From the 1 of 4.4k papers with an AI index.
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- Centre National de la Recherche ScientifiqueFR714 papers
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- California Institute of TechnologyUS401 papers
- Commissariat à l'Énergie Atomique et aux Énergies AlternativesFR359 papers
- Lyon 1 UniversitéFR330 papers
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- Institute for High Energy PhysicsES310 papers
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- Massachusetts Institute of TechnologyUS290 papers
149 papers · 1 filter
Spin-orbit torques and magnetization switching in Gd/Fe multilayers generated by current injection in NiCu alloys
Federica Nasr, Federico Binda, Charles-Henri Lambert +3
Light transition metals have recently emerged as a sustainable material class for efficient spin-charge interconversion. We report measurements of current-induced spin-orbit torque…
Actors in Multi-Sector Transitions -- Discourse Analysis on Hydrogen in Germany
Nils Ohlendorf, Meike Löhr, Jochen Markard
With net-zero emission goals, low-carbon transitions enter a new phase of development, leading to new challenges for policymaking and research. Multiple transitions unfold in paral…
GroomGen: A High-Quality Generative Hair Model Using Hierarchical Latent Representations
Yuxiao Zhou, Menglei Chai, Alessandro Pepe +2
Despite recent successes in hair acquisition that fits a high-dimensional hair model to a specific input subject, generative hair models, which establish general embedding spaces f…
15NH3 in the atmosphere of a cool brown dwarf
David Barrado, Paul Mollière, Polychronis Patapis +40
Brown dwarfs serve as ideal laboratories for studying the atmospheres of giant exoplanets on wide orbits as the governing physical and chemical processes in them are nearly identic…
Comprehensive Overview of Bottom-up Proteomics using Mass Spectrometry
Yuming Jiang, Devasahayam Arokia Balaya Rex, Dina Schuster +16
Proteomics is the large scale study of protein structure and function from biological systems through protein identification and quantification. "Shotgun proteomics" or "bottom-up…
Posterior Contraction Rates for Matérn Gaussian Processes on Riemannian Manifolds
Paul Rosa, Viacheslav Borovitskiy, Alexander Terenin +1
Gaussian processes are used in many machine learning applications that rely on uncertainty quantification. Recently, computational tools for working with these models in geometric…