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1. Probing Na in giant exoplanets with ESPRESSO and 3D NLTE stellar spectra

2. The GALAH Survey: Data Release 4

3. Titanium abundances in late-type stars, II. Grid of departure coefficients and application to a sample of $70\,000$ stars

4. The Gaia-ESO Survey: The DR5 analysis of the medium-resolution GIRAFFE and high-resolution UVES spectra of FGK-type stars

5. 3D non-LTE modeling of the stellar center-to-limb variation for transmission spectroscopy studies

6. The Gaia-ESO Survey: homogenisation of stellar parameters and elemental abundances

7. Raising the observed metallicity floor with a 3D non-LTE analysis of SDSS J102915.14+172927.9

8. Titanium abundances in late-type stars I. 1D non-local thermodynamic equilibrium modelling in benchmark dwarfs and giants

9. The Gaia-ESO Survey: Lithium measurements and new curves of growth

10. The Gaia-ESO Public Spectroscopic Survey: Motivation, implementation, GIRAFFE data processing, analysis, and final data products

11. Non-LTE abundance corrections for late-type stars from 2000{\AA} to 3{\mu}m: I. Na, Mg, and Al

12. The Gaia-ESO Public Spectroscopic Survey: Implementation, data products, open cluster survey, science, and legacy

13. Non-detection of $^6$Li in Spite plateau stars with ESPRESSO

14. High resolution spectroscopic follow-up of the most metal-poor candidates from SkyMapper DR1.1

15. R-Process elements from magnetorotational hypernovae

16. The GALAH survey: effective temperature calibration from the InfraRed Flux Method in the Gaia system

17. Exploring the Galaxy's halo and very metal-weak thick disk with SkyMapper and Gaia DR2

18. 3D NLTE spectral line formation of lithium in late-type stars

19. The GALAH Survey: Non-LTE departure coefficients for large spectroscopic surveys

20. The Gaia-ESO Survey: Spectroscopic-asteroseismic analysis of K2 stars in Gaia-ESO

21. The GALAH survey: Multiple stars and our Galaxy. I. A comprehensive method for deriving properties of FGK binary stars

22. Spectral diagnostics of late-type stars: Non-LTE and approach

23. The GALAH Survey: Temporal Chemical Enrichment of the Galactic Disk

24. The SkyMapper DR1.1 Search for Extremely Metal-Poor Stars

25. The lowest detected stellar Fe abundance: The halo star SMSS J160540.18-144323.1

26. 4MOST Consortium Survey 4: Milky Way Disc and Bulge High-Resolution Survey (4MIDABLE-HR)

27. 4MOST: Project overview and information for the First Call for Proposals

28. 4MOST Scientific Operations

29. 4MOST Consortium Survey 2: The Milky Way Halo High-Resolution Survey

30. Keck HIRES Spectroscopy of SkyMapper Commissioning Survey Candidate Extremely Metal-Poor Stars

31. Ca line formation in late-type stellar atmospheres: I. The model atom

32. Carbon and oxygen in metal-poor halo stars

33. The Gaia-ESO Survey: properties of newly discovered Li-rich giants

34. The GALAH Survey: Second Data Release

35. The GALAH survey: An abundance, age, and kinematic inventory of the solar neighbourhood made with TGAS

36. Effective temperature determinations of late-type stars based on 3D non-LTE Balmer line formation

37. Accurate effective temperatures of the metal-poor benchmark stars HD 140283, HD 122563 and HD 103095 from CHARA interferometry

38. The GALAH survey: properties of the Galactic disk(s) in the solar neighbourhood

39. The Gaia-ESO Survey: Churning through the Milky Way

40. The Gaia -ESO Survey: Lithium enrichment histories of the Galactic thick and thin disc

41. The Gaia-ESO Survey: Exploring the complex nature and origins of the Galactic bulge populations

42. Non-LTE line formation of Fe in late-type stars IV: Modelling of the solar centre-to-limb variation in 3D

43. The Gaia-ESO Survey: the present-day radial metallicity distribution of the Galactic disc probed by pre-main-sequence clusters

44. Sun-like stars unlike the Sun: Clues for chemical anomalies of cool stars

48. Core-binding factor leukemia hijacks the T-cell–prone PU.1 antisense promoter

49. Non-LTE line formation of Fe in late-type stars - III. 3D non-LTE analysis of metal-poor stars

50. A new algorithm for optimizing the wavelength coverage for spectroscopic studies: Spectral Wavelength Optimization Code (SWOC)

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