Moving forward, significant work remains on both computational and experimental fronts. For example, an ability to directly model the PCT curves of a proposed HEA with DFT-level accuracy would provide a step change improvement in the predictive capabilities and better direct experimental efforts. The continued acquisition and integration of literature experiments into the training data will be paramount for continued improvement of the compositional model, especially in property space with low amounts of data. On the experimental front, higher-throughput efforts to obtain metal hydride thermodynamics (without relying on time-intensive PCT measurements) could further accelerate the validation of Pareto optimal hydrides, provide more data for improved ML models, and even allow active learning feedback loops between ML and experiment for optimal materials design. supported by the Laboratory Directed Research and Development (LDRD) program at Sandia National Laboratories. Sandia National Laboratories is a multimission laboratory managed and operated by National Technology & Engineering Solutions of Sandia, LLC, a wholly owned subsidiary of Honeywell International Inc., for the U.S. Department of Energy's National Nuclear Security Administration under contract DE-NA0003525. This paper describes objective technical results and analysis. Any subjective views or opinions that might be expressed in the paper do not necessarily represent the views of the U.S. Department of Energy or the United States Government. G.E and M.S acknowledges funding from NordForsk through the project "Neutrons for multi-functional hydrides -FunHy" (project Nr. 81492), as well as additional funding from Olle Engkvists Stiftelse (project Nr. 218-0055) and ÅForsk. Work at the University of Nottingham is supported by EPSRC (EP/V042556/1). We acknowledge the use of the Athena supercomputer through the HPC Midlands+ Consortium, and the ARCHER supercomputer through membership of the UK's HPC Materials Chemistry Consortium, which are funded by EPSRC Grants No. EP/P020232/1 and No. EP/R029431/1, respectively.