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.
This paper introduces TOMOYO Linux, a novel Mandatory Access Control method that enhances system security by evaluating application execution history and intents rather than relying solely on traditional application-file combinations, thereby reducing risks from malicious access and operational errors.
This paper proposes a Datalog-based policy description language that enables fine-grained access control by incorporating dynamic application process states, demonstrating its effectiveness through the successful composition and evaluation of SELinux policies within a Defense-in-Depth strategy.
This paper introduces TinyContainer, a lightweight middleware for multi-tenant microcontrollers that enables dynamic, fine-grained resource scheduling and security through a metadata-driven approach, demonstrating its effectiveness with a 4ms overhead in IoT environments and a specific TinyML use case.
FMplex is a model virtualization system that enables multiple customized foundation model tasks to share a single physical backbone through logically isolated virtual instances and a batch-aware fair-queueing scheduler, significantly reducing latency and increasing cluster-scale task capacity compared to existing serving approaches.
The paper introduces CarbonSim, a lifecycle-aware simulation framework demonstrating that extending the lifespan of existing hardware can sometimes reduce total carbon emissions compared to premature upgrades, depending on workload intensity and local grid carbon intensity.
This paper proposes a novel online adaptive fault-tolerant feedback control scheduling algorithm designed to optimize resource allocation and ensure deadline adherence for safety-critical tasks in multiprocessor embedded systems amidst dynamic load fluctuations and unpredictable environments.
This paper presents the first causal characterization of metastable failures, identifying their root cause as structural destabilizing cycles among system components that are individually stabilizing, and proposes a methodology to predict and build systems tolerant to these faults.
TuneAgent is an agentic framework that leverages rule-based reinforcement learning and large language models to autonomously and safely optimize Linux kernel configurations, achieving significant performance improvements through a structured two-phase training strategy that addresses challenges like sparse feedback and workload sensitivity.
This paper presents a QoS-aware Adaptive Task Placement (ATP) controller for multi-robot systems that dynamically optimizes task placement between local execution and edge offloading based on real-time latency and resource metrics, demonstrating through a closed-loop testbed that this approach significantly reduces deadline violations and tail latency compared to static orchestration under stress and network fault scenarios.
MORI is an agent serving system that improves throughput and reduces time-to-first-token by treating idleness as a continuous spectrum to dynamically rank and partition agentic workloads between GPU and CPU memory tiers, thereby overcoming the limitations of traditional eviction policies in handling variable tool-call durations.