Marcus Noack
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A kriging-based approach to autonomous experimentation with applications to x-ray scattering
MM Noack, KG Yager, M Fukuto, GS Doerk, R Li, JA Sethian
Scientific reports 9 (1), 1-19, 2019
392019
Instrumentation for In situ/Operando X-ray Scattering Studies of Polymer Additive Manufacturing Processes
L Wiegart, GS Doerk, M Fukuto, S Lee, R Li, G Marom, MM Noack, ...
Synchrotron Radiation News 32 (2), 20-27, 2019
182019
Advances in kriging-based autonomous x-ray scattering experiments
MM Noack, GS Doerk, R Li, M Fukuto, KG Yager
Scientific reports 10 (1), 1-17, 2020
172020
Autonomous Materials Discovery Driven by Gaussian Process Regression with Inhomogeneous Measurement Noise and Anisotropic Kernels
MM Noack, GS Doerk, R Li, JK Streit, RA Vaia, KG Yager, M Fukuto
Scientific reports 10, 2020
152020
Autonomous Materials Discovery Driven by Gaussian Process Regression with Inhomogeneous Measurement Noise and Anisotropic Kernels
MM Noack, GS Doerk, R Li, JK Streit, RA Vaia, KG Yager, M Fukuto
arXiv preprint arXiv:2006.02489, 2020
152020
Hybrid genetic deflated Newton method for global optimisation
MM Noack, SW Funke
Journal of Computational and Applied Mathematics 325, 97-112, 2017
152017
A two-scale method using a list of active sub-domains for a fully parallelized solution of wave equations
M Noack
Journal of Computational Science 11, 91-101, 2015
42015
K-means-driven Gaussian Process data collection for angle-resolved photoemission spectroscopy
CN Melton, MM Noack, T Ohta, TE Beechem, J Robinson, X Zhang, ...
Machine Learning: Science and Technology 1 (4), 045015, 2020
32020
Fast computation of eikonal and transport equations on graphics processing units computer architectures
M Noack, T Gillberg
Geophysics 80 (5), T183-T9, 2015
32015
Gaussian processes for autonomous data acquisition at large-scale synchrotron and neutron facilities
MM Noack, PH Zwart, DM Ushizima, M Fukuto, KG Yager, KC Elbert, ...
Nature Reviews Physics, 1-13, 2021
22021
Advanced stationary and non-stationary kernel designs for domain-aware Gaussian processes
MM Noack, JA Sethian
arXiv preprint arXiv:2102.03432, 2021
22021
Computational strategies to increase efficiency of Gaussian-process-driven autonomous experiments
M Noack, P Zwart
2019 IEEE/ACM 1st Annual Workshop on Large-scale Experiment-in-the-Loop …, 2019
22019
Apparatus and method for global optimization
MM Noack, SW Funke
US Patent 9,990,714, 2018
22018
Acoustic wave and eikonal equations in a transformed metric space for various types of anisotropy
MM Noack, S Clark
Heliyon 3 (3), e00260, 2017
22017
gpCAM v6
M Noack
Lawrence Berkeley National Lab.(LBNL), Berkeley, CA (United States), 2021
12021
Data science and machine learning for polymer films and beyond
D Ushizima, M Noack, A Hexemer
Bulletin of the American Physical Society 65, 2020
12020
Autonomous Scanning Probe Microscopy Investigations over WS and Au{111}
JC Thomas, A Rossi, D Smalley, L Francaviglia, Z Yu, T Zhang, ...
arXiv preprint arXiv:2110.03351, 2021
2021
Autonomous Discovery in Science and Engineering
MM Noack, JA Sethian
USDOE Office of Science (SC)(United States), 2021
2021
fvGP v2. 2.0
M Noack, D Perryman
Lawrence Berkeley National Lab.(LBNL), Berkeley, CA (United States), 2021
2021
Building Mathematics, Algorithms, and Software for Experimental Facilities
H Chang, JJ Donatelli, P Enfedaque, G Freychet, M Haranczyk, ...
HANDBOOK ON BIG DATA AND MACHINE LEARNING IN THE PHYSICAL SCIENCES: Volume 2 …, 2020
2020
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Artikler 1–20