Northeastern University

Studying the failure mechanism in Li-metal electrode by a reversible fluorescence analysis methodology

Elucidating the failure mechanisms of Li metal electrodes is critical to accelerating the development of long cycle life Li metal batteries. However, it has not yet fully been realized so far due to the challenges associated with quantitative and qualitative characterization of s...

A High‐Voltage Mild Alkaline Zinc‐Iodine Battery Enabled by Tailored Redox Couples

ABSTRACT Aqueous zinc–iodine batteries are promising energy storage systems. However, the voltage is limited in mild acidic electrolytes, while alkaline electrolytes lead to severe passivation at both electrodes. Herein, we optimize zinc–iodine battery systems by tailoring the re...

Pyroxene Ceramics Fabricated from Tailings via Synergistic Oxidation of Converter Slag and Copper Slag: Sintering Behavior, Microstructure Evolution and Mechanical Performance

Converter slag and copper slag represent promising sources for ceramic materials, but their high total iron content leads to waste of iron resources and inferior ceramic performance. To address this issue, we propose a two-step utilization method for converter slag and copper sla...

LB-Louvain: Balancing Transaction Locality and Shard Load in Account-Based State Sharding

Account-based state sharding improves blockchain parallelism by distributing account states and transaction execution across physical shards, but effective placement must preserve transaction locality without concentrating processing demand on a small number of shards. This paper...

Optimal Admittance Control of Human–Robot Interaction for Robotic Rehabilitation Under Uncertainties

ABSTRACT This paper presents a human–robot interaction (HRI) scheme by using an adaptive admittance control, which helps stroke patients perform rehabilitation training tasks and optimizes their performance. Considering the impact of human factors, the control structure is design...

An Automated Artistic Image Aesthetic Evaluation Framework via Expert Knowledge Injection into Large Vision-Language Models

Image aesthetic assessment (IAA) has progressed from handcrafted visual features to deep neural models, yet fine-art evaluation remains difficult because aesthetic judgment depends on style, historical context, and formal composition. Large Vision-Language Models (LVLMs) offer st...

Kinetics of Secondary Recrystallization in Grain-Oriented Silicon Steel Based on Grain Size Distribution

Quasi in situ observations of the early stage of secondary recrystallization in Fe-3.25 wt.% Si high-permeability grain-oriented silicon steel indicate that large matrix grains locally impede the migration of secondary recrystallized grain boundaries. A critical grain-size criter...

AdaH-Chain: Deterministic capacity-aware GNNs sharding in heterogeneous blockchains

Abstract Modern blockchain sharding protocols increasingly deploy Graph Neural Networks (GNNs) to optimize state partitioning. However, executing these learning heuristics across heterogeneous networks introduces two funda-mental challenges. First, hardware-dependent floating-poi...

Deep Learning-Based Steel Surface Defect Detection: A Survey

With the rapid development of manufacturing, increasingly stringent requirements for material quality and inspection efficiency have promoted the widespread application of deep learning-based nondestructive testing technologies in industrial quality control. In recent years, stee...

Synergistic Enhancement of Luminescence Dissymmetry Factor and Quantum Yield via Hybrid Copper(I) Iodide Cluster and Cellulose Nanocrystal Bilayer Films

ABSTRACT Circularly polarized luminescence (CPL) has emerged as a cornerstone technology for next‐generation chiral photonic applications. However, a fundamental trade‐off between the luminescence dissymmetry factor ( g lum ) and photoluminescence quantum yield (PLQY) has remaine...

Bio-Inspired Phase-Aware Skill Graph for Robust Long-Horizon Robotic Manipulation with Promptable Control

Long-horizon robotic manipulation requires coordinating multiple motor primitives under uncertainty, especially in contact-rich and changing environments. Existing end-to-end visuomotor policies often lack explicit temporal structure, causing brittle execution and limited recover...

Community Interactions and Extracellular Riboflavin Are Associated with Oral Biofilm-Mediated Medical Stainless Steel Corrosion

Microbiologically influenced corrosion (MIC) at oral biomaterial interfaces is viewed as an ecological phenomenon, yet how microbial composition and interspecies interactions shape corrosion remains unclear. Here, we investigated whether oral microbial community composition and i...

Influence of Neighboring Orientations on Oriented Stability in Grain-Boundary Regions of Non-Oriented Silicon Steel

Orientation rotation in grain-boundary regions plays a critical role in controlling the crystallographic texture of metallic materials. In this study, the ideal λ texture ({001} ) in non-oriented silicon steel is chosen as the target orientation. The oriented stability in grain-b...

Dual Nickel/Photoredox‐Catalyzed Regio‐ and Enantioselective Alkenylation of Epoxides

ABSTRACT β ‐Chiral phenethyl alcohols represent a privileged scaffold in bioactive molecules, chemical probes, and functional materials, serving as versatile synthons in organic synthesis. Herein, we report the first Ni/photoredox‐catalyzed stereoconvergent C(sp 3 )−C(sp 2 ) cros...

Fiber Electronics: Integrating Logic, Photodetection, and Wireless Communication on a Single Optical Fiber

Abstract Optical fibers underpin the global information infrastructure, yet their role has remained largely passive—restricted to guiding light rather than processing it. Signal modulation, detection, and logic operations are still performed by external chips, imposing fundamenta...

Formation and Mitigation of Carbon Contamination in Electron‐Beam Measuring Instruments

ABSTRACT Carbon contamination in electron‐beam measuring instruments is a common problem that adversely affects sample observation and analysis. Although numerous scholars have conducted systematic and in‐depth research on this issue, identifying optimal imaging conditions to min...

Effects of powder forming method and heat treatment process on microstructure and mechanical properties of ATI 718Plus alloy by laser additive manufacturing

ATI 718Plus alloy powders were prepared by vacuum induction melting gas atomization (VIGA) and plasma rotating electrode preparation (PREP) methods. Effects of direct aging (DA) and homogenization-solution-aging (HSA) heat treatment processes on microstructure and mechanical prop...

Normal-stress unclamping promotes cascading instability in deep mining-induced seismicity

Deep mining-induced seismicity poses a severe dynamic hazard and offers a near-field setting for examining fault interaction under rapidly evolving excavation-induced stress fields. Conventional stress-concentration frameworks may overlook failure paths governed by normal-confine...

Dynamic Voltage-Response Estimation for Blade-Tip Timing Sensors Based on EHHO-BP Network and Waveform Mapping

Blade-tip timing (BTT) sensor technology is widely used for non-contact blade vibration measurement. However, conventional BTT methods mainly rely on sparse time-of-arrival (TOA) information, which limits continuous sensor-domain characterization of blade vibration. To address th...

Semantic-guided 3D Gaussian splatting for sparse-view reconstruction in industrial digital twins

Novel view synthesis, which is essential for three-dimensional (3D) reconstruction, traditionally requires dense image sets and pre-calibrated camera parameters. However, in industrial digital twin applications spatial constraints often limit data acquisition to sparse views that...