Energy Efficiency
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Figure 1: Contact wear in an electromechanical relay
Developed manufacturing equipment for amorphous ribbon.
Sophia and Richard Lunt's step-by-step approach has revealed a new way to detect and attack cancer cells using technology traditionally reserved for solar power.
Jefferson Lab's Ari Deibert Palczewski has been awarded a DOE Early Career Research Program grant to make a better theoretical model of accelerator preparation and performance.
The hydrogen storage and release capacity of HB sheets is exceptionally high due to their two-dimensional nature and unique electronic band structure.
Congcong Wu, associate research professor at Penn State, works with materials that can be inserted into next generation solar cells to improve their efficiency. Perovskite solar cells are an area of intense research due to their potential to offer a more efficient and less expensive alternative to traditional silicon-based solar technology.
Discrete element method (DEM) computer models have been developed for describing biomass transport through a compression feed screw. This image shows mathematical simulation of biomass particles in feed screw at steady state.
Researchers at ORNL's Center for Nanophase Materials Sciences demonstrated the first example of capacitance in a lipid-based biomimetic membrane, opening nondigital routes to advanced, brain-like computation.
Hydrogen gas is a massively important industrial chemical for making fuel and fertilizer, and a clean, high-energy-content molecule that can be used in fuel cells or to store energy generated by variable power sources like solar and wind.
A researcher produces a photovoltaic cell in ASU's QESST University Research Center. QESST is funded by the U.S. National Science Foundation and the Department of Energy. Photo by Marco-Alexis Chaira, Arizona State University.
A special Nature Nanotechnology issue celebraes 15 years since the Nobel Prize-winning "ground-breaking experiments on graphene."
The structure of the proposed device, showing how the generated holes (h+) are used to facilitate thiol oxidation. The measured current increases dramatically under illumination and application of a slight potential.
(From left to right) Brookhaven computational scientist Shinjae Yoo (principal investigator), Brookhaven physicist Chao Zhang, and Stony Brook University quantum information theorist Tzu-Chieh Wei are developing deep learning techniques to efficiently handle sparse data using quantum computer architectures. Data sparsity is common in high-energy physics experiments.
Amazon CEO Jeff Bezos
