| Named entity recognition and normalization applied to large-scale information extraction from the materials science literature L Weston, V Tshitoyan, J Dagdelen, O Kononova, A Trewartha, ... Journal of chemical information and modeling 59 (9), 3692-3702, 2019 | 296 | 2019 |
| A critical examination of compound stability predictions from machine-learned formation energies CJ Bartel, A Trewartha, Q Wang, A Dunn, A Jain, G Ceder npj computational materials 6 (1), 97, 2020 | 183 | 2020 |
| Opportunities and challenges of text mining in materials research O Kononova, T He, H Huo, A Trewartha, EA Olivetti, G Ceder Iscience 24 (3), 2021 | 135 | 2021 |
| Quantifying the advantage of domain-specific pre-training on named entity recognition tasks in materials science A Trewartha, N Walker, H Huo, S Lee, K Cruse, J Dagdelen, A Dunn, ... Patterns 3 (4), 2022 | 128 | 2022 |
| Machine learning action parameters in lattice quantum chromodynamics PE Shanahan, A Trewartha, W Detmold Physical Review D 97 (9), 094506, 2018 | 76 | 2018 |
| Evidence that centre vortices underpin dynamical chiral symmetry breaking in SU (3) gauge theory A Trewartha, W Kamleh, D Leinweber Physics Letters B 747, 373-377, 2015 | 60 | 2015 |
| Text-mined dataset of gold nanoparticle synthesis procedures, morphologies, and size entities K Cruse, A Trewartha, S Lee, Z Wang, H Huo, T He, O Kononova, A Jain, ... Scientific data 9 (1), 234, 2022 | 54 | 2022 |
| Machine-learning rationalization and prediction of solid-state synthesis conditions H Huo, CJ Bartel, T He, A Trewartha, A Dunn, B Ouyang, A Jain, G Ceder Chemistry of Materials 34 (16), 7323-7336, 2022 | 52 | 2022 |
| Connection between center vortices and instantons through gauge-field smoothing A Trewartha, W Kamleh, D Leinweber Physical Review D 92 (7), 074507, 2015 | 46 | 2015 |
| Toward autonomous materials research: Recent progress and future challenges JH Montoya, M Aykol, A Anapolsky, CB Gopal, PK Herring, ... Applied Physics Reviews 9 (1), 2022 | 39 | 2022 |
| The impact of domain-specific pre-training on named entity recognition tasks in materials science N Walker, A Trewartha, H Huo, S Lee, K Cruse, J Dagdelen, A Dunn, ... Available at SSRN 3950755, 2021 | 35 | 2021 |
| Centre vortex removal restores chiral symmetry A Trewartha, W Kamleh, DB Leinweber Journal of Physics G: Nuclear and Particle Physics 44 (12), 125002, 2017 | 32 | 2017 |
| COVIDScholar: An automated COVID-19 research aggregation and analysis platform J Dagdelen, A Trewartha, H Huo, Y Fei, T He, K Cruse, Z Wang, ... Plos one 18 (2), e0281147, 2023 | 27 | 2023 |
| Quark propagation in the instantons of lattice QCD A Trewartha, W Kamleh, D Leinweber, DS Roberts Physical Review D—Particles, Fields, Gravitation, and Cosmology 88 (3), 034501, 2013 | 22 | 2013 |
| Interpretable data-driven modeling reveals complexity of battery aging B van Vlijmen, V Lam, PA Asinger, X Cui, D Ganapathi, S Sun, PK Herring, ... | 16 | 2023 |
| Centre vortex effects on the overlap quark propagator A Trewartha, W Kamleh, D Leinweber arXiv preprint arXiv:1411.0766, 2014 | 13 | 2014 |
| A critical examination of compound stability predictions from machine-learned formation energies. npj Computational Materials 2020, 6 (1), 97 CJ Bartel, A Trewartha, Q Wang, A Dunn, A Jain, G Ceder DOI, 0 | 11 | |
| Materials cartography: A forward-looking perspective on materials representation and devising better maps SB Torrisi, MZ Bazant, AE Cohen, MG Cho, JS Hummelshøj, L Hung, ... APL Machine Learning 1 (2), 2023 | 9 | 2023 |
| Combining text mining, in situ characterization, and ab initio calculations to rationalize BiFeO3 crystallization pathways M Abdelsamie, K Hong, K Cruse, CJ Bartel, V Baibakova, A Trewartha, ... Matter 6 (12), 4291-4305, 2023 | 4 | 2023 |
| Centre vortices are the seeds of dynamical chiral symmetry breaking W Kamleh, DB Leinweber, A Trewartha arXiv preprint arXiv:1701.03241, 2017 | 4 | 2017 |
