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energy use of a building is associated with operating the building. Building owners also face pressure to improve safety, security, occupant comfort and health, and to make buildings responsive to a
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increasingly clear that Machine Learning/AI are having great impacts across a number of fields of physics. This research opportunity revolves around applying these techniques towards optimizing experimental
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their processes. Smart machine tools assess and predict their health and the performance of their processes in real time to optimize production quality and yield. Proposals are welcome to develop
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systems. This work will specifically focus on combining ML algorithms with classical data analysis and control techniques to develop robust in situ (i.e., in real-time, during the operating experiment
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; Community resilience; Decision making; Systems modeling; Engineering; Operations research; mathematical programming; optimization; systems analysis; risk analysis; statistics; hazards and disaster research
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. The NIST channel sounding measurement team specializes in the development and use of instrumentation in the 10s of GHz based on phased array antennas that is optimized to capture dynamically evolving
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catalysis; and the examination of reaction models used to optimize reaction efficiencies and pathways in chemical systems. A wide variety of diagnostic equipment is available including ultrasensitive cavity
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the field of flexible electronics. Developing an effective flexible electronic structure has its own challenges from mechanical compliance of the substrate to device performance. There is a delicate balance
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corrected for, the noise and drift can directly affect not only the initial calibration of qubits, but also the coherence times and, ultimately, fidelities of the quantum control and readout operations
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infrared spectroscopy, spectroscopic ellipsometry, contact angle measurements, and atomic force microscopy. Key aspects of this work involve examination and optimization of alternative functionalization