A computer vision approach for automated analysis and classification of microstructural image data BL DeCost, EA Holm Computational materials science 110, 126-133, 2015 | 266 | 2015 |
Accelerated development of perovskite-inspired materials via high-throughput synthesis and machine-learning diagnosis S Sun, NTP Hartono, ZD Ren, F Oviedo, AM Buscemi, M Layurova, ... Joule 3 (6), 1437-1451, 2019 | 200 | 2019 |
Fast and interpretable classification of small X-ray diffraction datasets using data augmentation and deep neural networks F Oviedo, Z Ren, S Sun, C Settens, Z Liu, NTP Hartono, S Ramasamy, ... npj Computational Materials 5 (1), 60, 2019 | 193 | 2019 |
Exploring the microstructure manifold: image texture representations applied to ultrahigh carbon steel microstructures BL DeCost, T Francis, EA Holm Acta Materialia 133, 30-40, 2017 | 189 | 2017 |
On-the-fly closed-loop materials discovery via Bayesian active learning AG Kusne, H Yu, C Wu, H Zhang, J Hattrick-Simpers, B DeCost, S Sarker, ... Nature communications 11 (1), 5966, 2020 | 187 | 2020 |
The joint automated repository for various integrated simulations (JARVIS) for data-driven materials design K Choudhary, KF Garrity, ACE Reid, B DeCost, AJ Biacchi, ... npj computational materials 6 (1), 173, 2020 | 185 | 2020 |
High throughput quantitative metallography for complex microstructures using deep learning: A case study in ultrahigh carbon steel BL DeCost, B Lei, T Francis, EA Holm Microscopy and Microanalysis 25 (1), 21-29, 2019 | 157 | 2019 |
Recent advances and applications of deep learning methods in materials science K Choudhary, B DeCost, C Chen, A Jain, F Tavazza, R Cohn, CW Park, ... npj Computational Materials 8 (1), 59, 2022 | 151 | 2022 |
Autonomous experimentation systems for materials development: A community perspective E Stach, B DeCost, AG Kusne, J Hattrick-Simpers, KA Brown, KG Reyes, ... Matter 4 (9), 2702-2726, 2021 | 144 | 2021 |
Computer vision and machine learning for autonomous characterization of am powder feedstocks BL DeCost, H Jain, AD Rollett, EA Holm Jom 69 (3), 456-465, 2017 | 124 | 2017 |
Atomistic line graph neural network for improved materials property predictions K Choudhary, B DeCost npj Computational Materials 7 (1), 185, 2021 | 122 | 2021 |
Machine learning with force-field-inspired descriptors for materials: Fast screening and mapping energy landscape K Choudhary, B DeCost, F Tavazza Physical review materials 2 (8), 083801, 2018 | 119 | 2018 |
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 | 80 | 2017 |
UHCSDB: ultrahigh carbon steel micrograph database: tools for exploring large heterogeneous microstructure datasets BL DeCost, MD Hecht, T Francis, BA Webler, YN Picard, EA Holm Integrating Materials and Manufacturing Innovation 6, 197-205, 2017 | 62 | 2017 |
Characterizing powder materials using keypoint-based computer vision methods BL DeCost, EA Holm Computational Materials Science 126, 438-445, 2017 | 51 | 2017 |
Scientific AI in materials science: a path to a sustainable and scalable paradigm BL DeCost, JR Hattrick-Simpers, Z Trautt, AG Kusne, E Campo, ML Green Machine learning: science and technology 1 (3), 033001, 2020 | 44 | 2020 |
A high-throughput structural and electrochemical study of metallic glass formation in Ni–Ti–Al H Joress, BL DeCost, S Sarker, TM Braun, S Jilani, R Smith, L Ward, ... ACS combinatorial science 22 (7), 330-338, 2020 | 30 | 2020 |
Phenomenology of abnormal grain growth in systems with nonuniform grain boundary mobility BL DeCost, EA Holm Metallurgical and Materials Transactions A 48, 2771-2780, 2017 | 28 | 2017 |
Elucidating multi-physics interactions in suspensions for the design of polymeric dispersants: a hierarchical machine learning approach A Menon, C Gupta, KM Perkins, BL DeCost, N Budwal, RT Rios, K Zhang, ... Molecular Systems Design & Engineering 2 (3), 263-273, 2017 | 28 | 2017 |
A large dataset of synthetic SEM images of powder materials and their ground truth 3D structures BL DeCost, EA Holm Data in brief 9, 727-731, 2016 | 22 | 2016 |