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Max Hutchinson
Max Hutchinson
Citrine Informatics
Verified email at uchicago.edu
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Cited by
Year
Can machine learning identify the next high-temperature superconductor? Examining extrapolation performance for materials discovery
B Meredig, E Antono, C Church, M Hutchinson, J Ling, S Paradiso, ...
Molecular Systems Design & Engineering 3 (5), 819-825, 2018
2232018
High-dimensional materials and process optimization using data-driven experimental design with well-calibrated uncertainty estimates
J Ling, M Hutchinson, E Antono, S Paradiso, B Meredig
Integrating Materials and Manufacturing Innovation 6, 207-217, 2017
1992017
LIBXSMM: accelerating small matrix multiplications by runtime code generation
A Heinecke, G Henry, M Hutchinson, H Pabst
SC'16: Proceedings of the International Conference for High Performance …, 2016
1982016
VASP on a GPU: application to exact-exchange calculations of the stability of elemental boron
M Hutchinson, M Widom
Arxiv preprint arXiv:1111.0716, 2011
1382011
Overcoming data scarcity with transfer learning
ML Hutchinson, E Antono, BM Gibbons, S Paradiso, J Ling, B Meredig
arXiv preprint arXiv:1711.05099, 2017
982017
Building data-driven models with microstructural images: Generalization and interpretability
J Ling, M Hutchinson, E Antono, B DeCost, EA Holm, B Meredig
Materials Discovery 10, 19-28, 2017
862017
On the strong scaling of the spectral element solver Nek5000 on petascale systems
N Offermans, O Marin, M Schanen, J Gong, P Fischer, P Schlatter, ...
Proceedings of the Exascale Applications and Software Conference 2016, 1-10, 2016
852016
Efficiency of high order spectral element methods on petascale architectures
M Hutchinson, A Heinecke, H Pabst, G Henry, M Parsani, D Keyes
High Performance Computing: 31st International Conference, ISC High …, 2016
302016
Machine learning for alloy composition and process optimization
J Ling, E Antono, S Bajaj, S Paradiso, M Hutchinson, B Meredig, ...
Turbo Expo: Power for Land, Sea, and Air 51128, V006T24A005, 2018
252018
Quantifying uncertainty in high-throughput density functional theory: A comparison of AFLOW, Materials Project, and OQMD
VI Hegde, CKH Borg, Z del Rosario, Y Kim, M Hutchinson, E Antono, ...
Physical Review Materials 7 (5), 053805, 2023
17*2023
Performance study of sustained petascale direct numerical simulation on Cray XC40 systems
B Hadri, M Parsani, M Hutchinson, A Heinecke, L Dalcin, D Keyes
Concurrency and Computation: Practice and Experience 32 (20), e5725, 2020
142020
Using machine learning to explore formulations recipes with new ingredients
ML Hutchinson, ES Kim, RM Latture, SP Paradiso, JB Ling
US Patent 10,984,145, 2021
112021
Enumeration of octagonal tilings
M Hutchinson, M Widom
Theoretical Computer Science, 40-50, 2015
102015
ASME Turbo Expo 2018: Turbomachinery Technical Conference and Exposition
J Ling, E Antono, S Bajaj, S Paradiso, M Hutchinson, B Meredig, ...
Oslo, 2018
92018
Solving industrial materials problems by using machine learning across diverse computational and experimental data
M Hutchinson, E Antono, B Gibbons, S Paradiso, J Ling, B Meredig
APS March Meeting Abstracts 2018, K32. 002, 2018
42018
Direct numerical simulation of single mode three-dimensional Rayleigh-Taylor experiments
M Hutchinson
arXiv preprint arXiv:1511.07254, 2015
22015
Multivariate prediction intervals for bagged models
B Folie, M Hutchinson
Machine Learning: Science and Technology 4 (1), 015022, 2023
12023
Performance Study of Sustained Petascale Direct Numerical Simulation on Cray XC40 Systems (Trinity, Shaheen2 and Cori)
B Hadri, M Parsani, M Hutchinson, A Heinecke, L Dalcin, DE Keyes
Cray User Group, 2019
12019
Plane‐Wave Density Functional Theory
M Hutchinson, P Fleurat‐Lessard, A Anciaux‐Sedrakian, D Stosic, ...
Electronic Structure Calculations on Graphics Processing Units: From Quantum …, 2016
12016
The Shirley reduced basis: a reduced order model for plane-wave DFT
M Hutchinson, D Prendergast
arXiv preprint arXiv:1402.7366, 2014
12014
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Articles 1–20