper catalyst. At the top of the image, a timeline in milliseconds (10 to 70) shows the sequence of reactions. Below the timeline, there are representations of molecular structures and annotations. The bottom part has a graph labeled “MODULATED VOLTAGE” showing a fluctuating voltage pattern marked by rectangular pulse shapes.
  • Abby Dernburg Elected Into National Academy of Sciences

    Abby Dernburg Elected Into National Academy of Sciences

    Abby Dernburg, a senior faculty scientist in the Biological Systems and Engineering (BSE) Division, has been elected into the National Academy of Sciences (NAS) in recognition of her distinguished and continuing achievements in meiosis research.

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  • Two Scientists Join Ranks of AAAS Fellows

    Two Scientists Join Ranks of AAAS Fellows

    Two senior scientists in the Biosciences Area, Jian-Hua Mao and Trent Northen, are newly named Fellows of the American Association for the Advancement of Science (AAAS).

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  • Cracking Sugarcane’s Genetic Code

    Cracking Sugarcane’s Genetic Code

    Scientists created a highly accurate reference genome for one of the most important modern crops and found a rare example of how genes confer disease resistance in plants. Exploring sugarcane’s genetic code could help researchers develop more resilient and productive crops, with implications for both sugar production and biofuels

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  • Commemorating Judy Campisi

    Commemorating Judy Campisi

    Judith (Judy) Campisi, a leader in the field of cell senescence and a researcher at Berkeley Lab for just over 30 years, died on January 19, 2024. She was 75.

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  • ML Opens New Doors in TBI Research

    ML Opens New Doors in TBI Research

    Applying machine learning capabilities developed at Berkeley Lab to an extensive dataset created by the TRACK-TBI collaboration led to a six-fold improvement in the precision with which TBI patient outcomes can be predicted.

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