Erin Antono

发表

High-Dimensional Materials and Process Optimization Using Data-Driven Experimental Design with Well-Calibrated Uncertainty Estimates

Julia Ling, Maxwell Hutchinson, Erin Antono, 2017, Integrating Materials and Manufacturing Innovation.

High-Throughput Machine-Learning-Driven Synthesis of Full-Heusler Compounds

Taylor D. Sparks, Erin Antono, B. Meredig, 2016 .

Unsupervised Data Mining in nanoscale X-ray Spectro-Microscopic Study of NdFeB Magnet

S. Ermon, Yijin Liu, Erin Antono, 2016, Scientific Reports.

Design space visualization for guiding investments in biodegradable and sustainably sourced materials

James S. Peerless, Julia Ling, Erin Antono, 2020, MRS Communications.

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

Julia Ling, Maxwell Hutchinson, Erin Antono, 2020 .

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

Julia Ling, Maxwell Hutchinson, Erin Antono, 2020, 2007.01988.

Can machine learning identify the next high-temperature superconductor? Examining extrapolation performance for materials discovery

Ian Foster, Ian Foster, Brenna M. Gibbons, 2018 .

High-throughput characterization of Lu-doped zirconia

Erin Antono, B. Meredig, S. Haile, 2021 .

Machine-learned metrics for predicting the likelihood of success in materials discovery

Erin Antono, Julia Ling, Bryce Meredig, 2019, npj Computational Materials.

Machine-Learning Guided Quantum Chemical and Molecular Dynamics Calculations to Design Novel Hole Conducting Organic Materials.

Julia Ling, Erin Antono, J. Saal, 2020, The journal of physical chemistry. A.

Assessing the frontier: Active learning, model accuracy, and multi-objective candidate discovery and optimization.

Julia Ling, Zachary Del Rosario, Matthias Rupp, 2020, The Journal of chemical physics.

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

Erin Antono, Julia Ling, Bryce Meredig, 2017, ArXiv.

The chemical and structural origin of efficient p-type doping in P3HT

Erin Antono, M. Toney, A. Salleo, 2013 .

Single-Crystal Automated Refinement (SCAR): A Data-Driven Method for Determining Inorganic Structures.

Julia Ling, Erin Antono, B. Meredig, 2019, Inorganic chemistry.

Assessing the Frontier: Active Learning, Model Accuracy, and Multi-objective Materials Discovery and Optimization

M. Rupp, Julia Ling, Erin Antono, 2019, ArXiv.

Machine Learning Based Approaches to Accelerate Energy Materials Discovery and Optimization

Amir Barati Farimani, Venkatasubramanian Viswanathan, Erin Antono, 2018, ACS Energy Letters.

Overcoming data scarcity with transfer learning pdf

Erin Antono, Brenna M. Gibbons, Sean Paradiso, 2017, ArXiv.

Unsupervised Data Mining in nanoscale X-ray Spectro-Microscopic Study of NdFeB Magnet

Yijin Liu, Erin Antono, Wenge Yang, 2016, Scientific Reports.