A Gilad Kusne
A Gilad Kusne
Materials Measurement & Science Division, NIST & Materials Science & Engineering, UMD
Bestätigte E-Mail-Adresse bei umd.edu
Titel
Zitiert von
Zitiert von
Jahr
Machine learning in materials science: Recent progress and emerging applications
T Mueller, AG Kusne, R Ramprasad
Reviews in Computational Chemistry 29, 186-273, 2016
282*2016
Volatile organic compound detection using nanostructured copolymers
B Li, G Sauvé, MC Iovu, M Jeffries-El, R Zhang, J Cooper, S Santhanam, ...
Nano Letters 6 (8), 1598-1602, 2006
2032006
On-the-fly machine-learning for high-throughput experiments: search for rare-earth-free permanent magnets
AG Kusne, T Gao, A Mehta, L Ke, MC Nguyen, KM Ho, V Antropov, ...
Scientific reports 4 (1), 1-7, 2014
2012014
Inkjet printed chemical sensor array based on polythiophene conductive polymers
B Li, S Santhanam, L Schultz, M Jeffries-El, MC Iovu, G Sauvé, J Cooper, ...
Sensors and Actuators B: Chemical 123 (2), 651-660, 2007
1822007
Fulfilling the promise of the materials genome initiative with high-throughput experimental methodologies
ML Green, CL Choi, JR Hattrick-Simpers, AM Joshi, I Takeuchi, SC Barron, ...
Applied Physics Reviews 4 (1), 011105, 2017
1532017
Machine learning modeling of superconducting critical temperature
V Stanev, C Oses, AG Kusne, E Rodriguez, J Paglione, S Curtarolo, ...
npj Computational Materials 4 (1), 1-14, 2018
1522018
Design and philosophy of the bimasc, a highly dynamic biped
JW Hurst, JE Chestnutt, AA Rizzi
Proceedings 2007 IEEE International Conference on Robotics and Automation …, 2007
1012007
Perspective: composition–structure–property mapping in high-throughput experiments: turning data into knowledge
JR Hattrick-Simpers, JM Gregoire, AG Kusne
APL Materials 4 (5), 053211, 2016
662016
Accelerated development of perovskite-inspired materials via high-throughput synthesis and machine-learning diagnosis
S Sun, NTP Hartono, ZD Ren, F Oviedo, AM Buscemi, M Layurova, ...
Joule 3 (6), 1437-1451, 2019
642019
Fast and interpretable classification of small X-ray diffraction datasets using data augmentation and deep neural networks
F Oviedo, Z Ren, S Sun, C Settens, Z Liu, NTP Hartono, S Ramasamy, ...
npj Computational Materials 5 (1), 1-9, 2019
622019
High-throughput determination of structural phase diagram and constituent phases using GRENDEL
AG Kusne, D Keller, A Anderson, A Zaban, I Takeuchi
Nanotechnology 26 (44), 444002, 2015
562015
Comparison of dissimilarity measures for cluster analysis of X-ray diffraction data from combinatorial libraries
Y Iwasaki, AG Kusne, I Takeuchi
npj Computational Materials 3 (1), 1-9, 2017
532017
Machine-learning guided discovery of a new thermoelectric material
Y Iwasaki, I Takeuchi, V Stanev, AG Kusne, M Ishida, A Kirihara, K Ihara, ...
Scientific reports 9 (1), 1-7, 2019
412019
Materials science in the artificial intelligence age: high-throughput library generation, machine learning, and a pathway from correlations to the underpinning physics
RK Vasudevan, K Choudhary, A Mehta, R Smith, G Kusne, F Tavazza, ...
MRS communications 9 (3), 821-838, 2019
352019
Unsupervised phase mapping of X-ray diffraction data by nonnegative matrix factorization integrated with custom clustering
V Stanev, VV Vesselinov, AG Kusne, G Antoszewski, I Takeuchi, ...
npj Computational Materials 4 (1), 1-10, 2018
352018
Dynamic network model for smart city data-loss resilience case study: City-to-city network for crime analytics
O Kotevska, AG Kusne, DV Samarov, A Lbath, A Battou
IEEE Access 5, 20524-20535, 2017
222017
Generalized analytical solution and study of conductive ellipsoidal field emitters
AG Kusne, DN Lambeth
IEEE transactions on electron devices 57 (3), 712-719, 2010
152010
Combinatorial study of Fe-Co-V hard magnetic thin films
SW Fackler, V Alexandrakis, D König, AG Kusne, T Gao, MJ Kramer, ...
Science and Technology of advanced MaTerialS 18 (1), 231-238, 2017
142017
Robust printing and dispensing solutions with three sigma volumetric control for 21st century manufacturing and packaging
B Li, PA Clark, K Hail
MRS Online Proceedings Library 1002 (1), 1-6, 2007
142007
The joint automated repository for various integrated simulations (JARVIS) for data-driven materials design
K Choudhary, KF Garrity, ACE Reid, B DeCost, AJ Biacchi, ARH Walker, ...
npj Computational Materials 6 (1), 1-13, 2020
132020
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