Science Machines

Computational science, #HPC & the DOE national laboratories. Managed by @krellinst. Mastodon: Banner:

[Science Machines @ScienceMachines]

Foundation models, the AI-type that includes LLMs, could help fight future infectious threats. @arvindr_ of @argonne and his team are building on COVID-19 success to better understand how viruses and bacteria evolve. https://t.co/jYUS4YbboN #HPC #INCITE

[Science Machines @ScienceMachines]

Superdiamond simulations on @OLCFGOV's Frontier are helping @USouthFlorida researchers study how this novel carbon structure assembles and informing @lasers_llnl experiments to study how carbon-rich planetary interiors form. https://t.co/NM113BSiKj #HPC #INCITE @Livermore_Lab

[Science Machines @ScienceMachines]

Sahay's quantum mechanics research started at @UCBerkeley with @doecsgf alumnus (2009-2013) @StorminNormYao, now also at @Harvard: https://t.co/Ksje4Pfqjk

[Science Machines @ScienceMachines]

Rahul Sahay of @Harvard is using #quantum behavior to understand matter's phases and develop strategies to create new ones in the laboratory. Read more about his @doecsgf-supported research: https://t.co/CPyN0CXU3J @argonne

[Science Machines @ScienceMachines]

Cosmic rays provide ways to study how galaxies evolved. Using #exascale computing and an #INCITE award researchers modeled large- and small-scale behavior and developed a new model that accounts for unexplained turbulence. https://t.co/lwCD6q0KML @OLCFGOV @argonne_lcf #HPC

[Science Machines @ScienceMachines]

Simulations to study new ways to catalyze hydrogen production could help with energy storage. @Harvard's Boris Kozinsky and his team are using machine learning to accelerate these complex calculations. https://t.co/YFngG2UtXD #HPC #INCITE @argonne_lcf @OLCFGOV

[HPCwire @HPCwire]

Argonne’s ATPESC 2025 Now Accepting Submissions, Apply by March 5
https://t.co/ApVJfuImZB #Argonne #HPC #ATPESC

[Science Machines @ScienceMachines]

Alex Ballow of @montanastate uses category theory, a form of universal mathematical language, to probe patterns in physics that could advance #quantum computing, condensed matter physics and more. https://t.co/6MQ2hlymmp @doecsgf @ORNL

[DOE CSGF @doecsgf]

Attention potential #DOECSGF applicants: Yesterday's webinar recording is now available at https://t.co/VH5KHeo0wP. Topics include program benefits, applicant eligibility, and Science/Engineering vs. Math/Computer Science Track options; plus insight into application components.

[Science in Parallel @scienceinparall]

New episode 🎙️with @anilananth discussing the math, science and challenges of #AI, the 2024 physics @NobelPrize and his book, Why Machines Learn. https://t.co/BXWAIO3GmY #HPC #AI

[Science Machines @ScienceMachines]

The human brain's trillions of connections remain largely uncharted. But an @argonne-@Harvard team is using advanced electron microscopy and #ALCF's hardware and machine learning tools to map neurons' links to better understand how they interact https://t.co/gUBdCUh8kH #HPC

[Science Machines @ScienceMachines]

Exploring cars ultimately led @zendejas_hugo to study turbulence using computational fluid dynamics at @Caltech and @Livermore_Lab. Read more about his @doecsgf research and mentoring's central place in his career. https://t.co/hs22D2oyp7 #HPC

[Randles Lab @RandlesLab]

If your life depended on it, would you want treatment options in hours or days? HarVI cuts planning time from 48 hours to just 74 minutes—helping doctors explore options faster. #HealthTech #AI #DigitalTwins

Read the paper for more: https://t.co/mYxToioBar

[Science Machines @ScienceMachines]

During the pandemic, @MARGARETSCHEUNG @PNNLab pivoted to modeling molecular mechanisms of disease transmission. Using a digital twin, she's grappling with complex biological data and finding new strategies to disrupt infections. https://t.co/VLkL9FbQLU #HPC @OLCFGOV @NERSC

[Science in Parallel @scienceinparall]

New 🎙️episode: Paulina Rodriguez of @GWtweets discusses her quest to become an authentic scientist and her applied math career focused on the credibility of computational models. Check out the whole episode: https://t.co/nKLh6cVXkH @doecsgf #HPC @SandiaLabs @US_FDA @SACNAS

[Science Machines @ScienceMachines]

During her @CUBoulder Ph.D., Rachel Robey used her computational skills to tame scale-based challenges in modeling wind-energy generation and climate modeling. Read more about her @doecsgf-supported #HPC research: https://t.co/herth5uBWJ

[Science Machines @ScienceMachines]

Luis Rangel DaCosta of @UCBerkeley used machine learning to speed up the analysis of high-resolution molecular images. The work led to Construction Zone, a software package that is "like computer-aided design, but for atoms." https://t.co/2l0kc7UAlE #HPC @doecsgf

[Science Machines @ScienceMachines]

Ariel Kellison of @Cornell combined her love of mathematics and computational physics to work on verification, building methods to ensure that software functions as expected in medicine, the military and more. https://t.co/uYEWLqLLTX @Cornell_CS @DavidBindel @doecsgf

[Science Machines @ScienceMachines]

Modeling maximum lift to improve aircraft involves understanding the complexities of eddies and airflow. @ZJWang1 of @UnivOfKansas has used an INCITE allocation at @OLCFGOV to tackle these challenging problems. https://t.co/AEBhPJjwkc #HPC @doescience

[Science Machines @ScienceMachines]

Former @doecsgf recipient Tod Pascal has pursued complex, fundamental questions about nanoscale materials and their energy applications. Now at @UCSanDiego his career has included stints at @LincolnUofPA, @Caltech, @kaistpr & @BerkeleyLab. https://t.co/3va0ERA2Ly #HPC #DOECSGF