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.
Aquifer is a novel hierarchical memory pooling system that combines low-latency CXL and cluster-wide RDMA to optimize MicroVM snapshot restoration by employing a hotness-based format, an ownership-based coherence protocol, and a hybrid copy-and-demand paging mechanism, thereby significantly reducing cold-start latency compared to existing solutions.
Kops is a secure extension interface that accelerates eBPF programs by allowing userspace compilers and kernel modules to introduce new native operations—verified via vanilla eBPF proof sequences—thereby achieving significant performance gains without expanding the kernel's trusted computing base.
AgenticOS proposes a novel secure operating system architecture that reframes the OS as an "intent filter" rather than a traditional resource manager, utilizing a four-layer design and structured intent declarations to synthesize least-privilege environments that prevent LLM-driven autonomous agents from exceeding their authorized tasks even when compromised.
The paper introduces AOHP, an open-source OS-level agent harness built on Android that treats agents as first-class system actors to enable personalized, efficient, and secure interactions, demonstrating significant improvements in task completion rates, token costs, and security compliance compared to conventional systems.
The paper presents LiveStack, an OS-level approach built on Linux virtualization that enables cluster-scale full-stack simulation with both high fidelity and performance by integrating simulation-oriented scheduling, memory management, IPC, and orchestration to coordinate live and modeled components under shared simulated time.
Vulcan is a framework that leverages LLMs to synthesize safe, instance-specialized systems heuristics by isolating decision logic in a restricted language (Anvil) and providing trusted runtime abstractions, achieving significant performance improvements in spot-VM scheduling, cache eviction, and tiered-memory systems while guaranteeing execution safety.
This paper presents uringscope, a portable, low-overhead eBPF-based observability tool that reconstructs io_uring request lifecycles and diagnoses performance issues by overcoming the limitations of unstable kernel tracepoints and the invisibility of shared-memory rings.
The paper introduces CacheWise, a KVCache management layer designed for LLM coding agents that leverages real-world workload analysis to combine prefix-aware scheduling with metadata-guided eviction, significantly reducing cache evictions and accelerating session completion times compared to conventional serving policies.
This paper introduces TOOLNAME, an LLVM-based instrumentation framework that extends Linux KCOV to capture per-task function argument and return value data-flow at kernel boundaries, thereby enabling context-aware fuzzing and efficient root-cause analysis without requiring source modifications or incurring significant runtime overhead.
Harmonia is an end-to-end RAG serving framework that optimizes performance across heterogeneous components through a flexible pipeline interface, heterogeneity-aware deployment, and a closed-loop runtime controller, achieving over 2.04x throughput improvement and up to 78.4% reduction in SLO violations compared to commercial alternatives.