Harbin Institute of Technology

Multiscale sensitivity analysis of elasticity properties for woven composites using data-driven self-consistent clustering analysis and artificial neural network

<title>Abstract</title> Sensitivity analysis of material microscopic properties like matrix and fiber parameters on macroscopic performance is critical for the refined design of the mechanical properties of woven composites. However, this work remains challenging due to the high...

Programmable multifunctional microrobots for synergistic cuproptosis-immunotherapy

Abstract Oral microrobots as drug carriers have shown great promise in enhancing the therapeutic efficacy of colorectal cancer (CRC). However, existing platforms frequently lack the programmable temporal precision required to execute complex, multi-stage dosing regimens. Here, we...

Mechanism Analysis and Prevention of Road Damage in High-Latitude Permafrost Regions

Abstract Frost heave and thaw settlement occur widely in northern China. Environmental change has increased their occurrence. High-latitude permafrost regions have high temperature sensitivity, experience freeze–thaw settlement, and exhibit unique rheological properties. Multiple...

A triboelectric nanogenerator sensor-based capture, positioning and release mechanism (CPRM) for test mass in TianQin Gravitational Wave detection Project

Space-based gravitational wave (GW) detection offers a powerful platform for observing millihertz GW signals and probing extreme astrophysical phenomena. As an important part for GW detection, monitoring key state during test-mass (TM) capture, positioning, and release is essenti...

Coupled Photon Transport and Interfacial Charge Utilization in ACT/g‐PAN for Photocatalytic CO 2 Reduction

ABSTRACT Integrating microscopic catalyst design with macroscopic photophysical reaction engineering is important for improving solar‐driven CO 2 reduction. However, previous studies have largely focused on the molecular‐level optimization of catalysts, whereas the coupled effect...

Rational Design of Angle‐Resilient Ultrathin Metals With Broadband Visible–Near‐Infrared Transparency

ABSTRACT Transparent conductors are critical for optoelectronic devices such as photodetectors and solar cells. Ultrathin metals, particularly silver, are widely used due to their excellent optoelectrical properties and large‐scale processability. However, their inherently high e...

Vibration Phenomena in Hydrogen Energy Systems: A Review

Hydrogen energy systems—proton exchange membrane fuel cells (PEMFCs), water electrolyzers, and high-pressure hydrogen storage vessels—are increasingly deployed in transportation, maritime, aerospace, and stationary applications where mechanical vibration is unavoidable. Yet vibra...

Dynamic response characteristics of an entire long span submerged floating tunnel tube under wave and current loads

This study performs a numerical investigation of the dynamic response characteristics of a three-dimensional, full-scale submerged floating tunnel (SFT) tube using finite element software coupled with hydrodynamic analysis subroutines, under regular-wave and combined wave-current...

Counterfeit Governance Strategies in E-Commerce Platforms from a Systems Perspective: An Evolutionary Game and System Dynamics Approach

Background: Counterfeit governance in e-commerce platforms is a real-world problem characterized by strategic interdependence, information asymmetry and dynamic feedback among platforms, merchants and consumers. Linear or single-actor regulatory approaches are often insufficient...

Photothermal Superhydrophobic Textiles: An Emerging Paradigm from Passive Water Repellency to Active Thermal Management

Photothermal superhydrophobic textiles represent an emerging paradigm integrating active light-driven functionality with passive liquid repellency. While previous reviews treated superhydrophobicity and photothermal effects in isolation, this work pioneers a systematic analysis o...

A Hierarchical Hydrogel Modulates Immune‐Mechanical Microenvironments to Spatiotemporally Reprogram Fibroblasts for Scarless Diabetic Wound Healing

ABSTRACT Fibrosis remains a major challenge in wound repair due to the dual role of fibroblast in tissue regeneration and fibrotic deposition. Early fibroblast activation supports wound closure, whereas sustained activation during remodeling drives fibrosis, making precise tempor...

Rapid Start-Up of a Biological Filter for Simultaneous Manganese and Ammonia Removal at Low Temperature Through Combined Bioaugmentation and a Dual-Media Filter

Groundwater in northeastern China is characterized by low temperature and the coexistence of manganese (Mn), ammoniacal nitrogen, and organic pollutants, resulting in prolonged start-up of biological Mn removal filters. To address this challenge, combined bioaugmentation with het...

NEOGRAN: traceable graph-text fusion for disease–protein relation prediction in biomedical knowledge graphs

Abstract Background Accurately predicting disease–protein relations in biomedical knowledge graphs helps link disease phenotypes to molecular mechanisms and supports disease-related knowledge discovery and candidate target identification. Biomedical knowledge graphs organize mult...

A new methodology for habit plane and orientation relationship prediction in precipitation strengthening of magnesium alloys

A new approach is presented, integrating the maximum atomic matching on the habit plane and reduced interfacial energy, to predict the orientation relationships (OR) and habit planes of precipitates in magnesium alloys. Understanding these ORs and habit planes is essential, as th...

Short-term solar irradiance forecasting using deep learning models and an agent-based decision support framework for localized energy management

Accurate forecasting of solar irradiance is critical to supporting the stability of the power grid and allowing for efficient use of renewable energy resources. As solar generation is highly dependent upon weather; therefore, accurate forecasting of short-term solar totals, or Gl...

Zoned Namespace is a Double-edged Sword: Rethinking the Impact of the ZNS Interface on File System Scalability

Emerging Zoned Namespace (ZNS) SSDs transfer garbage collection (GC) to the host, thereby providing more stable performance and extending device life. Although the ZNS SSD has these hardware advantages, each zone in the ZNS SSD must be written sequentially. File systems always ne...

Evaluation of Prefabricated Building Project Performance: A Novel Three-Stage Superefficient Network Epsilon-Based Measurement Model

Abstract Robust performance evaluation is critical for optimizing the sequential workflows of prefabricated building (PB) projects. However, traditional data envelopment analysis (DEA) frequently overlooks interstage dependencies and structural inefficiencies. To address this, a...

Online Detection and Grading of Tomato External Quality Based on Machine Vision

Abstract Tomato shape and mass are key indicators for external quality evaluation, while manual inspection is inefficient and subjective. This study proposes an online method for tomato external quality detection and grading based on machine vision. Images of 1,000 tomato samples...

Deep Learning in Lunar Regolith Image Processing: A Review

Recent lunar missions have generated a growing demand for automated and reliable processing of lunar regolith images. However, imaging degradations, limited annotations, and the lack of paired clean–degraded reference data still hinder the robustness and transferability of existi...

Study on a High-Pressure Pipeline Micro-Leakage Detection Method Based on Background-Oriented Schlieren Measurement and Feature Matching

Online detection of micro-leakage in complex high-pressure gas pipeline networks is difficult to achieve using conventional methods. A high-pressure pipeline micro-leakage detection method based on background-oriented schlieren measurement and feature matching was proposed in thi...