Today at Berkeley Lab

Light-Emitting Nanoparticles Could Provide Safer Way to Image Living Cells

A research team has demonstrated how light-emitting nanoparticles, developed at Berkeley Lab, can be used to see deep in living tissue. Researchers hope they can be made to attach to specific components of cells to serve in an advanced imaging system that can pinpoint even single cancer cells. More>

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Foundry User Meeting to Impact Cafeteria Seating and Parking in H-2 Lot

The Molecular Foundry User Meeting on Aug. 15 and 16 will require the closure of the H-2 parking lot (next to Building 70) starting at 5 p.m. on Aug. 14 through Aug. 16. Carpool parking will be moved to the H-1 lot. The cafeteria will operate as usual, but tables in the dining hall will be cleared starting 2 p.m. on Aug. 15.

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Building 67 Update

Portions of Building 67 (Molecular Foundry) were reopened in stages on Thursday. Aug. 9, as Foundry and Lab EHS teams performed walkthrough inspections to identify potential remaining hazards. Water damage was found to be minimal. As of 4 p.m. Thursday, Aug. 9, Building 67 had resumed normal operations except for restrictions in specific labs and offices. More>

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Scientists ‘Squeeze’ Nanocrystals Into a Solid-Like State – Then Reverse the Process

A team led by scientists at Berkeley Lab found a way to make a liquid-like state behave more like a solid – then reverse it. A droplet of a liquid containing iron oxide nanocrystals, put into an oily liquid containing tiny polymer strands, results in a tiny tug of war on nanoparticles at the intersection of the liquids. More>

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New Competition for MOFs: Scientists Make Stronger COFs

Hollow molecular structures known as COFs (covalent organic frameworks) suffer from an inherent problem: It’s difficult to keep a network of COFs connected in harsh chemical environments. Now, a Berkeley Lab team has used a chemical process discovered decades ago to make the linkages between COFs much more sturdy, and to give the COFs new characteristics that could expand their applications. More>

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Splitting Water: Nanoscale Imaging Yields Key Insights

Researchers Johanna Eichhorn and Francesca Toma of Chemical Sciences, working with scientists at the Molecular Foundry, have pioneered a technique that uses nanoscale imaging to understand how local, nanoscale properties can affect a material’s macroscopic performance, allowing them to map the current at every point of a photoelectrochemical material for use in an artificial photosynthesis system. More>

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Registration Open for August 15-16 Molecular Foundry Annual User Meeting

Registration and poster abstract submission are open for the Molecular Foundry User Meeting on August 15-16. Events include keynote addresses from Carolyn Bertozzi (Stanford University) and David Awschalom (University of Chicago), a poster session, and symposia on topics including quantum information science, rational design of photo-electromechanical energy materials, multimodal in situ characterization and others. More>

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Berkeley Lab User Facilities Prominent in SSURF Annual Meeting

Representatives from the Lab’s five national user facilities attended the Society for Science at User Research Facilities (SSURF) Annual Meeting in late June. JGI Director Nigel Mouncey presented, “How Facilities Can Partner With Industry to Strengthen the Scientific Infrastructure.” The Molecular Foundry’s Alison Hatt, who also serves on the SSURF Board of Directors, moderated a session. More>

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Foundry’s Paul Ashby to Speak at 34th Annual MPI Workshop Next Week

Paul Ashby of the Molecular Foundry will lead a workshop on developing image processing algorithms for an atomic force microscopy scanner at the 2018 Mathematical Problems in Industry Workshop to be held June 25-29 at the Claremont Center for the Mathematical Sciences. The annual workshop attracts leading applied mathematicians, scientists, and researchers from academia, industry, and national laboratories. More>

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Berkeley Lab Researchers Use Machine Learning to Search Science Data

A team of researchers from Berkeley Lab’s Computing Sciences Area and UC Berkeley are developing innovative machine learning tools to pull contextual information from scientific datasets and automatically generate metadata tags for each file. Scientists can then search these files via Science Search, a web-based search engine for scientific data that the Berkeley team is building. More>

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