Add 3 PhD theses from LNM

_bibliography/phdtheses.bib

@@ -3,6 +3,39 @@
 References
 ==========
 
+@phdthesis{Proell2025,
+  author   = {Pröll, Sebastian David},
+  school   = {Technische Universität München},
+  title    = {{C}omputational {M}ethods for the {E}fficient {S}imulation of {M}etal {A}dditive {M}anufacturing {P}rocesses on the {S}cale of {R}eal {P}arts},
+  year     = {2025},
+  abstract = {Additive manufacturing of metals is a rapidly growing field with unique challenges due to complex thermo-physical interactions. This thesis proposes efficient numerical models to simulate these processes, focusing on thermo-mechanics and microstructural evolution equations. Novel modeling choices and efficient implementation techniques lead to a high performance and enable scan-resolved simulations on real parts. In the future, the developed methods allow optimizing the process for specific applications and exploring new processing regimes.},
+  language = {en},
+  pages    = {179},
+  url      = {<a href="https://mediatum.ub.tum.de/1752839">https://mediatum.ub.tum.de/1752839</a>},
+}
+
+@phdthesis{Sinzig2025,
+  author   = {Sinzig, Stephan},
+  school   = {Technische Universität München},
+  title    = {Efficient models for electrochemical phenomena at interfaces in solid-state batteries},
+  year     = {2025},
+  abstract = {Electrochemical phenomena at interfaces between different components of a solid-state battery strongly influence the performance of the battery. This dissertation introduces novel models that include a priori knowledge of the physics at these extremely thin interfaces and, thereby, reduce the required computational effort. This enables the analysis of the interplay of the interface phenomena with those inside of the components of geometrically complex microstructures of a battery and supports the targeted development of future battery designs.},
+  language = {en},
+  pages    = {210},
+  url      = {<a href="https://mediatum.ub.tum.de/1752729">https://mediatum.ub.tum.de/1752729</a>},
+}
+
+@phdthesis{Wirthl2024,
+  author   = {Wirthl, Barbara},
+  school   = {Technische Universität München},
+  title    = {Physics-based and probabilistic computational approaches for nanomedicine in oncology},
+  year     = {2024},
+  abstract = {The response to treatment of solid tumours is a multifaceted process: in addition to biological factors, the physical properties of the tumour cells and their microenvironment are key determinants. A computational physics-based model, which can capture these different factors and their interaction, is developed to model nanomedicine transport and integrated with probabilistic approaches to sensitivity analysis and calibration to bridge the gap to experimental data.},
+  language = {en},
+  pages    = {159},
+  url      = {<a href="https://mediatum.ub.tum.de/1730753">https://mediatum.ub.tum.de/1730753</a>},
+}
+
 @phdthesis{Hagmeyer2023,
   author = {Hagmeyer, Nora},
   school = {Universität der Bundeswehr München},