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Leland Barnard
Leland Barnard
在 mayo.edu 的电子邮件经过验证
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引用次数
引用次数
年份
Computationally efficient whole-genome regression for quantitative and binary traits
J Mbatchou, L Barnard, J Backman, A Marcketta, JA Kosmicki, ...
Nature Genetics, 1-7, 2021
5282021
Exome sequencing and characterization of 49,960 individuals in the UK Biobank
CV Van Hout, I Tachmazidou, JD Backman, JD Hoffman, D Liu, ...
Nature 586 (7831), 749-756, 2020
3892020
Ab-initio based modeling of diffusion in dilute bcc Fe–Ni and Fe–Cr alloys and implications for radiation induced segregation
S Choudhury, L Barnard, JD Tucker, TR Allen, BD Wirth, M Asta, ...
Journal of Nuclear Materials 411 (1), 1-14, 2011
1412011
Whole exome sequencing and characterization of coding variation in 49,960 individuals in the UK Biobank
CV Van Hout, I Tachmazidou, JD Backman, JX Hoffman, B Ye, AK Pandey, ...
BioRxiv, 572347, 2019
1102019
An international genome-wide meta-analysis of primary biliary cholangitis: Novel risk loci and candidate drugs
HJ Cordell, JJ Fryett, K Ueno, R Darlay, Y Aiba, Y Hitomi, M Kawashima, ...
Journal of hepatology 75 (3), 572-581, 2021
862021
Thermodynamic and kinetic modeling of Mn-Ni-Si precipitates in low-Cu reactor pressure vessel steels
H Ke, P Wells, PD Edmondson, N Almirall, L Barnard, GR Odette, ...
Acta Materialia, 2017
862017
Dependence on grain boundary structure of radiation induced segregation in a 9wt.% Cr model ferritic/martensitic steel
KG Field, LM Barnard, CM Parish, JT Busby, D Morgan, TR Allen
Journal of Nuclear Materials 435 (1), 172-180, 2013
832013
An ab initio study of Ti–Y–O nanocluster energetics in nanostructured ferritic alloys
L Barnard, GR Odette, I Szlufarska, D Morgan
Acta Materialia 60 (3), 935-947, 2012
672012
Deep learning-based brain age prediction in normal aging and dementia
J Lee, B Burkett, HK Min, M Senjem, E Lundt, H Botha, J Graff-Radford, ...
622021
Thermodynamic and kinetic modeling of oxide precipitation in nanostructured ferritic alloys
L Barnard, N Cunningham, GR Odette, I Szlufarska, D Morgan
Acta Materialia 91, 340-354, 2015
572015
Thermodynamic models of low-temperature Mn–Ni–Si precipitation in reactor pressure vessel steels
W Xiong, H Ke, R Krishnamurthy, P Wells, L Barnard, GR Odette, ...
MRS Communications 4 (03), 101-105, 2014
552014
Meta-analysis uncovers genome-wide significant variants for rapid kidney function decline
M Gorski, B Jung, Y Li, PR Matias-Garcia, M Wuttke, S Coassin, CHL Thio, ...
Kidney international 99 (4), 926-939, 2021
542021
Grain boundary character dependence of radiation-induced segregation in a model Ni–Cr alloy
CM Barr, L Barnard, JE Nathaniel, K Hattar, KA Unocic, I Szlurfarska, ...
Journal of Materials Research 30 (09), 1290-1299, 2015
472015
Atomistic modeling of the order–disorder phase transformation in the Ni 2 Cr model alloy
L Barnard, GA Young, B Swoboda, S Choudhury, A Van der Ven, ...
Acta Materialia 81, 258-271, 2014
432014
A computational model of neurodegeneration in Alzheimer’s disease
D Jones, V Lowe, J Graff-Radford, H Botha, L Barnard, D Wiepert, ...
Nature Communications 13 (1), 1-13, 2022
422022
Characterization of microstructure and property evolution in advanced cladding and duct: Materials exposed to high dose and elevated temperature
TR Allen, D Kaoumi, JP Wharry, Z Jiao, C Topbasi, A Kohnert, L Barnard, ...
Journal of Materials Research 30 (09), 1246-1274, 2015
402015
Ab initio molecular dynamics simulation of interstitial diffusion in Ni–Cr alloys and implications for radiation induced segregation
L Barnard, D Morgan
Journal of Nuclear Materials 449 (1), 225-233, 2014
392014
Modeling radiation induced segregation in Ni–Cr model alloys from first principles
L Barnard, JD Tucker, S Choudhury, TR Allen, D Morgan
Journal of Nuclear Materials 425 (1), 8-15, 2012
322012
Polygenic risk of psychiatric disorders exhibits cross-trait associations in electronic health record data from european ancestry individuals
RL Kember, AK Merikangas, SS Verma, A Verma, R Judy, G Abecasis, ...
Biological Psychiatry 89 (3), 236-245, 2020
302020
Domain-guided Self-supervision of EEG Data Improves Downstream Classification Performance and Generalizability
N Wagh, J Wei, S Rawal, B Berry, L Barnard, B Brinkmann, G Worrell, ...
Machine Learning for Health, 130-142, 2021
192021
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