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Torrey J. Wagner
Researcher at Air Force Institute of Technology
Publications - 19
Citations - 144
Torrey J. Wagner is an academic researcher from Air Force Institute of Technology. The author has contributed to research in topics: Renewable energy & Logistic regression. The author has an hindex of 6, co-authored 18 publications receiving 99 citations. Previous affiliations of Torrey J. Wagner include Air Force Research Laboratory.
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Proceedings ArticleDOI
Fiber laser beam combining and power scaling progress: Air Force Research Laboratory Laser Division
TL;DR: In this article, the authors survey the recent literature and then focus on the results from the Laser Division, Directed Energy Directorate of the Air Force Research Laboratory (AFRL), which demonstrated a 32-channel coherent beamforming result using the phaselocking technique.
Proceedings ArticleDOI
Energy scaling of nanosecond gain-switched Cr2+:ZnSe lasers
Vladimir V. Fedorov,Vladimir V. Fedorov,Igor Moskalev,M. Mirov,S. B. Mirov,S. B. Mirov,Torrey J. Wagner,Matthew J. Bohn,Patrick A. Berry,Kenneth L. Schepler +9 more
TL;DR: In this paper, the authors reported record nanosecond output energies of gain-switched Cr:ZnSe lasers pumped by H 2 Raman shifted Nd:YAG laser pumping, achieving 3.1 mJ of output energy, 52% slope efficiency and 110 nm linewidth at a wavelength of 2.47 μm.
Journal ArticleDOI
Sustainability Assessment of Alternative Jet Fuel for the U.S. Department of Defense
TL;DR: In this paper, the feasibility of replacing DoD CONUS jet fuel with alternative jet fuel from domestic feedstocks and assess the cost, greenhouse gas (GHG) emissions, energy balance, land, water, and fertilizer impacts of nine alternative jetfuel pathways.
Journal ArticleDOI
Machine Learning Modeling of Horizontal Photovoltaics Using Weather and Location Data
Christil Pasion,Torrey J. Wagner,Clay Michael Koschnick,Steven J. Schuldt,Jada B. Williams,Kevin P. Hallinan +5 more
TL;DR: This research analyzed a variety of machine learning techniques to predict power output for horizontal solar panels using 14 months of data collected from 12 northern-hemisphere locations and found that the three most important variables for power prediction were ambient temperature, humidity, and cloud ceiling.
Journal ArticleDOI
Measurement and modeling of infrared nonlinear absorption coefficients and laser-induced damage thresholds in Ge and GaSb
Torrey J. Wagner,M. A. Bohn,Ronald A. Coutu,L. P. Gonzalez,J. M. Murray,Kenneth L. Schepler,Shekhar Guha +6 more
TL;DR: In this paper, the authors measured two-photon and free-carrier absorption coefficients for Ge and GaSb at 2.05 and 2.5 µm, respectively.