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1. Einstein Toolkit

   https://doi.org/10.1007/978-981-97-8522-3_6  

   Cupp, Samuel; Brandt, Steven R; Sanches, Lucas T; Haas, Roland; Werneck, Leonardo R; Mösta, Philipp (January 2025, Springer Nature Singapore)
2. Homogeneous Einstein manifolds

   https://doi.org/10.33044/revuma.3588  

   Jablonski, Michael (August 2023, Revista de la Unión Matemática Argentina)

   This survey builds on the two surveys by Wang and Lauret, written 10–15 years ago, to give the current state of affairs regarding homogeneous Einstein spaces. 

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3. Twisted Kähler–Einstein metrics

   https://doi.org/10.4310/PAMQ.2021.v17.n3.a8  

   Ross, Julius; Székelyhidi, Gábor (January 2021, Pure and Applied Mathematics Quarterly)

   null (Ed.)
4. Twisted Kähler–Einstein metrics

   Ross, Julius; Székelyhidi, Gábor (January 2021, Pure and applied mathematics quarterly)

   null; Tosatti, Valentino; Weinkove, Ben (Ed.)

   We prove an existence result for twisted Kähler–Einstein metrics, assuming an appropriate twisted K‑stability condition. An improvement over earlier results is that certain non-negative twisting forms are allowed. 

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5. The Einstein Toolkit Tutorial Server

   https://doi.org/10.5281/zenodo.10028524  

   Brandt, Steven; Haas, Roland (October 2023, Science Gateways 2023 Annual Conference)

   The Einstein Toolkit is a complex software system for numerical general relativity, a science domain that includes colliding black holes, neutron stars, supernovae, etc. As might be expected for a framework of this size and age (parts of it are over 20 years old), there is a significant learning curve to building it, running it, writing new modules for it, etc. Over the years, the Einstein Toolkit maintainers have given a number of tutorials for new users. In recent years, we have created a tutorial server which allows us to streamline the teaching/learning process through the use of Jupyter notebooks and docker images. In this paper we describe the special considerations and adaptations required by the image and the notebook server that enable us to (1) easily make logins and manage accounts which streamlines both the classroom and the independent study experiences, (2) create a simplified but natural user experience for compiling and developing a complex C++ application, (3) scale to increasing class sizes. 

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