From the 1 of 4.6k papers with an AI index.
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- Centre National de la Recherche ScientifiqueFR747 papers
- Paul Scherrer InstituteCH468 papers
- University of ZurichCH448 papers
- California Institute of TechnologyUS422 papers
- Commissariat à l'Énergie Atomique et aux Énergies AlternativesFR383 papers
- Lyon 1 UniversitéFR348 papers
- CEA Paris-SaclayFR343 papers
- Institute for High Energy PhysicsES329 papers
- Princeton UniversityUS327 papers
- Istituto Nazionale di Fisica Nucleare, Sezione di PadovaIT313 papers
- European Organization for Nuclear ResearchCH309 papers
- University of PaduaIT306 papers
17 papers · 1 filter
The Non-Eruptive Reconfiguration of a Quiescent Filament After a Nearby Active Region Emergence
James McKevitt, Louise Harra, Gherardo Valori +13
The unpredictability of solar filament eruptions presents major challenges for forecasting space weather, as such eruptions frequently drive coronal mass ejections (CMEs) that impa…
Orthogonal Superposition Rheometry of soft core-shell microgels
Panagiota Bogri, Gabriele Pagani, Jan Vermant +2
The mechanisms of flow in suspensions of soft particles above the glass-transition volume fraction and in the jammed state were probed using Orthogonal Superposition Rheometry (OSR…
DiLLS: Interactive Diagnosis of LLM-based Multi-agent Systems via Layered Summary of Agent Behaviors
Rui Sheng, Yukun Yang, Chuhan Shi +4
Large language model (LLM)-based multi-agent systems have demonstrated impressive capabilities in handling complex tasks. However, the complexity of agentic behaviors makes these s…
Euclid. Properties and performance of the NISP signal estimator
Euclid Collaboration, F. Cogato, B. Kubik +292
The Euclid spacecraft, located at the second Lagrangian point of the Sun-Earth system, hosts the Near-Infrared Spectrometer and Photometer (NISP) instrument. NISP is equipped with…
Acceleration of Atomistic NEGF: Algorithms, Parallelization, and Machine Learning
Mathieu Luisier, Nicolas Vetsch, Alexander Maeder +8
The Non-equilibrium Green's function (NEGF) formalism is a particularly powerful method to simulate the quantum transport properties of nanoscale devices such as transistors, photo…
Machine-Learned Hamiltonians for Quantum Transport Simulation of Valence Change Memories
Chen Hao Xia, Manasa Kaniselvan, Marko Mladenoivić +1
The construction of the Hamiltonian matrix \textbf{H} is an essential, yet computationally expensive step in \textit{ab-initio} device simulations based on density-functional theor…