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There is a critical need for electrification of transportation systems. The proposed technology enables the development of very high-power density permanent magnet motors, which when coupled to an integrated SiC drive allows for an overall specific power beyond 12 kW/kg. The proposed concept relies on the tight integration of a high-power density dual-rotor permanent magnet motor, high power densi ...

In situ detection of microbial activity in submerged soils and aquatic sediments can be labor intensive and technically difficult, especially in dynamic environments where data on microbial status is desired. Current approaches for estimating anaerobic microbial activity involve incubating soil/sediment samples. Sophisticated analytical techniques are currently used which are not convenient and so ...

The Exascale Computing Project is tasked to develop the next generation of high performance computing systems capable of computing at 50 to 100 times faster than current HPC systems. Computing at this extreme-scale will significantly enhance the value of materials modeling and simulation to basic materials research and engineering In particular, computing at the extreme scale will enable a higher ...

Understanding the genomic basis of economically important plants for growth time, crop yield, responses to drought and disease resistance is of critical importance to sustaining and improving food supplies for humans and livestock, as well as insuring sufficient raw material availability for industries that depend on plant materials, such as biofuel manufacture. Current computational methods for a ...

Achieving a systems-level understanding of science associated with climate change is a key topic within the DOE mission. Light absorbing particles are an important atmospheric constituent and have a direct impact on climate. They also impact air quality and health and human activities play a major role in their abundance and distribution. There is a critical need for improved observational capacit ...

As computational density for high-performance computing and big-data services continues to scale, performance scalability of next generation computing systems is becoming increasingly constrained by limitations in memory access, power dissipation and chip packaging. The processor-memory communication bottleneck, a major challenge in current multicore processors due to limited pin-out and power bud ...

Computer-aided Engineering software that apply the Finite Element Method to perform a multi-physics analysis have received widespread acceptance for traditional macro-scale material systems. Challenges persist in the modeling of complex coupled processes in environmental/thermal barrier coatings (E/TBCs) used to protect substrate material against the corrosive environment in the hot section parts ...

Statistical machine learning has had substantial impacts on many business areas, including finance, supply chain management, cyber security, bioengineering, and elsewhere – it is the core of companies including Google, FaceBook, TrueCar, and many others. However, extant tools for predictive analytics provide little or no insight into underlying processes. Hence, while machine learning has inargu ...

Tristructural isotropic (TRISO) fuel is a key component of advanced small modular nuclear fission reactors due to its inherent safety at high temperatures and irradiation levels and decreased proliferation risk relative to current reactor fuels. A more efficient cooling method for TRISO fuel compacts would increase heat transfer, allow for an increase in fuel density, and further improve accident ...

The Department of Energy’s Office of Science seeks to reduce cost and improve high energy physics particle and radiation detector sensitivity and manufacturability via the flexibility and reproducibility of additive manufacturing to produce complex detector components. Cosmic microwave background measurements characterize the temperature and polarization anisotropies of the universe. A critical ...