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Weihermüller, Johannes
17  Ergebnisse:
Personensuche X
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1

Solvent‐Dependent Self‐Assembly of an Amphiphilic Copper(II..:

Schreck, Constantin ; Weihermüller, Johannes ; Thoma, Peter...
European Journal of Inorganic Chemistry.  2022 (2022)  27 - p. , 2022
Link: https://doi.org/10.1002/..
 
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2

The Many Aspects Of Amphiphilic Complexes:

Weihermüller, Johannes , 2019
Link: https://nbn-resolving.de..
 
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3

Amphiphilic iron(ii) spin crossover coordination polymers: ..:

Weihermüller, Johannes ; Schlamp, Stephan ; Milius, Wolfgang...
Journal of Materials Chemistry C.  7 (2019)  5 - p. 1151-1163 , 2019
Link: https://doi.org/10.1039/..
 
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4

Kinetic Trapping Effects in Amphiphilic Iron(II) Spin Cross..:

Weihermüller, Johannes ; Schlamp, Stephan ; Dittrich, Birger.
Inorganic Chemistry.  58 (2019)  2 - p. 1278-1289 , 2019
Link: https://doi.org/10.1021/..
 
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5

Solvent-dependent self-assembly of an amphiphilic copper(II..:

Schreck, Constantin ; Weihermüller, Johannes ; Thoma, Peter...
https://epub.uni-bayreuth.de/id/eprint/7128/1/Eur%20J%20Inorg%20Chem%20-%202022%20-%20Schreck%20-%20Solvent%E2%80%90Dependent%20Self%E2%80%90Assembly%20of%20an%20Amphiphilic%20Copper%20II%20Complex%20with%20Bulky%20Head.pdf.  , 2022
Link: https://epub.uni-bayreut..
 
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6

The Many Aspects Of Amphiphilic Complexes:

Weihermüller, Johannes
https://epub.uni-bayreuth.de/id/eprint/4449/1/Dissertation_Johannes_Weiherm%C3%BCller-Endversion.pdf.  , 2019
Link: https://epub.uni-bayreut..
 
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7

How well do crop modeling groups predict wheat phenology, g..:

Wallach, Daniel ; Palosuo, Taru ; Thorburn, Peter...
https://pure.au.dk/portal/da/publications/how-well-do-crop-modeling-groups-predict-wheat-phenology-given-calibration-data-from-the-target-population(a98b7040-5452-4c99-91c0-094e0eb879a3).html.  , 2021
Link: https://pure.au.dk/porta..
 
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8

The chaos in calibrating crop models:

Wallach, Daniel ; Palosuo, Taru ; Thorburn, Peter...
Environmental Modelling and Software.  , 2021
Link: https://aaltodoc.aalto.f..
 
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9

Multi-model evaluation of phenology prediction for wheat in..:

Wallach, Daniel ; Palosuo, Taru ; Thorburn, Peter...
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.agrformet.2020.108289.  , 2021
Link: https://hal.inrae.fr/hal..
 
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10

Multi-model evaluation of phenology prediction for wheat in..:

Wallach, Daniel ; Palosuo, Taru ; Thorburn, Peter...
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.agrformet.2020.108289.  , 2021
Link: https://hal.inrae.fr/hal..
 
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11

Multi-model evaluation of phenology prediction for wheat in..:

Wallach, Daniel ; Palosuo, Taru ; Thorburn, Peter...
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.agrformet.2020.108289.  , 2021
Link: https://hal.inrae.fr/hal..
 
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12

Multi-model evaluation of phenology prediction for wheat in..:

Wallach, Daniel ; Palosuo, Taru ; Thorburn, Peter...
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.agrformet.2020.108289.  , 2021
Link: https://hal.inrae.fr/hal..
 
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13

Multi-model evaluation of phenology prediction for wheat in..:

Wallach, Daniel ; Palosuo, Taru ; Thorburn, Peter...
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.agrformet.2020.108289.  , 2021
Link: https://hal.inrae.fr/hal..
 
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14

Multi-model evaluation of phenology prediction for wheat in..:

Wallach, Daniel ; Palosuo, Taru ; Thorburn, Peter...
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.agrformet.2020.108289.  , 2021
Link: https://hal.inrae.fr/hal..
 
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15

Multi-model evaluation of phenology prediction for wheat in..:

Wallach, Daniel ; Palosuo, Taru ; Thorburn, Peter...
Agricultural and Forest Meteorology.  , 2021
Link: https://aaltodoc.aalto.f..
 
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