Acknowledgments

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+I would like to thank all of my family, friends, and collaborators who supported me along the way, with the spotlight given to my parents, \textbf{Mikołaj Krajewski} and \textbf{Izabella Krajewska}, without whom I wouldn't (statistically) become a scientist, let alone become a \emph{doctor}. However, the degree is just a classifier in a database sowmehere without being backed by science created while completing it, thus I would like to thank my advisor, \textbf{Zi-Kui Liu}, for guiding me over the last 5 years of exceptionally productive research that pushed me to \emph{do better than my best}.
 
-I would like to 
+I would like to thank my colleagues who, to the best of their abilities, kept me from falling into an abys of scientific insanity, by hours spent on less-technical conversations. In particular, but in not particular order, I would like to acknowledge several of them, who regularly attended my weekly office hours over the years: Stephen Holoviak, Alexander Richter, Luke Myers, Cooper Pan, Curtis Warner, Ian Cunningham, James Ricardo, Ellie Franklin, Hamdan Almarzooqi, Jorge Paz Soldan Palma, Brandon Bocklund, and Stephanie Castro Baldivieso.
 
-This work was made possible by the financial support and training provided by US Department of Energy (DOE) via Awards DE-FE0031553 and DE-EE0008456, DOE Advanced Research Projects Agency-Energy (ARPA-E) via DE-AR0001435, the DOE BES (Theoretical Condensed Matter Physics) via DE-SC0023185, US Office of Naval Research (ONR) via N00014-17-1-2567 and N00014-23-2721, The Pennsylvania State University via ICDS Seed Grant, US National Science Foundation (NSF) via CMMI-1825538, and Pathways to Enable Open-Source Ecosystems (POSE) via FAIN-2229690. Any opinions, findings, and conclusions or recommendations expressed in this publication are those of the author and do not necessarily reflect the views of the funding agencies.
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-\todo
-
-General:\\
-I would like to thank Gonville \& Caius College at the University of Cambridge and Dr. Gareth Conduit for generously hosting me as a visiting postgraduate student during the writing of this publication, and Peter and Carol Thrower for sponsoring the fellowship.
-
-LLNL:\\
-I would like to thank Aurelien Perron, Brandon Bocklund, Kate Elder, Joseph McKeown, and other amazing colleagues from Materials Science Division at Lawrence Livermore National Lab (LLNL) for having the opportunity of working with them on solving challenging problems with great implementation flexibility which prompted me to deepen my understanding of highly dimensional design spaces, without which some of the work in this dissertation would never happen.
+I would like to thank my Lawrence Livermore National Lab colleagues Aurelien Perron, Brandon Bocklund, Kate Elder, Joseph McKeown, and other amazing colleagues from Materials Science Division at Lawrence Livermore National Lab (LLNL) for having the opportunity of working with them on solving challenging problems with great implementation flexibility which prompted me to deepen my understanding of highly dimensional design spaces, without which some of the work in this dissertation would never happen.
 
-SIPFENN:\\
-I would like to thank Zhengqi Liu for his help implementing the graphical user interface, Dr. ShunLi Shang for providing the Fe-Cr-Ni $\sigma$-phase dataset, and Brandon Bocklund for providing the SQS dataset.
+On the software side, I would like to thank (1) Jinchao Xu from PSU/KAUST for his contribution to the development of SIPFENN; (2) Richard Otis and Brandon Bocklund from Materials Genome Foundation for supporting this work since 2019 in a variety of ways, including invaluable guidance in organizing community workshops; (3) Ricardo Amaral and Luke Myers for testing a lot of my work; (4) 
 
-pySIPFENN:\\
-I would like to thank (1) Jinchao Xu from PSU/KAUST for his contribution to the development of SIPFENN, published in \cite{Krajewski2022ExtensibleNetworks}; (2) Richard Otis and Brandon Bocklund from Materials Genome Foundation for supporting this work since 2019 in a variety of ways, including invaluable guidance in organizing community workshops; (3) Ricardo Amaral for testing; (4) Rushi Gong, Shuang Lin, ShunLi Shang, Hui Sun, Alexander Richter, and Luke Myers from Phases Research Lab at PSU, Kate Elder from Lawrence Livermore National Lab, and others for providing feedback when testing the \texttt{pySIPFENN} software.
-
-nimplex:\\
-Adam M. Krajewski 
-I would also like to thank \textbf{Luke Myers} and \textbf{Ricardo Amaral} for testing code exercises and proofreading the documentation.
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-nimCSO:\\
-I would also like to acknowledge Dr. Jonathan Siegel at Texas A\&M University for several valuable discussions and feedback on the project.
-
-crystALL:\\
-Rushi Gong, Ricardo Amaral, ShunLi Shang 
+In the Fall of 2023, I had an opportunity to be Visiting PhD Student at the University of Cambridge, for which I am very grateful to Gonville \& Caius College invited me, and Dr. Gareth Conduit for generously sponsored said invitation, as well as Peter and Carol Thrower for sponsoring the fellowship enabling this travel.
 
+This work was made possible by the financial support and training provided by US Department of Energy (DOE) via Awards DE-FE0031553 and DE-EE0008456, DOE Advanced Research Projects Agency-Energy (ARPA-E) via DE-AR0001435, the DOE BES (Theoretical Condensed Matter Physics) via DE-SC0023185, US Office of Naval Research (ONR) via N00014-17-1-2567 and N00014-23-2721, The Pennsylvania State University via ICDS Seed Grant, US National Science Foundation (NSF) via CMMI-1825538, and Pathways to Enable Open-Source Ecosystems (POSE) via FAIN-2229690. Any opinions, findings, and conclusions or recommendations expressed in this publication are those of the author and do not necessarily reflect the views of the funding agencies.
 
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