activity
20112022
most citedHigh-Dimensional Materials and Process Optimization using Data-driven Experimental Design with Well-Calibrated Uncertainty Estimates

180 citations · 521 across the 10 of their papers we have counts for

collaborators

10 papers

stat.ML2022

Multivariate Prediction Intervals for Random Forests

Brendan Folie, Maxwell Hutchinson

Accurate uncertainty estimates can significantly improve the performance of iterative design of experiments, as in Sequential and Reinforcement learning. For many such problems in…

cond-mat.mtrl-sci2020★ 3 cited

Quantifying uncertainty in high-throughput density functional theory: a comparison of AFLOW, Materials Project, and OQMD

Vinay I. Hegde, Christopher K. H. Borg, Zachary del Rosario +7

A central challenge in high throughput density functional theory (HT-DFT) calculations is selecting a combination of input parameters and post-processing techniques that can be use…

cs.LG2017★ 80 cited

Overcoming data scarcity with transfer learning

Maxwell L. Hutchinson, Erin Antono, Brenna M. Gibbons +3

Despite increasing focus on data publication and discovery in materials science and related fields, the global view of materials data is highly sparse. This sparsity encourages tra…

cs.AI2017★ 6 cited

Building Data-driven Models with Microstructural Images: Generalization and Interpretability

Julia Ling, Maxwell Hutchinson, Erin Antono +3

As data-driven methods rise in popularity in materials science applications, a key question is how these machine learning models can be used to understand microstructure. Given the…

cs.DC2017★ 68 cited

On the Strong Scaling of the Spectral Element Solver Nek5000 on Petascale Systems

Nicolas Offermans, Oana Marin, Michel Schanen +7

The present work is targeted at performing a strong scaling study of the high-order spectral element fluid dynamics solver Nek5000. Prior studies indicated a recommendable metric f…

stat.ML2017★ 180 cited

High-Dimensional Materials and Process Optimization using Data-driven Experimental Design with Well-Calibrated Uncertainty Estimates

Julia Ling, Max Hutchinson, Erin Antono +2

The optimization of composition and processing to obtain materials that exhibit desirable characteristics has historically relied on a combination of scientist intuition, trial and…

physics.flu-dyn2015★ 1 cited

Direct numerical simulation of single mode three-dimensional Rayleigh-Taylor experiments

Maxwell Hutchinson

The single-mode Rayleigh-Taylor instability (smRTI) is well defined, poorly understood, and applicable to many fluid flows directly and through its relationship to multi-mode Rayle…

cond-mat.mtrl-sci2014★ 1 cited

The Shirley reduced basis: a reduced order model for plane-wave DFT

Maxwell Hutchinson, David Prendergast

The Shirley reduced basis (SRB) represents the periodic parts of Bloch functions as linear combi- nations of eigenvectors taken from a coarse sample of the Brillouin zone, orthogon…

math.CO2013★ 6 cited

Enumeration of octagonal tilings

Maxwell Hutchinson, Michael Widom

Random tilings are interesting as idealizations of atomistic models of quasicrystals and for their connection to problems in combinatorics and algorithms. Of particular interest is…

cond-mat.mtrl-sci2011★ 176 cited

VASP on a GPU: application to exact-exchange calculations of the stability of elemental boron

Maxwell Hutchinson, Michael Widom

General purpose graphical processing units (GPU's) offer high processing speeds for certain classes of highly parallelizable computations, such as matrix operations and Fourier tra…