Cracking the Code: Using AI to Solve Difficult-to-Map Proteins

Graphic showing a timeline of progress in protein design from 2010 to 2024. In 2010, labeled “Impossible,” a small chemical structure is shown. In 2012, labeled “Limited,” a simple ribbon-like protein fragment appears. In 2017, labeled “Possible,” a more complex folded protein structure is shown with scissors icons indicating editable segments. In 2024, labeled “Practical,” a large, detailed multi-part protein complex is displayed. The layout visually conveys increasing capability and complexity over time.

AI for Science, Energy, and Security: Supporting DOE's Genesis Mission

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At Lawrence Berkeley National Laboratory, we are expanding the frontiers of knowledge and delivering solutions for science and humankind.

Berkeley Lab’s innovative research and technologies drive real-world impact, transforming industries and improving lives. Explore breakthroughs that are shaping the future and delivering solutions for energy.

 Bruno La Fontaine, Director of the Center for X-ray Optics (CXRO), speaks on how the CXRO supports the microchip industry. Portrait of Katie Klymko, person with brown hair put into a braid wearing a grey top, smiling. Headshot of Eva Schill.

Thermodynamic Computing Advances with Design and Training

A computer processor CPU overheating and smokes around on computer motherboard, blue logic board with microprocessor.

Two Berkeley Lab Scientists Elected to the National Academy of Engineering

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New Electron Microscopy Technique Reveals Atomic Structures From Nanocrystals Once Considered Unsolvable

Two researchers adjusting the controls of a complex imaging instrument.