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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), 11809, 2019
942019
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
622020
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
622020
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 3 (10), 685-697, 2021
592021
Advances in kriging-based autonomous x-ray scattering experiments
MM Noack, GS Doerk, R Li, M Fukuto, KG Yager
Scientific reports 10 (1), 1325, 2020
372020
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
292019
Hybrid genetic deflated newton method for global optimisation
MM Noack, SW Funke
Journal of Computational and Applied Mathematics 325, 97-112, 2017
262017
Autonomous discovery of emergent morphologies in directed self-assembly of block copolymer blends
GS Doerk, A Stein, S Bae, MM Noack, M Fukuto, KG Yager
Science advances 9 (2), eadd3687, 2023
152023
Advanced stationary and nonstationary kernel designs for domain-aware gaussian processes
MM Noack, JA Sethian
Communications in Applied Mathematics and Computational Science 17 (1), 131-156, 2022
132022
Autonomous scanning probe microscopy investigations over WS2 and Au{111}
JC Thomas, A Rossi, D Smalley, L Francaviglia, Z Yu, T Zhang, S Kumari, ...
npj Computational Materials 8 (1), 99, 2022
112022
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
112020
Autonomous x-ray scattering
KG Yager, PW Majewski, MM Noack, M Fukuto
Nanotechnology 34 (32), 322001, 2023
102023
Statistical and machine learning-based durability-testing strategies for energy storage
SJ Harris, MM Noack
Joule 7 (5), 920-934, 2023
82023
Exact Gaussian processes for massive datasets via non-stationary sparsity-discovering kernels
MM Noack, H Krishnan, MD Risser, KG Reyes
Scientific reports 13 (1), 3155, 2023
62023
Mathematical nuances of Gaussian process-driven autonomous experimentation
MM Noack, KG Reyes
MRS Bulletin 48 (2), 153-163, 2023
62023
Acoustic wave and eikonal equations in a transformed metric space for various types of anisotropy
MM Noack, S Clark
Heliyon 3 (3), 2017
62017
Benchmarking autonomous scattering experiments illustrated on TAS
M Teixeira Parente, A Schneidewind, G Brandl, C Franz, M Noack, ...
Frontiers in Materials 8, 772014, 2022
52022
A kriging-based approach to autonomous experimentation with applications to X-Ray scattering. Sci Rep 9: 1–19
MM Noack, KG Yager, M Fukuto, GS Doerk, R Li, JA Sethian
52019
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
Surface enrichment dictates block copolymer orientation
S Bae, MM Noack, KG Yager
Nanoscale 15 (15), 6901-6912, 2023
32023
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