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Andrew Lohn
Andrew Lohn
Senior Fellow, CSET, Georgetown University
Verified email at georgetown.edu
Title
Cited by
Cited by
Year
Toward trustworthy AI development: mechanisms for supporting verifiable claims
M Brundage, S Avin, J Wang, H Belfield, G Krueger, G Hadfield, H Khlaaf, ...
arXiv preprint arXiv:2004.07213, 2020
3182020
High‐speed and low‐energy nitride memristors
BJ Choi, AC Torrezan, JP Strachan, PG Kotula, AJ Lohn, MJ Marinella, ...
Advanced Functional Materials 26 (29), 5290-5296, 2016
3112016
Military applications of artificial intelligence
FE Morgan, B Boudreaux, AJ Lohn, M Ashby, C Curriden, K Klima, ...
Santa Monica: RAND Corporation, 2020
1392020
How Might Artificial Intelligence Affect the Risk of Nuclear War?
E Geist, AJ Lohn
https://www.rand.org/pubs/perspectives/PE296.html, 2018
103*2018
A physical model of switching dynamics in tantalum oxide memristive devices
PR Mickel, AJ Lohn, B Joon Choi, J Joshua Yang, MX Zhang, ...
Applied Physics Letters 102 (22), 2013
1002013
Truth, lies, and automation: How language models could change disinformation
B Buchanan, A Lohn, M Musser, K Sedova
Center for Security and Emerging Technology, 2021
752021
Isothermal switching and detailed filament evolution in memristive systems
AJ Lohn, PR Mickel, CD James, MJ Marinella
Advanced Materials 26 (26), 4486-4490, 2014
68*2014
A Comparison of the Radiation Response of and Memristors
DR Hughart, AJ Lohn, PR Mickel, SM Dalton, PE Dodd, MR Shaneyfelt, ...
IEEE Transactions on Nuclear Science 60 (6), 4512-4519, 2013
512013
Reactive sputtering of substoichiometric Ta2Ox for resistive memory applications
JE Stevens, AJ Lohn, SA Decker, BL Doyle, PR Mickel, MJ Marinella
Journal of Vacuum Science & Technology A 32 (2), 2014
472014
Evaluating tantalum oxide stoichiometry and oxidation states for optimal memristor performance
MT Brumbach, PR Mickel, AJ Lohn, AJ Mirabal, MA Kalan, JE Stevens, ...
Journal of Vacuum Science & Technology A 32 (5), 2014
462014
What's the buzz? The city-scale impacts of drone delivery
AJ Lohn
45*2017
Optimizing TaOx memristor performance and consistency within the reactive sputtering “forbidden region”
AJ Lohn, JE Stevens, PR Mickel, MJ Marinella
Applied Physics Letters 103 (6), 2013
422013
Memristive switching: physical mechanisms and applications
PR Mickel, AJ Lohn, MJ Marinella
Modern Physics Letters B 28 (10), 1430003, 2014
372014
Optical properties of indium phosphide nanowire ensembles at various temperatures
AJ Lohn, T Onishi, NP Kobayashi
Nanotechnology 21 (35), 355702, 2010
322010
AI and compute: How much longer can computing power drive artificial intelligence progress
A Lohn, M Musser
Center for Securty and Emerging Technology, 2022
292022
Analytical estimations for thermal crosstalk, retention, and scaling limits in filamentary resistive memory
AJ Lohn, PR Mickel, MJ Marinella
Journal of Applied Physics 115 (23), 2014
292014
Detection and characterization of multi-filament evolution during resistive switching
PR Mickel, AJ Lohn, MJ Marinella
Applied Physics Letters 105 (5), 2014
282014
A CMOS compatible, forming free TaOx ReRAM
AJ Lohn, JE Stevens, PR Mickel, DR Hughart, MJ Marinella
ECS Transactions 58 (5), 59, 2013
272013
Evolutional transformation of copper oxide nanowires to copper nanowires by a reduction technique
JW Han, A Lohn, NP Kobayashi, M Meyyappan
Materials Express 1 (2), 176-180, 2011
212011
Air Dominance Through Machine Learning
LA Zhang, J Xu, D Gold, J Hagen, AK Kochhar, AJ Lohn, OA Osoba
Santa Monica, CA: RAND Corporation, 2020
202020
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