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Effect of Deposition Pressure on the Superconductivity of Ti40V60 Alloy Thin Films
Shekhar Chandra Pandey, Shilpam Sharma, R. Venkatesh, L. S. Sharath Chandra, M. K. Chattopadhyay
https://arxiv.org/abs/2509.25772

Effect of Deposition Pressure on the Superconductivity of Ti40V60 Alloy Thin Films
The growth and characterization of high quality superconducting thin films is essential for fundamental understanding and also for the use of these films in technological applications. In the present study, Ti40V60 alloy thin films have been deposited using DC magnetron co sputtering of Ti and V at ambient temperatures. The effect of deposition pressure on the film morphology, superconducting and normal state properties has been studied. Measurement of electrical resistance as a function of tem…

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sometimes I'm following the clues, sometimes the clues are pushing me, today felt like the latter.

The Conductor and the Engine: A Path Towards Co-Designed Reasoning
Yuanxin Wang, Pawel Filipczuk, Anisha Garg, Amaan Dhada, Mohammad Hassanpour, David Bick, Ganesh Venkatesh
https://arxiv.org/abs/2509.19762

The Conductor and the Engine: A Path Towards Co-Designed Reasoning
Modern LLM reasoning relies on extensive test-time computation, driven by internal model training and external agentic orchestration. However, this synergy is often inefficient, as model verbosity and poor instruction following lead to wasted compute. We analyze this capability-cost trade-off and introduce an optimized reasoning workflow (\cepo) that empowers smaller open-source models to outperform models multiple times their size. We will open-source this workflow to enable further research. …

JOBS> H-Net Job Guide Weekly Report for H-Buddhism: 21 September - 28 September
https://ift.tt/mxZTfD9
Lessons for the Upcoming Age of Climate Refugees: Next meeting of the ASLH Environment, Law, and…
via Input 4 RELCFP

Quantitative Nonlinear Optical Polarimetry with High Spatial Resolution
Albert Suceava, Sankalpa Hazra, Jadupati Nag, John Hayden, Safdar Imam, Zhiwen Liu, Abishek Iyer, Mercouri Kanatzidis, Susan Trolier-McKinstry, Jon-Paul Maria, Venkatraman Gopalan
https://arxiv.org/abs/2507.23050

Quantitative Nonlinear Optical Polarimetry with High Spatial Resolution
Nonlinear optical microscopy such as in the optical second-harmonic generation (SHG) modality has become a popular tool today for probing materials in the physical and biological sciences. While imaging and spectroscopy are widely used in the microscopy mode, nonlinear polarimetry, which can shed light on materials' symmetry and microstructure, is relatively underdeveloped. This is partly because quantitative analytical modeling of the optical SHG response for anisotropic crystals and films lar…

Introduction to the relative Langlands program
Rapha\"el Beuzart-Plessis
https://arxiv.org/abs/2509.18062 https://arxiv.org/pdf/2509.18062

Introduction to the relative Langlands program
The aim of these notes is to give an overview of several aspects of what has come to be called the relative Langlands program, a theme that takes its origin in the study of automorphic periods and their relations to particular cases of Langlands functoriality and special values of (automorphic) $L$-functions. Following the work of Sakellaridis and Sakellaridis-Venkatesh, we emphasize the unifying role played by spherical varieties and harmonic analysis on them. We also review various instances …

The Conductor and the Engine: A Path Towards Co-Designed Reasoning
Yuanxin Wang, Pawel Filipczuk, Anisha Garg, Amaan Dhada, Mohammad Hassanpour, David Bick, Ganesh Venkatesh
https://arxiv.org/abs/2509.19762

The Conductor and the Engine: A Path Towards Co-Designed Reasoning
Modern LLM reasoning relies on extensive test-time computation, driven by internal model training and external agentic orchestration. However, this synergy is often inefficient, as model verbosity and poor instruction following lead to wasted compute. We analyze this capability-cost trade-off and introduce an optimized reasoning workflow (\cepo) that empowers smaller open-source models to outperform models multiple times their size. We will open-source this workflow to enable further research. …