99 papers
This collection explores the dynamic frontier of research spanning from carbon nanotubes to organic semiconductors, where chemists and materials scientists are redefining what is possible at the atomic scale. These studies investigate how molecular structures interact to create new technologies, often bridging the gap between theoretical chemistry and real-world applications like flexible electronics or advanced energy storage.
Every new preprint in this category arrives directly from arXiv, and Gist.Science immediately processes each submission to make the findings accessible to everyone. We provide both clear, plain-language overviews for general readers and detailed technical summaries for specialists, ensuring that complex discoveries in this rapidly evolving field are easy to understand and verify. Below are the latest papers exploring these groundbreaking materials and their transformative potential.
Chamelio is a programmable shared cloud network stack that enables tenants to implement custom protocols via eBPF while maintaining the high performance and strict latency isolation of fixed-function stacks through joint optimization and runtime cycle accounting.
This paper demonstrates that while the standard Linux kernel is unsuitable for high-frequency UAV flight control on a Raspberry Pi 5 due to excessive latency, the PREEMPT_RT kernel significantly reduces worst-case jitter by nearly 88%, though residual timing variance remains primarily driven by hardware memory contention.
NetCAS is a framework that dynamically optimizes I/O distribution between local caches and remote backend storage by leveraging real-time network feedback and a precomputed performance profile, achieving significantly higher throughput than traditional caching and existing converging schemes in fluctuating network environments.
This paper introduces Governed MCP, a kernel-resident tool governance gateway implemented in the Rust-based Anima OS that enforces robust, non-bypassable safety for AI agent tool calls through a six-layer pipeline featuring a novel logit-based semantic check (ProbeLogits), demonstrating that such deep integration is essential to prevent adversarial bypasses that defeat existing userspace guardrails.
GPUOS is a persistent kernel-based GPU runtime system that utilizes just-in-time compilation and operator injection to eliminate kernel launch overhead, achieving up to 15.3x speedup for deep learning workloads dominated by small tensor operations while maintaining seamless PyTorch integration.
This paper proposes "Proxics," an efficient programming model for Near-Data Processing accelerators that adapts familiar OS abstractions like virtual processors and IPC channels into lightweight mechanisms via compilation and interconnect protocols, demonstrating significant performance gains and highlighting the critical need for low-latency CPU-to-accelerator communication.
Edera is an optimized Type 1 hypervisor that leverages paravirtualization to deliver strong isolation comparable to hypervisor-based systems while maintaining near-Docker performance and full Kubernetes compatibility, effectively addressing the security vulnerabilities inherent in shared-kernel containerization.
This paper introduces VeruSAGE-Bench, a new benchmark of 849 proof tasks from eight open-source Verus-verified Rust systems, and demonstrates that tailored LLM-agent combinations can successfully solve over 80% of these tasks and more than 90% of unfinished system proofs, highlighting the significant potential of AI-assisted verification for system software.
TempoNet is a reinforcement learning scheduler that leverages a permutation-invariant Transformer with slack-quantized urgency embeddings and latency-aware sparse attention to achieve sub-millisecond, globally optimal task dispatching with superior deadline fulfillment and stability compared to traditional analytic and neural baselines.
Nanvix is a multikernel operating system designed for high-density serverless deployments that achieves strong tenant isolation and reduced resource contention by disaggregating ephemeral execution state into lightweight user VMs while sharing a macro-kernel system VM for I/O among same-tenant applications, resulting in significantly faster startup times and up to 100x higher deployment density compared to state-of-the-art systems.