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Amalie Trewartha
Amalie Trewartha
Senior Research Scientist, Toyota Research Institute
Verified email at tri.global
Title
Cited by
Cited by
Year
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
2302019
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
1522020
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
972021
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
912022
Machine learning action parameters in lattice quantum chromodynamics
PE Shanahan, A Trewartha, W Detmold
Physical Review D 97 (9), 094506, 2018
722018
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
612015
Connection between center vortices and instantons through gauge-field smoothing
A Trewartha, W Kamleh, D Leinweber
Physical Review D 92 (7), 074507, 2015
452015
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
432022
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
402022
Centre vortex removal restores chiral symmetry
A Trewartha, W Kamleh, DB Leinweber
Journal of Physics G: Nuclear and Particle Physics 44 (12), 125002, 2017
342017
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
302022
Quark propagation in the instantons of lattice QCD
A Trewartha, W Kamleh, D Leinweber, DS Roberts
Physical Review D 88 (3), 034501, 2013
242013
COVIDScholar: An automated COVID-19 research aggregation and analysis platform
A Trewartha, J Dagdelen, H Huo, K Cruse, Z Wang, T He, A Subramanian, ...
arXiv preprint arXiv:2012.03891, 2020
212020
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
202021
Centre vortex effects on the overlap quark propagator
A Trewartha, W Kamleh, D Leinweber
arXiv preprint arXiv:1411.0766, 2014
132014
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
Interpretable data-driven modeling reveals complexity of battery aging
B van Vlijmen, V Lam, PA Asinger, X Cui, D Ganapathi, S Sun, PK Herring, ...
82023
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
62023
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
62023
Centre vortices are the seeds of dynamical chiral symmetry breaking
W Kamleh, DB Leinweber, A Trewartha
arXiv preprint arXiv:1701.03241, 2017
42017
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Articles 1–20