Tootfinder

Période : de 23h jusqu'Š fin de soirée.
Dates : du lundi 02 juin au vendredi 04 juillet (sauf les samedis et dimanches).
Le trafic est interrompu ente Paris Austerlitz et Juvisy via Choisy le Roi :
- Dernier train au départ de Juvisy pour Paris Austerlitz Š 22h29.
- Dernier train au départ de Paris Austerlitz pour Juvisy Š 22h36.
Un service de bus de remplacement est mis en place, avec desserte des gares intermédiaires.
Les horaires du calculateur d'i…

Mesoscale FEM Model of Concrete: Statistical Assessment of Inherent Stress Concentrations in Dependence on Phase Heterogeneity
Jan Ma\v{s}ek (Institute of Physics of Materials, Czech Academy of Sciences, Brno, Czech Republic, Institute of Structural Mechanics, Faculty of Civil Engineering, Brno University of Technology, Brno, Czech Republic), Petr Miarka (Institute of Physics of Materials, Czech Academy of Sciences, Brno, Czech Republic, Institute of Structural Mechanics, Faculty of Ci…

Mesoscale FEM Model of Concrete: Statistical Assessment of Inherent Stress Concentrations in Dependence on Phase Heterogeneity
Concrete heterogeneity originates from its production process, which involves bonding aggregates with a binder matrix. This study presents a mesoscale finite element model (MFEM) that offers detailed insights into the fracture process at the aggregate-cement matrix interface, focusing on one of concrete's key properties: its mechanical response. Unlike discrete models, which often average out critical stress concentrations within the mesostructure, the MFEM approach captures detailed stress dis…

Fast solvers for the high-order FEM simplicial de Rham complex
Pablo D. Brubeck, Patrick E. Farrell, Robert C. Kirby, Charles Parker
https://arxiv.org/abs/2506.17406

Fast solvers for the high-order FEM simplicial de Rham complex
We present new finite elements for solving the Riesz maps of the de Rham complex on triangular and tetrahedral meshes at high order. The finite elements discretize the same spaces as usual, but with different basis functions, so that the resulting matrices have desirable properties. These properties mean that we can solve the Riesz maps to a given accuracy in a $p$-robust number of iterations with $\mathcal{O}(p^6)$ flops in three dimensions, rather than the naïve $\mathcal{O}(p^9)$ flops. T…

A B-Spline Finite Element Method for Cloth Simulation
Yuqi Meng, Yihao Shi, Kemeng Huang, Ning Guo, Taku Komura, Yin Yang, Minchen Li
https://arxiv.org/abs/2506.18867

A B-Spline Finite Element Method for Cloth Simulation
We present a B-spline finite element method (FEM) for cloth simulation. Building on quadratic B-spline basis functions, our method provides a globally $C^1$-continuous displacement field, enabling consistent and accurate discretization of both membrane and bending energies. This smooth representation effectively mitigates locking artifacts and mesh dependency issues commonly observed with linear FEM. To further improve efficiency, we develop a reduced integration scheme that separately optimize…

Basal layer of granular flow down smooth and rough inclines: kinematics, slip laws and rheology
Teng Wang, Lu Jing, Fiona C. Y. Kwok, Yuri D. Sobral, Thomas Weinhart, Anthony R. Thornton
https://arxiv.org/abs/2506.17920

Basal layer of granular flow down smooth and rough inclines: kinematics, slip laws and rheology
Granular flow down an inclined plane is ubiquitous in geophysical and industrial applications. On rough inclines, the flow exhibits Bagnold's velocity profile and follows the so-called $μ(I)$ local rheology. On insufficiently rough or smooth inclines, however, velocity slip occurs at the bottom and a basal layer with strong agitation emerges below the bulk, which is not predicted by the local rheology. Here, we use discrete element method simulations to study detailed dynamics of the basal lay…

Don't Make It Up: Preserving Ignorance Awareness in LLM Fine-Tuning
William F. Shen, Xinchi Qiu, Nicola Cancedda, Nicholas D. Lane
https://arxiv.org/abs/2506.14387

Don't Make It Up: Preserving Ignorance Awareness in LLM Fine-Tuning
Existing work on mitigating catastrophic forgetting in large language model (LLM) fine-tuning has primarily focused on preserving specific data or tasks, while critically overlooking the degradation of essential capabilities instilled through safety alignment, particularly the model's ability to faithfully express ignorance. In this work, we show that this capability is significantly degraded during conventional fine-tuning, leading to undesired behaviors such as hallucinations. To address this…

Coincident Learning for Beam-based RF Station Fault Identification Using Phase Information at the SLAC Linac Coherent Light Source
Jia Liang, William Colocho, Franz-Josef Decker, Ryan Humble, Ben Morris, Finn H. O'Shea, David A. Steele, Zhe Zhang, Eric Darve, Daniel Ratner
https://arxiv.org/abs/2505.16052

Coincident Learning for Beam-based RF Station Fault Identification Using Phase Information at the SLAC Linac Coherent Light Source
Anomalies in radio-frequency (RF) stations can result in unplanned downtime and performance degradation in linear accelerators such as SLAC's Linac Coherent Light Source (LCLS). Detecting these anomalies is challenging due to the complexity of accelerator systems, high data volume, and scarcity of labeled fault data. Prior work identified faults using beam-based detection, combining RF amplitude and beam-position monitor data. Due to the simplicity of the RF amplitude data, classical methods ar…

Skew-Induced Insertion Loss Deviation (SILD) and FOM_SILD: Metrics for Quantifying P/N Skew Effects in High-Speed Channels
David Nozadze, Zurab Kiguradze, Amendra Koul, Mike Sapozhnikov
https://arxiv.org/abs/2506.15105

Skew-Induced Insertion Loss Deviation (SILD) and FOM_SILD: Metrics for Quantifying P/N Skew Effects in High-Speed Channels
The rise of AI workloads and growing data center demands have driven the need for ultra-high-speed interconnects exceeding 200 Gb/s. As unit intervals (UI) shrink, even a few picoseconds of P/N skew can degrade serializer-deserializer (SerDes) performance. Traditional methods for quantifying skew fall short in capturing its impact. We introduce two new metrics: 1) Skew-Induced Insertion Loss Deviation (SILD) and 2) its complementary Figure of Merit (FOM_SILD), analytically developed to assess P…

Période : de 23h jusqu'Š fin de soirée.
Dates : du lundi 02 juin au vendredi 04 juillet (sauf les samedis et dimanches).
Le trafic est interrompu ente Paris Austerlitz et Juvisy via Choisy le Roi :
- Dernier train au départ de Juvisy pour Paris Austerlitz Š 22h29.
- Dernier train au départ de Paris Austerlitz pour Juvisy Š 22h36.
Un service de bus de remplacement est mis en place, avec desserte des gares intermédiaires.
Les horaires du calculateur d'i…

Période : de 23h jusqu'Š fin de soirée.
Dates : du lundi 02 juin au vendredi 04 juillet (sauf les samedis et dimanches).
Le trafic est interrompu ente Paris Austerlitz et Juvisy via Choisy le Roi :
- Dernier train au départ de Juvisy pour Paris Austerlitz Š 22h29.
- Dernier train au départ de Paris Austerlitz pour Juvisy Š 22h36.
Un service de bus de remplacement est mis en place, avec desserte des gares intermédiaires.
Les horaires du calculateur d'i…