Thermal radiation with a narrow-band emission spectrum is of great importance in variety applications such as infrared sensing, thermophotovoltaics, cooling, and thermal circuits. Although resonant nanophotonic structures metamaterials nanocavities have been demonstrated to achieve the emission, maximizing their power toward perfect still remains challenging. Here, based on recently developed quasi-normal mode theory, we prove that from nanoscale transmission line resonator can always be...

With the continuous advancement of nanotechnology, nanodevices have become crucial components in computing, sensing, and energy conversion applications. The structures typically possess subwavelength dimensions separations, which pose significant challenges for understanding transport phenomena nanodevices. Here, on basis a judiciously designed thermal photonic nanodevice, we report first measurement near-field between two coplanar over temperature bias up to ∼190 K. Our experimental results...

Graphs are an important abstraction used in many scientific fields. With the magnitude of graph-structured data constantly increasing, effective analytics requires efficient and scalable graph processing systems. Although HPC systems have long been for computing, people only recently started to assess their potential processing, a workload with inherent load imbalance, lack locality, access irregularity. We propose ShenTu <sup xmlns:mml="http://www.w3.org/1998/Math/MathML"...

Mice are among the most prevalent animal models used in neuroscience, benefiting from extensive physiological, imaging and genetic tools available to study their brain. However, development of novel optimized behavioral paradigms for mice has been laborious inconsistent, impeding investigation complex cognitions. Here, we present a home-cage assisted mouse innovation testing system (HABITS), enabling free-moving learn challenging cognitive behaviors without any human involvement. Supported...

Mice are among the most prevalent animal models used in neuroscience, benefiting from extensive physiological, imaging and genetic tools available to study their brain. However, development of novel optimized behavioral paradigms for mice has been laborious inconsistent, impeding investigation complex cognitions. Here, we present a home-cage assisted mouse innovation testing system (HABITS), enabling free-moving learn challenging cognitive behaviors without any human involvement. Supported...

The rheological properties of warm-mix recycled asphalt binders are critical to enhancing design quality and interpreting the performance mechanisms corresponding mixtures. This study investigated behavior with high percentages RAP binder. effects two additives [wax-based Sasobit (S) surfactant-based Evotherm-M1 (E)], a rejuvenating aging [ZGSB (Z)], four binder contents (0%, 30%, 50% 70%), three states (unaged, short-term aged long-term aged) were evaluated in detail using dynamic shear...

Despite their remarkable performance, the development of Large Language Models (LLMs) faces a critical challenge in scalable oversight: providing effective feedback for tasks where human evaluation is difficult or LLMs outperform humans. While there growing interest using critique, current approaches still rely on annotations more powerful models, leaving issue enhancing critique capabilities without external supervision unresolved. We introduce SCRIT (Self-evolving CRITic), framework that...

Interest has recently grown in efficiently analyzing unstructured data such as social network graphs and protein structures. A fundamental graph algorithm for doing task is the Breadth-First Search (BFS) algorithm, foundation many other important algorithms calculating shortest path or finding maximum flow graphs. In this paper, we share our experience of designing implementing BFS on Sunway TaihuLight, a newly released machine with 40,960 nodes 10.6 million accelerator cores. It tops Top500...

We introduce a hyperuniform-disordered platform for the realization of near-infrared photonic devices on silicon-on-insulator platform, demonstrating functionality these structures in flexible silicon photonics integrated circuit unconstrained by crystalline symmetries. The designs proposed advantageously leverage large, complete, and isotropic band gaps provided hyperuniform disordered structures. An design compact, sub-volt, sub-fJ/bit, hyperuniform-clad, electrically controlled resonant...

Although metamaterials or metasurfaces consisting of patterned subwavelength structures have been widely employed for thermal emission control, the collective behavior emitter array in a metasurface still remains unclear. Here, based on quasinormal mode theory, we derive new scale law to elucidate far-field from composed densely packed plasmonic nanoemitters. The tight binding method is used approximate resonant array. Because in-phase near-field interaction, radiation single suppressed by...

Graphs are an important abstraction used in many scientific fields. With the magnitude of graph-structured data constantly increasing, effective analytics requires efficient and scalable graph processing systems. Although HPC systems have long been for computing, people only recently started to assess their potential processing, a workload with inherent load imbalance, lack locality, access irregularity. We propose ShenTu8, first general-purpose framework that can efficiently utilize entire...

Metasurfaces consisting of an array planar sub-wavelength structures have shown great potentials in controlling thermal infrared radiation, including intensity, coherence, and polarization. These capabilities together with the two-dimensional nature make metasurfaces ultracompact multifunctional platform for light manipulation. Integrating functionalities, such as amplitude, phase (spectrum directionality), polarization, on a single metasurface offers fascinating device responses. However,...

With recent advances on mobile computing, power consumption has become a significant limiting constraint for many graphics applications. As result, rendering budget arises as an emerging demand. In this paper, we present real-time, power-optimal framework to address problem, by finding the optimal settings that minimize while maximizing visual quality. We first introduce novel power-error, multi-objective cost space, and formally formulate saving optimization problem. Then, develop two-step...

The paper presents the first theory and practice of free-form conjugation modeling. It introduces concept master-slave that broadens traditional computer aided single geometry modeling to dual is then applied gear establish technique, in which a fictitious rack-cutter or contact path proposed as master geometry. Simple geometric relationship suitable for undercutting analysis found between conjugate profiles. With geometry, has desirable properties guaranteed continuity, flexibility,...

This paper addresses the fundamental issue on conjugation for any gearing systems after tooth modification. It presents a rigorous theory compensated gear transmission error (TE) balance. The basic idea is that impaired by loading condition can be modifying function. Thus, holds true Because modification based universal concept of rather than geometry, proposed method limited to involute or even planar gearing. A theorem about continuity motion and conjugate geometries presented proved...

Fault tolerance is increasingly important in high-performance computing due to the substantial growth of system scale and decreasing reliability. In-memory/diskless checkpoint has gained extensive attention as a solution avoid IO bottleneck traditional disk-based methods. However, applications using previous in-memory suffer from little available memory space. To provide high reliability, methods either need keep two copies checkpoints tolerate failures while updating old or trade...

With network developing and virtualization rising, more indoor environment (POIs) such as cafe, library, office, even bus subway can provide plenty of bandwidth computing resources. Meanwhile many people daily spending much time in them are still suffering from the mobile device with limited This situation implies a novel local cloud paradigm which leverage nearby resources to facilitate task execution. In this paper, we implement system based on virtual cloud. mainly contains three key...

We investigate the directional control of narrow-band perfect thermal emission using a nanoscale Yagi–Uda antenna. Although antennas were demonstrated to achieve in optical and radio frequency regimes, they have not been applied for infrared emission. Here, by coupling emitter into antenna, we demonstrate strong with spectrum at nanoscale. By exploring effects reflector director forward enhancement factor up 8.3 is achieved through geometry optimization.

Direct measurements of far-field thermal infrared emission become increasingly useful because conventional indirect methods are limited or even unfeasible to characterize state-of-the-art devices with engineered spectra, directionalities, and polarizations. The direct collection the weak from nanoscale is also challenging their tiny footprints relatively large background radiation noises surroundings. Here, we demonstrate a microscopic lock-in Fourier transform spectrometer (FTIR) system...

In this paper, we propose MIU, a novel mobile edge computing framework for IoT applications in ultra dense networks, via the control of macro base station. We present comprehensive model, and formulate joint task offloading, user association small station sleeping problem, aiming at minimizing energy consumptions network-wide devices total SBSs while respecting series practical constraints. design an efficient algorithm by invoking dual-decomposition subgradient method to solve formulated...

This paper presents a general conjugation model based on the intrinsic kinematical properties of contact path. The is truly for any planar transmission through curves, such as gearing. effectiveness method not affected by type centrodes or motion and path contact. With method, given chosen contact, corresponding conjugate curves can be identified geometric determined even before are found. demonstrated with straight, circular, polynomial paths in both circular noncircular gears. versatility...

Fault tolerance is increasingly important in high performance computing due to the substantial growth of system scale and decreasing reliability. In-memory/diskless checkpoint has gained extensive attention as a solution avoid IO bottleneck traditional disk-based methods. However, applications using previous in-memory suffer from little available memory space. To provide reliability, methods either need keep two copies checkpoints tolerate failures while updating old or trade for space by...