| 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 | 99 | 2019 |
| 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 | 75 | 2020 |
| 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 | 75 | 2020 |
| 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 | 69 | 2021 |
| 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 | 41 | 2020 |
| 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 | 29 | 2019 |
| Hybrid genetic deflated newton method for global optimisation MM Noack, SW Funke Journal of Computational and Applied Mathematics 325, 97-112, 2017 | 29 | 2017 |
| 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 | 21 | 2023 |
| 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 | 20 | 2022 |
| 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 | 16 | 2022 |
| 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 | 12 | 2020 |
| Autonomous x-ray scattering KG Yager, PW Majewski, MM Noack, M Fukuto Nanotechnology 34 (32), 322001, 2023 | 11 | 2023 |
| 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 | 9 | 2023 |
| Statistical and machine learning-based durability-testing strategies for energy storage SJ Harris, MM Noack Joule 7 (5), 920-934, 2023 | 8 | 2023 |
| Mathematical nuances of Gaussian process-driven autonomous experimentation MM Noack, KG Reyes MRS Bulletin 48 (2), 153-163, 2023 | 8 | 2023 |
| Acoustic wave and eikonal equations in a transformed metric space for various types of anisotropy MM Noack, S Clark Heliyon 3 (3), 2017 | 7 | 2017 |
| 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 | 5 | 2019 |
| A substitutional quantum defect in WS2 discovered by high-throughput computational screening and fabricated by site-selective STM manipulation JC Thomas, W Chen, Y Xiong, BA Barker, J Zhou, W Chen, A Rossi, ... Nature communications 15 (1), 3556, 2024 | 4 | 2024 |
| Benchmarking autonomous scattering experiments illustrated on TAS M Teixeira Parente, A Schneidewind, G Brandl, C Franz, M Noack, ... Frontiers in Materials 8, 772014, 2022 | 4 | 2022 |
| High-performance hybrid-global-deflated-local optimization with applications to active learning MM Noack, D Perryman, H Krishnan, PH Zwart 2021 3rd Annual Workshop on Extreme-scale Experiment-in-the-Loop Computing …, 2021 | 4 | 2021 |
Kevin G. YagerCenter for Functional Nanomaterials, Brookhaven National Laboratory在 bnl.gov 的电子邮件经过验证
