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Thesis - PhD (1067)
2022
Thesis - PhD
Felsen, Frederic: Optimal experimental designs for the exploration of reaction kinetic phase diagrams.
Thesis - PhD
Grabarics, Márkó: Glycan analysis using mass spectrometry-based techniques.
Thesis - PhD
Grosu, Cristina: Capturing ion dynamics in lithium intercalated graphite: bridging the gap between experiment and theory through advanced nuclear magnetic resonance and multiscale modeling.
Thesis - PhD
Heitz, Julius: Spintronic operations driven by terahertz electromagnetic pulses.
Thesis - PhD
Knoop, Florian: Heat transport in strongly anharmonic solids from first principles.
Thesis - PhD
Lee, Sang-Eun: Systematic study of the role of the indirect RKKY exchange interaction in ultrafast spin dynamics of 4ƒ antiferromagnets.
Thesis - PhD
Lee, Yonghyuk: Discoveries in Ruthenium Oxide-Based Catalysts: From Morphology Control for Water Electrolysis to Surface Structure Determination via Machine-Learning.
Thesis - PhD
Leitherer, Andreas: Robust recognition and exploratory analysis of crystal structures using machine learning.
Thesis - PhD
Lenz-Himmer, Maja-Olivia and Matthias Scheffler: Towards efficient novel materials discovery: Acceleration of high-throughput calculations and semantic management of big data using ontologies.
Thesis - PhD
Lettow, Maike: Fucosylated and Sulfated Glycans Investigated using Cryogenic Infrared Spectroscopy.
Thesis - PhD
Malerz, Sebastian: Advances in Liquid-Jet Photoelectron Spectroscopy: Determination of Absolute Energetics and Probing Chirality in Solution.
Thesis - PhD
Regler, Benjamin: Systematic identification of relevant features for the statistical modeling of materials properties of crystalline solids.
Thesis - PhD
Staacke, Carsten: The Electrostatic Gap: Combining Electrostatic Models with Machine Learning Potentials.
Thesis - PhD
Stegmaier, Sina: Working Interfaces in Solid-State Electrolytes: A Theoretical Approach towards Realistic Models.
Thesis - PhD
Stocker, Sina: Transferability in chemical machine learning.
Thesis - PhD
Timmermann, Jakob: Iridiumoxid as catalyst in water electrolysis: identification of novel surface structures via machine learning.
Thesis - PhD
Türk, Hanna: Active Site Generation and Deactivation of the Air Electrode in High Temperature Solid Oxide Cells.
Thesis - PhD
Wengert, Simon: Kernel-based machine learning for molecular crystal structure prediction.
Thesis - PhD
Xu, Wenbin: Tailoring complexity for catalyst discovery using physically motivated machine learning.
Thesis - PhD
Yuan, Zhenkun: Electrical conductivity from first principles.