2019-2020 Assessment of the Army Research Laboratory (2021)
Chapter: Appendix D: Acronyms
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D
Suggested Citation:
"Appendix D: Acronyms." National Academies of Sciences, Engineering, and Medicine. 2021. 2019-2020 Assessment of the Army Research Laboratory. Washington, DC: The National Academies Press.
doi: 10.17226/26325.
D
Acronyms
| 1D | one-dimensional |
| 2D | two-dimensional |
| 2PA | two-photon absorption |
| 3D | three-dimensional |
| ABL | atmospheric boundary layer |
| ABLE | atmospheric boundary layer environment |
| ACT-R | adaptive control of thought—rational |
| ACT-RN | adaptive control of thought—rational neuro |
| AFC | Army Futures Command |
| AI | artificial intelligence |
| ALE | air launched effect |
| ALP | aeroelastic lumped parameter |
| ANL | Argonne National Laboratory |
| A-PNT | assured positioning, navigation, and timing |
| ARL | Army Research Laboratory |
| ARLTAB | Army Research Laboratory Technical Assessment Board |
| ARO | Army Research Office |
| AR/VR | augmented and virtual reality |
| ASIC | application-specific integrated circuit |
| BED | Battlefield Environments Division |
| C4ISR | command, control, communications, computers, intelligence, surveillance, and reconnaissance |
| Cal Tech | California Institute of Technology |
| CCDC | Combat Capabilities Development Command |
| CFD | computational fluid dynamics |
| CHIMERA | Cyber-Human Integrated Modeling and Experimentation Range Army |
| CISD | Computational and Information Sciences Directorate |
| CIWS | Corridor Integrated Weather System |
| CMF | Cyber Mission Force |
| CMU | Carnegie Mellon University |
| CNN | convolutional neural net |
| CPT | cyber protection team |
| CRA | Collaborative Research Alliance |
| CRADA | Cooperative Research and Development Agreement |
| CRC | common research configuration |
| CTA | Collaborative Technology Alliance |
Suggested Citation:
"Appendix D: Acronyms." National Academies of Sciences, Engineering, and Medicine. 2021. 2019-2020 Assessment of the Army Research Laboratory. Washington, DC: The National Academies Press.
doi: 10.17226/26325.
| CTA | concepts, trades, and analyses |
| CW | continuous wave |
| DARPA | Defense Advanced Research Projects Agency |
| Deep TAMER | Deep Training an Agent Manually via Evaluative Reinforcement |
| DL | deep learning |
| DoD | Department of Defense |
| DOE | Department of Energy |
| EEG | electroencephalogram |
| ENZ | epsilon-near-zero |
| EPA | Environmental Protection Agency |
| E-PIC | electronic/photonic integrated circuit |
| ERA | essential research area |
| EW | electronic warfare |
| FE | finite element |
| FEA | finite element analysis |
| FOM | Figure of Merit |
| FSR | free-spectral range |
| FPGA | field programmable gate array |
| FY | fiscal year |
| GMR | guided-mode resonance |
| GPS | global positioning system |
| HDR | high dynamic range |
| HFM | high-fidelity model |
| HID | human interest detection |
| HMS | hierarchical multiscale |
| HPC | high-performance computing |
| HRED | Human Research and Engineering Directorate |
| HS | human sciences |
| HYDRA | Hybrid Design and Analysis of Rotorcraft |
| IM | intelligent maneuver |
| INFORMS | Information for Mixed Squads Laboratory |
| IPN | interpenetrating network |
| IS | information sciences |
| ITO | indium tin oxide |
| LAB | Laboratory Assessments Board |
| LBM | lattice-Boltzmann method |
| LfD | Learning from Demonstration |
| LFM | low-fidelity model |
| LIB | lithium-ion battery |
| LWIR | long-wave infrared |
| MD | molecular dynamics |
| MDO | multi-domain operations |
| MEMS | microelectromechanical system |
Suggested Citation:
"Appendix D: Acronyms." National Academies of Sciences, Engineering, and Medicine. 2021. 2019-2020 Assessment of the Army Research Laboratory. Washington, DC: The National Academies Press.
doi: 10.17226/26325.
| ML | machine learning |
| MOUT | Military Operations in Urban Terrain |
| MSA | meteorological sensor array |
| MWIR | medium-wave infrared |
| NASA | National Aeronautics and Space Administration |
| NEEC | nuclear excitation by electron capture |
| NIST | National Institute of Standards and Technology |
| NRL | Naval Research Laboratory |
| NWP | numerical weather prediction |
| OER | oxygen evolution reaction |
| OPLAN | operational plan |
| PCM | phase change material |
| PI | principal investigator |
| PIC | photonic integrated circuit |
| PP | predictive processing |
| QIS | quantum information science |
| R&D | research and development |
| RDT&E | research, development, test, and evaluation |
| RF | radio frequency |
| RI | radio isotope |
| ROC | receiver operating characteristic |
| ROM | reduced order model |
| RSA | reverse saturable absorption |
| S&E | scientist and engineer |
| S&T | science and technology |
| SA | saturable absorber |
| SDR | standard dynamic range |
| SEDD | Sensors and Electron Devices Directorate |
| SiC | silicon carbide |
| SNL | Sandia National Laboratory |
| STRONG | strengthening teamwork for robust operations with novel groups |
| sUAS | small-unmanned aerial system |
| SWaP-C | size, weight, and power as well as cost |
| SWIR | short-wave infrared |
| TAMU | Texas A&M University |
| TPV | thermal photovoltaic |
| UAS | unmanned aerial system |
| UAV | unmanned aerial vehicle |
| VICTOR | versatile tactical power and propulsion |
| VHF | very high frequency |
| VTD | Vehicle Technology Directorate |
| VSTOL | vertical and/or short take-off and landing |
Suggested Citation:
"Appendix D: Acronyms." National Academies of Sciences, Engineering, and Medicine. 2021. 2019-2020 Assessment of the Army Research Laboratory. Washington, DC: The National Academies Press.
doi: 10.17226/26325.
| VTOL | vertical take-off and landing |
| WMRD | Weapons and Materials Research Directorate |
| WRF | weather research and forecasting |
| WSMR | White Sands Missile Range |
| YSZ | yttrium stabilized zirconia |
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