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BreedVision--a multi-sensor platform for non-destructive field-based phenotyping in plant breeding

Sensors (Basel, Switzerland), 2013-02, Vol.13 (3), p.2830-2847

2013

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Precision phenotyping of biomass accumulation in triticale reveals temporal genetic patterns of regulation

Scientific reports, 2013-08, Vol.3 (1), p.2442-2442, Article 2442

2013

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The impact of operating parameters and system architecture on the water management of a multifunctional PEMFC system

International journal of hydrogen energy, 2015-09, Vol.40 (35), p.11595-11603

2015

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Multiple-line cross QTL mapping for biomass yield and plant height in triticale (× Triticosecale Wittmack)

Theoretical and applied genetics, 2014, Vol.127 (1), p.251-260

2014

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Development and assessment of a multi-sensor platform for precision phenotyping of small grain cereals under field conditions

Busemeyer, Lucas

2014

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Mapping dynamic QTL for plant height in triticale

BMC genetics, 2014-05, Vol.15 (1), p.59

2014

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Beyond discrete-choice options

Trends in cognitive sciences, 2024-09, Vol.28 (9), p.857-870

2024

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Competing collinear magnetic structures in superconducting FeSe by first-principles quantum Monte Carlo calculations

Physical review. B, 2016-07, Vol.94 (3), Article 035108

2016

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Excited states in variational Monte Carlo using a penalty method

The Journal of chemical physics, 2021-01, Vol.154 (3)

2021

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Excited states in variational Monte Carlo using a penalty method

The Journal of chemical physics, 2021-01, Vol.154 (3), p.034101-034101

2021

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Accurate barrier heights using diffusion Monte Carlo

The Journal of chemical physics, 2017-03, Vol.146 (12), p.124129-124129

2017

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From Real Materials to Model Hamiltonians With Density Matrix Downfolding

Frontiers in physics, 2018-05, Vol.6

2018

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PyQMC: An all-Python real-space quantum Monte Carlo module in PySCF

The Journal of chemical physics, 2023-03, Vol.158 (11), p.114801-114801

2023

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Downfolding from ab initio to interacting model Hamiltonians: comprehensive analysis and benchmarking of the DFT+cRPA approach

npj computational materials, 2024-06, Vol.10 (1), p.129-12, Article 129

2024

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Similar processes despite divergent behavior in two commonly used measures of risky decision making

Journal of behavioral decision making, 2009-10, Vol.22 (4), p.435-454

2009

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Prediction for the singlet-triplet excitation energy for the spinel MgTi2O4 using first-principles diffusion Monte Carlo

Physical review. B, 2019-02, Vol.99 (8), p.081118(R)

2019

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Prediction for the singlet-triplet excitation energy for the spinel MgTi 2 O 4 using first-principles diffusion Monte Carlo

Physical review. B, 2019-02, Vol.99 (8), Article 081118

2019

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BreedVision--a multi-sensor platform for non-destructive field-based phenotyping in plant breeding

Precision phenotyping of biomass accumulation in triticale reveals temporal genetic patterns of regulation

The impact of operating parameters and system architecture on the water management of a multifunctional PEMFC system

Multiple-line cross QTL mapping for biomass yield and plant height in triticale (× Triticosecale Wittmack)

Development and assessment of a multi-sensor platform for precision phenotyping of small grain cereals under field conditions

Mapping dynamic QTL for plant height in triticale

Beyond discrete-choice options

Competing collinear magnetic structures in superconducting FeSe by first-principles quantum Monte Carlo calculations

Excited states in variational Monte Carlo using a penalty method

Excited states in variational Monte Carlo using a penalty method

Accurate barrier heights using diffusion Monte Carlo

From Real Materials to Model Hamiltonians With Density Matrix Downfolding

PyQMC: An all-Python real-space quantum Monte Carlo module in PySCF

Downfolding from ab initio to interacting model Hamiltonians: comprehensive analysis and benchmarking of the DFT+cRPA approach

Similar processes despite divergent behavior in two commonly used measures of risky decision making

Prediction for the singlet-triplet excitation energy for the spinel MgTi2O4 using first-principles diffusion Monte Carlo

Prediction for the singlet-triplet excitation energy for the spinel MgTi 2 O 4 using first-principles diffusion Monte Carlo

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