Search: Proximity - ai.jp.net

Research Paper #Superconductivity, Topological Insulators, Condensed Matter Physics 🔬 ResearchAnalyzed: Jan 3, 2026 09:25

Proximity Effect in SSH-Superconductor Junction

Published:Dec 30, 2025 22:53

•

1 min read

•

ArXiv

Analysis

This paper investigates the interaction between a superconductor and a one-dimensional topological insulator (SSH chain). It uses functional integration to model the interaction and analyzes the resulting quasiparticle excitation spectrum. The key finding is the stability of SSH chain states within the superconducting gap for bulk superconductors, contrasted with the finite lifetimes induced by phase fluctuations in lower-dimensional superconductors. This research is significant for understanding the behavior of topological insulators in proximity to superconductors, which is crucial for potential applications in quantum computing and other advanced technologies.

Key Takeaways

•Investigates the interaction between a superconductor and an SSH chain (1D topological insulator).
•Uses functional integration to model the interaction and analyze the quasiparticle excitation spectrum.
•Finds stability of SSH chain states within the superconducting gap for bulk superconductors.
•Identifies finite lifetimes due to phase fluctuations in lower-dimensional superconductors.
•Relevant for understanding topological insulators in proximity to superconductors and potential applications.

Reference

“The paper finds that for bulk superconductors, the states of the chain are stable for energies lying inside the superconducting gap while in lower-dimensional superconductors phase fluctuations yield finite temperature-dependent lifetimes even inside the gap.”

Permalink ArXiv

Research Paper #Superconductivity, Spin-Orbit Coupling, Condensed Matter Physics 🔬 ResearchAnalyzed: Jan 3, 2026 15:44

Semiclassical Theory for Proximity-Induced Superconducting Systems

Published:Dec 30, 2025 14:07

•

1 min read

•

ArXiv

Analysis

This paper develops a semiclassical theory to understand the behavior of superconducting quasiparticles in systems where superconductivity is induced by proximity to a superconductor, and where spin-orbit coupling is significant. The research focuses on the impact of superconducting Berry curvatures, leading to predictions about thermal and spin transport phenomena (Edelstein and Nernst effects). The study is relevant for understanding and potentially manipulating spin currents and thermal transport in novel superconducting materials.

Key Takeaways

•Develops a semiclassical theory for proximity-induced superconducting systems.
•Focuses on the role of spin-orbit coupling.
•Reveals superconducting Berry curvatures.
•Predicts thermal Edelstein and spin Nernst effects.
•Applies the theory to systems with Rashba spin-orbit coupling, proximity-induced superconductivity, and ferromagnetic order.

Reference

“The paper reveals the structure of superconducting Berry curvatures and derives the superconducting Berry curvature induced thermal Edelstein effect and spin Nernst effect.”

Permalink ArXiv

Research Paper #3D Reconstruction, Computer Vision, Spacecraft, Gaussian Splatting 🔬 ResearchAnalyzed: Jan 3, 2026 18:21

3D Spacecraft Structure Reconstruction with Dynamic Lighting

Published:Dec 30, 2025 05:35

•

1 min read

•

ArXiv

Analysis

This paper addresses the challenge of reconstructing 3D models of spacecraft using 3D Gaussian Splatting (3DGS) from images captured in the dynamic lighting conditions of space. The key innovation is incorporating prior knowledge of the Sun's position to improve the photometric accuracy of the 3DGS model, which is crucial for downstream tasks like camera pose estimation during Rendezvous and Proximity Operations (RPO). This is a significant contribution because standard 3DGS methods often struggle with dynamic lighting, leading to inaccurate reconstructions and hindering tasks that rely on photometric consistency.

Key Takeaways

•Proposes a novel pipeline for 3D spacecraft structure reconstruction using 3D Gaussian Splatting.
•Addresses the challenge of dynamic lighting conditions in spaceborne imagery.
•Incorporates prior knowledge of the Sun's position to improve photometric accuracy.
•Improves camera pose estimation during Rendezvous and Proximity Operations (RPO).

Reference

“The paper proposes to incorporate the prior knowledge of the Sun's position...into the training pipeline for improved photometric quality of 3DGS rasterization.”

Permalink ArXiv

Research Paper #Superconductivity, Materials Science, Strain Engineering 🔬 ResearchAnalyzed: Jan 3, 2026 18:34

Strain Engineering for High-Temperature Superconductivity in La3Ni2O7

Published:Dec 29, 2025 17:39

•

1 min read

•

ArXiv

Analysis

This paper investigates how strain can be used to optimize the superconducting properties of La3Ni2O7 thin films. It uses density functional theory to model the effects of strain on the electronic structure and superconducting transition temperature (Tc). The findings provide insights into the interplay between structural symmetry, electronic topology, and magnetic instability, offering a theoretical framework for strain-based optimization of superconductivity.

Key Takeaways

•Strain can be used to tune the electronic structure and superconducting properties of La3Ni2O7.
•Tensile strain can lead to a Lifshitz transition and increased pairing strength, but also increased magnetic proximity.
•Compressive strain can enhance Tc, particularly in the I4/mmm phase, due to bond straightening and hole pocket emergence.
•The study highlights the balance between structural symmetry, electronic topology, and magnetic instability in nickelates.

Reference

“Biaxial strain acts as a tuning parameter for Fermi surface topology and magnetic correlations.”

Permalink ArXiv

research #oncology, extracellular vesicles, tumor detection 🔬 ResearchAnalyzed: Jan 4, 2026 06:48

Physical Limits of Proximal Tumor Detection via MAGE-A Extracellular Vesicles

Published:Dec 29, 2025 15:50

•

1 min read

•

ArXiv

Analysis

This article likely discusses the challenges and limitations of using extracellular vesicles (EVs) containing MAGE-A proteins for detecting tumors in close proximity. The focus is on the physical constraints that impact the effectiveness of this detection method. The source being ArXiv suggests this is a pre-print or research paper.

Key Takeaways

•The research explores the physical limitations of using EVs for tumor detection.
•The study focuses on EVs containing MAGE-A proteins.
•The research is likely focused on the challenges of detecting tumors in close proximity.

Reference

“”

Permalink ArXiv

Research #llm 🔬 ResearchAnalyzed: Jan 4, 2026 07:51

S-BLE: A Participatory BLE Sensory Data Set Recorded from Real-World Bus Travel Events

Published:Dec 27, 2025 01:10

•

1 min read

•

ArXiv

Analysis

This article describes a research paper on a dataset collected using Bluetooth Low Energy (BLE) sensors during bus travel. The focus is on participatory data collection, implying involvement of individuals in the data gathering process. The dataset's potential lies in applications related to transportation, human behavior analysis, and potentially, the development of machine learning models for related tasks. The use of BLE suggests a focus on proximity and environmental sensing.

Key Takeaways

•Focus on a participatory BLE sensory dataset.
•Data collected during real-world bus travel.
•Potential applications in transportation, human behavior analysis, and machine learning.

Reference

“The paper likely details the methodology of data collection, the characteristics of the dataset (size, features), and potential use cases. It would be interesting to see how the participatory aspect influenced the data quality and the types of insights gained.”

Permalink ArXiv

Astrophysics #Novae, Particle Acceleration, Multi-messenger Astronomy 🔬 ResearchAnalyzed: Jan 3, 2026 20:09

Multi-Messenger Predictions for T CrB Nova Outburst

Published:Dec 26, 2025 19:00

•

2 min read

•

ArXiv

Analysis

This paper investigates the potential for detecting gamma-rays and neutrinos from the upcoming outburst of the recurrent nova T Coronae Borealis (T CrB). It builds upon the detection of TeV gamma-rays from RS Ophiuchi, another recurrent nova, and aims to test different particle acceleration mechanisms (hadronic vs. leptonic) by predicting the fluxes of gamma-rays and neutrinos. The study is significant because T CrB's proximity to Earth offers a better chance of detecting these elusive particles, potentially providing crucial insights into the physics of nova explosions and particle acceleration in astrophysical environments. The paper explores two acceleration mechanisms: external shock and magnetic reconnection, with the latter potentially leading to a unique temporal signature.

Key Takeaways

•T CrB's upcoming outburst is a prime opportunity to study nova-produced neutrinos and gamma-rays.
•The paper models two particle acceleration mechanisms: external shock and magnetic reconnection.
•Gamma-ray detection is more likely in the external shock scenario, while neutrino detection is more promising in the magnetic reconnection scenario.
•Magnetic reconnection could produce a unique temporal signature, with neutrinos arriving before gamma-rays.

Reference

“The paper predicts that gamma-rays are detectable across all facilities for the external shock model, while the neutrino detection prospect is poor. In contrast, both IceCube and KM3NeT have significantly better prospects for detecting neutrinos in the magnetic reconnection scenario.”

Permalink ArXiv

Research #Spintronics 🔬 ResearchAnalyzed: Jan 10, 2026 07:20

Spin-Orbit Torque Enhancement in Graphene via CrSBr Integration

Published:Dec 25, 2025 11:34

•

1 min read

•

ArXiv

Analysis

This research explores a novel method to control spin currents in graphene, a material with significant potential in spintronics. The study's focus on proximity-induced spin-orbit torque offers a path toward more efficient and versatile spin-based electronic devices.

Key Takeaways

•Investigates the interaction between graphene and a CrSBr monolayer.
•Focuses on proximity-induced spin-orbit torque.
•Potentially contributes to advancements in spintronic device design.

Reference

“The study investigates Proximity-Induced Spin-Orbit Torque in Graphene on a Trigonal CrSBr Monolayer.”

Permalink ArXiv

Research #Quasars 🔬 ResearchAnalyzed: Jan 10, 2026 09:14

DESI Y1 Quasar Observations Shed Light on Quasar Proximity Zones

Published:Dec 20, 2025 09:06

•

1 min read

•

ArXiv

Analysis

This research focuses on analyzing quasar proximity zones using data from the DESI Y1 quasar survey and the Lyman-alpha forest. The study provides valuable insights into the environments surrounding quasars, contributing to our understanding of galaxy formation and the intergalactic medium.

Key Takeaways

•The research utilizes data from the DESI Y1 quasar survey.
•The study employs the Lyman-alpha forest technique.
•The findings contribute to the understanding of quasar environments.

Reference

“Measurements of quasar proximity zones with the Lyman-$α$ forest of DESI Y1 quasars.”

Permalink ArXiv

Research #Dynamical Systems 🔬 ResearchAnalyzed: Jan 10, 2026 09:22

Analyzing Orbital Proximity in Distinct Dynamical Systems

Published:Dec 19, 2025 20:41

•

1 min read

•

ArXiv

Analysis

The article's focus on dynamical systems and orbital analysis suggests a potentially complex mathematical or computational exploration. Its novelty hinges on the methodology for determining the shortest distance, impacting fields dealing with orbital mechanics or data analysis in chaotic systems.

Key Takeaways

•Focuses on comparing and analyzing orbits within different dynamical systems.
•Potentially introduces new methods or algorithms for orbital distance measurement.
•The research likely has implications for areas like astrophysics and celestial mechanics.

Reference

“The context provided suggests that the article is based on a scientific publication on ArXiv.”

Permalink ArXiv

Research #AI in Agriculture 🔬 ResearchAnalyzed: Jan 4, 2026 08:13

Beyond Proximity: A Keypoint-Trajectory Framework for Classifying Affiliative and Agonistic Social Networks in Dairy Cattle

Published:Dec 17, 2025 01:01

•

1 min read

•

ArXiv

Analysis

This article describes a research paper on using AI to analyze social interactions in dairy cattle. The focus is on moving beyond simple proximity to understand more complex social dynamics, classifying networks as affiliative or agonistic. The use of a keypoint-trajectory framework suggests a computer vision approach to tracking and analyzing the animals' movements and interactions. The source being ArXiv indicates this is a pre-print or research paper.

Key Takeaways

•The research uses AI to analyze social behavior in dairy cattle.
•It moves beyond simple proximity analysis.
•A keypoint-trajectory framework is used, likely involving computer vision.
•The goal is to classify social networks as affiliative or agonistic.

Reference

“”

Permalink ArXiv

Research #llm 🔬 ResearchAnalyzed: Jan 4, 2026 10:19

MAPS: Preserving Vision-Language Representations via Module-Wise Proximity Scheduling for Better Vision-Language-Action Generalization

Published:Nov 25, 2025 03:39

•

1 min read

•

ArXiv

Analysis

This article introduces MAPS, a method for improving vision-language-action generalization. The core idea revolves around preserving vision-language representations using a module-wise proximity scheduling strategy. The paper likely details the specific scheduling mechanism and evaluates its performance on relevant benchmarks. The focus is on improving the ability of AI models to understand and act upon visual and linguistic information.

Key Takeaways

•Focuses on improving vision-language-action generalization.
•Employs a module-wise proximity scheduling strategy.
•Aims to preserve vision-language representations.

Reference

“The article likely discusses the specific scheduling mechanism and its impact on generalization performance.”

Permalink ArXiv

Research #AGI 👥 CommunityAnalyzed: Jan 10, 2026 14:53

Debunking AGI Imminence: The LLM Limitations

Published:Oct 18, 2025 13:24

•

1 min read

•

Hacker News

Analysis

The article's stance likely counters the hype surrounding current large language models (LLMs) and their perceived proximity to Artificial General Intelligence (AGI). It probably argues for a more realistic assessment of current capabilities, emphasizing the gap between LLMs and true AGI.

Key Takeaways

•AGI development is likely further away than some claim.
•Current LLMs have significant limitations that prevent them from achieving AGI.
•A more nuanced and cautious approach to AGI progress is necessary.

Reference

“LLMs are not the royal road to AGI.”

Permalink Hacker News

Proximity Effect in SSH-Superconductor Junction

Analysis

Key Takeaways

Semiclassical Theory for Proximity-Induced Superconducting Systems

Analysis

Key Takeaways

3D Spacecraft Structure Reconstruction with Dynamic Lighting

Analysis

Key Takeaways

Strain Engineering for High-Temperature Superconductivity in La3Ni2O7

Analysis

Key Takeaways

Physical Limits of Proximal Tumor Detection via MAGE-A Extracellular Vesicles

Analysis

Key Takeaways

S-BLE: A Participatory BLE Sensory Data Set Recorded from Real-World Bus Travel Events

Analysis

Key Takeaways

Multi-Messenger Predictions for T CrB Nova Outburst

Analysis

Key Takeaways

Spin-Orbit Torque Enhancement in Graphene via CrSBr Integration

Analysis

Key Takeaways

DESI Y1 Quasar Observations Shed Light on Quasar Proximity Zones

Analysis

Key Takeaways

Analyzing Orbital Proximity in Distinct Dynamical Systems

Analysis

Key Takeaways

Beyond Proximity: A Keypoint-Trajectory Framework for Classifying Affiliative and Agonistic Social Networks in Dairy Cattle

Analysis

Key Takeaways

MAPS: Preserving Vision-Language Representations via Module-Wise Proximity Scheduling for Better Vision-Language-Action Generalization

Analysis

Key Takeaways

Debunking AGI Imminence: The LLM Limitations

Analysis

Key Takeaways

📬 Get AI News Delivered

Browse by Category

Trending Topics

📬 Get AI News Delivered

Browse by Category

Trending Topics