Posts tagged with "Engineering"

learning

Going deep: Lab employees get an introduction to world of machine learning, neural networks

Feb. 1, 2019 -  
Deep learning is one of the most popular and widely used machine learning methods due to its success with autonomous vehicles, speech recognition and image classification, to name a few emergent technologies. But what exactly is deep learning, and how can it best be applied to Lab projects?...
resin

3D printing method creates objects in one piece

Jan. 31, 2019 -  
It looks like something you might find aboard the Starship Enterprise. A projector beams a three-dimensional video into a container of photosensitive resin. The video plays while the container rotates for a few minutes — then the fluid drains, leaving behind a complete, fully formed 3D object...
pixels

Playing video games may help researchers find personalized medical treatment for sepsis

Dec. 18, 2018 -  
A deep learning approach originally designed to teach computers how to play video games better than humans could aid in developing personalized medical treatment for sepsis, a disease that causes about 300,000 deaths per year and for which there is no known cure. Lawrence Livermore National...
metamaterials

Lab develops metamaterials that change mechanical properties under magnetic fields

Dec. 7, 2018 -  
Lawrence Livermore National Laboratory ( LLNL ) researchers have introduced a new class of metamaterials that can nearly instantly respond and stiffen 3D-printed structures when exposed to a magnetic field, a development that could be applied to next-generation helmets, wearable armor and a host of...
hpc

Call for HPC for Energy Innovation proposals

Nov. 14, 2018 -  
The U.S. Department of Energy's (DOE) High Performance Computing for Energy Innovation ( HPC4EI ) Initiative today issued its first joint solicitation for the High Performance Computing for Manufacturing Program ( HPC4Mfg ) and the High Performance Computing for Materials Program ( HPC4Mtls ). The...
For article Research team achieves record performance for 3D-printed graphene aerogel supercapacitors

Research team achieves record performance for 3D-printed graphene aerogel supercapacitors

Nov. 2, 2018 -  
Researchers at Lawrence Livermore National Laboratory ( LLNL ) and the University of California, Santa Cruz ( UCSC ) have created 3D-printed supercapacitor electrodes capable of achieving record-breaking performance and overcoming conventional tradeoffs for supercapacitors in the process. In a...
run

DOE to issue joint solicitation for HPC programs

Oct. 24, 2018 -  
The U.S. Department of Energy's (DOE) High Performance Computing for Energy Innovation ( HPC4EI ) Initiative has announced it will issue its first joint solicitation in November for two of its pillar initiatives, the High Performance Computing for Manufacturing Program ( HPC4Mfg ) and the High...
For article HPC4Materials announces first awards

HPC4Materials announces first awards

Sept. 26, 2018 -  
The Department of Energy (DOE) today announced the first round of awardees for the new HPC4Materials ( HPC4Mtls ) Program, a public-private effort aimed at using high-performance computing to advance U.S. industry’s discovery, design and development of materials for severe environments. The nine...
For article Spack, a Lab-developed 'app store for supercomputers,' becoming standard-bearer

Spack, a Lab-developed 'app store for supercomputers,' becoming standard-bearer

Sept. 18, 2018 -  
Spack, a Lawrence Livermore National Laboratory-developed open source package manager optimized for high performance computing (HPC), is making waves throughout the HPC community, including internationally, as evidenced by a recent tour of European HPC facilities by the tool’s developers. Despite...
For article LLNL explores machine learning to prevent defects in metal 3D-printed parts in real time

LLNL explores machine learning to prevent defects in metal 3D-printed parts in real time

Sept. 13, 2018 -  
For years, Lawrence Livermore National Laboratory engineers and scientists have used an array of sensors and imaging techniques to analyze the physics and processes behind metal 3D printing in an ongoing effort to build higher quality metal parts the first time , every time. Now, researchers are...