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1. FAIR AI Models in High Energy Physics

2. Enabling End-to-End Secure Federated Learning in Biomedical Research on Heterogeneous Computing Environments with APPFLx

3. Waveform Modelling for the Laser Interferometer Space Antenna

4. AI ensemble for signal detection of higher order gravitational wave modes of quasi-circular, spinning, non-precessing binary black hole mergers

5. FedCompass: Efficient Cross-Silo Federated Learning on Heterogeneous Client Devices using a Computing Power Aware Scheduler

6. APPFLx: Providing Privacy-Preserving Cross-Silo Federated Learning as a Service

7. APACE: AlphaFold2 and advanced computing as a service for accelerated discovery in biophysics

8. Star Cluster Classification using Deep Transfer Learning with PHANGS-HST

9. Physics-inspired spatiotemporal-graph AI ensemble for the detection of higher order wave mode signals of spinning binary black hole mergers

10. A generative artificial intelligence framework based on a molecular diffusion model for the design of metal-organic frameworks for carbon capture

11. FAIR for AI: An interdisciplinary and international community building perspective.

12. Magnetohydrodynamics with Physics Informed Neural Operators

13. End-to-end AI framework for interpretable prediction of molecular and crystal properties

14. FAIR AI Models in High Energy Physics

15. Numerical relativity higher order gravitational waveforms of eccentric, spinning, non-precessing binary black hole mergers

16. FAIR for AI: An interdisciplinary and international community building perspective

17. MLGWSC-1: The first Machine Learning Gravitational-Wave Search Mock Data Challenge

18. FAIR principles for AI models with a practical application for accelerated high energy diffraction microscopy

19. Applications of physics informed neural operators

20. Interpreting a Machine Learning Model for Detecting Gravitational Waves

21. Inference-optimized AI and high performance computing for gravitational wave detection at scale

23. AI and extreme scale computing to learn and infer the physics of higher order gravitational wave modes of quasi-circular, spinning, non-precessing binary black hole mergers

24. Interpretable AI forecasting for numerical relativity waveforms of quasi-circular, spinning, non-precessing binary black hole mergers

25. Acute phase characteristics and long-term complications of pulmonary embolism in COVID-19 compared to non-COVID-19 cohort: a large single-centre study

26. A FAIR and AI-ready Higgs boson decay dataset

27. Star Cluster Classification in the PHANGS-HST Survey: Comparison between Human and Machine Learning Approaches

28. All-sky Search for Continuous Gravitational Waves from Isolated Neutron Stars in the Early O3 LIGO Data

29. Observation of gravitational waves from two neutron star-black hole coalescences

30. Searches for continuous gravitational waves from young supernova remnants in the early third observing run of Advanced LIGO and Virgo

31. Search for lensing signatures in the gravitational-wave observations from the first half of LIGO-Virgo's third observing run

32. Advances in Machine and Deep Learning for Modeling and Real-time Detection of Multi-Messenger Sources

33. Constraints from LIGO O3 data on gravitational-wave emission due to r-modes in the glitching pulsar PSR J0537-6910

34. Search for anisotropic gravitational-wave backgrounds using data from Advanced LIGO and Advanced Virgo's first three observing runs

35. Upper Limits on the Isotropic Gravitational-Wave Background from Advanced LIGO's and Advanced Virgo's Third Observing Run

36. Constraints on cosmic strings using data from the third Advanced LIGO-Virgo observing run

37. Diving below the spin-down limit: Constraints on gravitational waves from the energetic young pulsar PSR J0537-6910

38. All-sky search in early O3 LIGO data for continuous gravitational-wave signals from unknown neutron stars in binary systems

39. Accelerated, Scalable and Reproducible AI-driven Gravitational Wave Detection

40. Deep Learning with Quantized Neural Networks for Gravitational Wave Forecasting of Eccentric Compact Binary Coalescence

41. Initial Data and Eccentricity Reduction Toolkit for Binary Black Hole Numerical Relativity Waveforms

42. Deep Learning Ensemble for Real-time Gravitational Wave Detection of Spinning Binary Black Hole Mergers

43. Tests of General Relativity with Binary Black Holes from the second LIGO-Virgo Gravitational-Wave Transient Catalog

44. Population Properties of Compact Objects from the Second LIGO-Virgo Gravitational-Wave Transient Catalog

45. GWTC-2: Compact Binary Coalescences Observed by LIGO and Virgo During the First Half of the Third Observing Run

46. Search for Gravitational Waves Associated with Gamma-Ray Bursts Detected by Fermi and Swift During the LIGO-Virgo Run O3a

47. Deep learning for gravitational wave forecasting of neutron star mergers

48. Properties and astrophysical implications of the 150 Msun binary black hole merger GW190521

49. GW190521: A Binary Black Hole Merger with a Total Mass of $150 ~ M_{\odot}$

50. Observation of eccentric binary black hole mergers with second and third generation gravitational wave detector networks

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