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John M. Howard
John M. Howard
Adresse e-mail validée de terpmail.umd.edu
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Année
Machine learning for perovskites' reap-rest-recovery cycle
JM Howard, EM Tennyson, BRA Neves, MS Leite
Joule 3 (2), 325-337, 2019
742019
Machine learning roadmap for perovskite photovoltaics
M Srivastava, JM Howard, T Gong, M Rebello Sousa Dias, MS Leite
The Journal of Physical Chemistry Letters 12 (32), 7866-7877, 2021
592021
Humidity-induced photoluminescence hysteresis in variable Cs/Br ratio hybrid perovskites
JM Howard, EM Tennyson, S Barik, R Szostak, E Waks, MF Toney, ...
The Journal of Physical Chemistry Letters 9 (12), 3463-3469, 2018
582018
Mesoscale functional imaging of materials for photovoltaics
EM Tennyson, JM Howard, MS Leite
ACS Energy Letters 2 (8), 1825-1834, 2017
482017
Imaging metal halide perovskites material and properties at the nanoscale
JM Howard, R Lahoti, MS Leite
Advanced Energy Materials 10 (26), 1903161, 2020
272020
NIST Language Recognition Evaluation-Past and Future.
AF Martin, CS Greenberg, JM Howard, GR Doddington, JJ Godfrey
Odyssey, 2014
202014
Quantitative predictions of moisture-driven photoemission dynamics in metal halide perovskites via machine learning
JM Howard, Q Wang, M Srivastava, T Gong, E Lee, A Abate, MS Leite
The Journal of Physical Chemistry Letters 13 (9), 2254-2263, 2022
162022
Photovoltage tomography in polycrystalline solar cells
EM Tennyson, JA Frantz, JM Howard, WB Gunnarsson, JD Myers, ...
ACS Energy Letters 1 (5), 899-905, 2016
162016
The effects of incident photon energy on the time-dependent voltage response of lead halide perovskites
EM Tennyson, JM Howard, B Roose, JL Garrett, JN Munday, A Abate, ...
Chemistry of Materials 31 (21), 8969-8976, 2019
142019
Results of The 2015 NIST Language Recognition Evaluation.
H Zhao, D Bansé, GR Doddington, CS Greenberg, J Hernández-Cordero, ...
INTERSPEECH, 3206-3210, 2016
102016
Summary of the 2015 nist language recognition i-vector machine learning challenge
AN Tong, CS Greenberg, AF Martin, D Banse, JM Howard, ...
Audrey N. Tong, Craig S. Greenberg, Alvin F. Martin, Desire Banse, John M …, 2016
92016
Nist language recognition evaluation—plans for 2015
AF Martin, CS Greenberg, JM Howard, D Bansé, GR Doddington, ...
Sixteenth Annual Conference of the International Speech Communication …, 2015
92015
Process parameter effects on cellular structured materials using hollow glass spheres
J Park, JM Howard, A Edery, M DeMay, N Wereley
Materials and Manufacturing Processes 34 (9), 1026-1034, 2019
72019
Quantitative predictions of photo-emission dynamics in metal halide perovskites via machine learning
JM Howard, Q Wang, E Lee, R Lahoti, T Gong, M Srivastava, A Abate, ...
arXiv preprint arXiv:2010.03702, 2020
52020
Performance factor analysis for the 2012 NIST speaker recognition evaluation.
AF Martin, CS Greenberg, VM Stanford, JM Howard, GR Doddington, ...
INTERSPEECH, 1135-1138, 2014
42014
Bilayer glass foams with tunable energy absorption via localized void clusters
J Park, JM Howard, A Edery, M DeMay, N Wereley
Advanced Engineering Materials 23 (9), 2100105, 2021
32021
Effects of the New Testing Paradigm of the 2012 NIST Speaker Recognition Evaluation.
AF Martin, CS Greenberg, JM Howard, GR Doddington, JJ Godfrey, ...
Odyssey, 2014
32014
Tunable Energy Absorbing Property of Bilayer Amorphous Glass Foam via Dry Powder Printing
J Park, J Howard, A Edery, M DeMay, N Wereley
Materials 15 (24), 9080, 2022
22022
Analysis of the second phase of the 2013-2014 i-vector machine learning challenge.
D Bansé, GR Doddington, D Garcia-Romero, JJ Godfrey, CS Greenberg, ...
INTERSPEECH, 3041-3045, 2015
22015
Visco-Elastic Honeycomb Structures with Increased Energy Absorption and Shape Recovery Performance Using Buckling Initiators
CM Murray, M Mao, J Park, J Howard, NM Wereley
Polymers 15 (16), 3350, 2023
12023
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