Karin Zojer

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All published works

Action	Title	Year	Authors
+ PDF Chat	Transport of Organic Volatiles through Paper: Physics-Informed Neural Networks for Solving Inverse and Forward Problems	2022	Alexandra Serebrennikova Raimund Teubler Lisa Hoffellner Erich Leitner Ulrich Hirn Karin Zojer
+ PDF Chat	Impact of thermal transport parameters on the operating temperature of organic light emitting diodes	2019	G. Krikun Karin Zojer
+ PDF Chat	Critical Evaluation of Organic Thin-Film Transistor Models	2019	Markus Krammer James W. Borchert Andreas Petritz Esther Karner‐Petritz Gerburg Schider Barbara Stadlober Hagen Klauk Karin Zojer
+	Critical Evaluation of Organic Thin-Film Transistor Models	2018	Markus Krammer James W. Borchert Andreas Petritz Esther Karner‐Petritz Gerburg Schider Barbara Stadlober Hagen Klauk Karin Zojer
+	Simulation of the performance of organic electronic devices based on a two-dimensional drift-diffusion approach	2011	Manfred Gruber Benjamin A. Stickler Stefan Possanner Karin Zojer Ferdinand Schürrer

Common Coauthors

Coauthor	Papers Together
Gerburg Schider	2
Andreas Petritz	2
Hagen Klauk	2
James W. Borchert	2
Markus Krammer	2
Esther Karner‐Petritz	2
Barbara Stadlober	2
G. Krikun	1
Erich Leitner	1
Ferdinand Schürrer	1
Ulrich Hirn	1
Alexandra Serebrennikova	1
Benjamin A. Stickler	1
Lisa Hoffellner	1
Stefan Possanner	1
Raimund Teubler	1
Manfred Gruber	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	The Parameter Estimation Problem for Parabolic Equations and Discontinuous Observation Operators	1985	Karl Kunisch L. White	1
+ PDF Chat	Theory of the field-effect mobility in amorphous organic transistors	1998	M. C. J. M. Vissenberg M. Matters	1
+ PDF Chat	Error estimates of finite element methods for parameter identifications in elliptic and parabolic systems	2010	Lijuan Wang Jun Zou	1
+	Numerical identifications of parameters in parabolic systems	1998	Yee Lo Keung Jun Zou	1
+	ON CERTAIN INVERSE PROBLEMS FOR PARABOLIC EQUATIONS WITH FINAL AND INTEGRAL OBSERVATION	1993	A. I. Prilepko A. B. Kostin	1
+ PDF Chat	Inverse Problems for Partial Differential Equations	2017	Victor Isakov	1
+ PDF Chat	Solving inverse-PDE problems with physics-aware neural networks	2021	Samira Pakravan Pouria Mistani Miguel A. Aragón-Calvo Frédéric Gibou	1
+ PDF Chat	DeepXDE: A Deep Learning Library for Solving Differential Equations	2021	Lu Lu Xuhui Meng Zhiping Mao George Em Karniadakis	1
+ PDF Chat	Simultaneous extraction of charge density dependent mobility and variable contact resistance from thin film transistors	2014	Riccardo Di Pietro Deepak Venkateshvaran Andreas Klug Emil List Antonio Facchetti Henning Sirringhaus Dieter Neher	1
+	A-PINN: Auxiliary Physics Informed Neural Networks for Forward and Inverse Problems of Nonlinear Integro-Differential Equations	2022	Lei Yuan Yi-Qing Ni Xiang-Yun Deng Shuo Hao	1
+ PDF Chat	Neural Networks to Solve Partial Differential Equations: A Comparison With Finite Elements	2022	A. Sacchetti Benjamin Bachmann Kaspar Löffel Urs-Martin Künzi Beatrice Paoli	1