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Using novel machine learning techniques, a research team from the Department of Energy’s Oak Ridge National Laboratory is teaching electronic devices how to speak for themselves.
Using novel machine learning techniques, a research team from the Department of Energy’s Oak Ridge National Laboratory is teaching electronic devices how to speak for themselves.
Magnum Venus Products (MVP), in partnership with Oak Ridge National Laboratory (ORNL), recently celebrated the installation of the first commercially available medium/large-scale thermoset 3D printer at the Department of Energy’s Manufacturing
Oak Ridge National Laboratory today welcomed a second group of technology innovators to join Innovation Crossroads, the Southeast’s only entrepreneurial research and development program based at a U.S. Department of Energy national laboratory.
Oak Ridge National Laboratory has partnered with FCA US LLC and casting manufacturer Nemak to develop a new cast aluminum alloy for engine cylinder heads, which could lead to more fuel-efficient internal combustion engines.
Amy Moore has found that her pursuit of several degrees and certificates in a variety of subjects is serving her well as she uses her expertise in transportation planning, geographic information science, and information technology to develop intelligent
It’s been more than three decades since inventor Chuck Hull created stereolithography, a process that produces 3D objects by hardening a liquid resin with an ultraviolet laser beam.
On the surface, additively manufactured parts may seem like just a series of really small welds, but the minute details of exactly how you print a component play a significant role in its performance.
Additive manufacturing has many advantages over traditional manufacturing. It creates parts with essentially no waste. It produces complex designs as easily as simple ones.
A thermoplastic-based composite feedstock known as carbon fiber–ABS is the workhorse of polymer- composite 3D printing at DOE’s Manufacturing Demonstration Facility, located at ORNL.
Leveraging his expertise in image processing, sensors, and machine learning, Vincent Paquit is devising a control system for additive manufacturing to produce 3D-printed parts that function as well as conventionally produced objects.