| 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 | 432 | 2020 |
| 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 | 350 | 2016 |
| Military applications of artificial intelligence FE Morgan, B Boudreaux, AJ Lohn, M Ashby, C Curriden, K Klima, ... Santa Monica: RAND Corporation, 2020 | 210 | 2020 |
| 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 | 121 | 2021 |
| How Might Artificial Intelligence Affect the Risk of Nuclear War? E Geist, AJ Lohn https://www.rand.org/pubs/perspectives/PE296.html, 2018 | 117* | 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 | 104 | 2013 |
| Isothermal switching and detailed filament evolution in memristive systems AJ Lohn, PR Mickel, CD James, MJ Marinella Advanced Materials 26 (26), 4486-4490, 2014 | 70* | 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 | 55 | 2013 |
| AI and compute: How much longer can computing power drive artificial intelligence progress A Lohn, M Musser Center for Security and Emerging Technology, 4-30, 2022 | 51 | 2022 |
| 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 | 51 | 2014 |
| What's the buzz? The city-scale impacts of drone delivery AJ Lohn | 49* | 2017 |
| 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 | 48 | 2014 |
| 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 | 42 | 2013 |
| Memristive switching: physical mechanisms and applications PR Mickel, AJ Lohn, MJ Marinella Modern Physics Letters B 28 (10), 1430003, 2014 | 38 | 2014 |
| Optical properties of indium phosphide nanowire ensembles at various temperatures AJ Lohn, T Onishi, NP Kobayashi Nanotechnology 21 (35), 355702, 2010 | 35 | 2010 |
| 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 | 32 | 2020 |
| Detection and characterization of multi-filament evolution during resistive switching PR Mickel, AJ Lohn, MJ Marinella Applied Physics Letters 105 (5), 2014 | 32 | 2014 |
| 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 | 30 | 2014 |
| A CMOS compatible, forming free TaOx ReRAM AJ Lohn, JE Stevens, PR Mickel, DR Hughart, MJ Marinella ECS Transactions 58 (5), 59, 2013 | 30 | 2013 |
| Toward trustworthy AI development: mechanisms for supporting verifiable claims (2020) M Brundage, S Avin, J Wang, H Belfield, G Krueger, G Hadfield, H Khlaaf, ... arXiv preprint arXiv:2004.07213, 2020 | 24 | 2020 |
Matthew J MarinellaArizona State UniversityVerified email at asu.edu
