Tsinghua University

Uncovering the hidden resource cost of urbanization: A globally scalable open-source framework for urban housing vacancy monitoring

Rapid urbanization often outpaces population growth, creating massive resource inefficiencies. Quantifying this structural mismatch between housing supply and actual occupancy remains a global challenge due to costly censuses and imprecise proxy data. Here, we present a globally...

Research on solid-state battery information mining based on large language models and chain-of-thought reasoning

Solid-state batteries (SSBs) represent a next-generation energy storage technology. However, the wide diversity of solid-state electrolyte (SSE) chemistries, coupled with the complexity of their synthesis and processing routes, makes systematic investigation, knowledge reuse, and...

Elevated Blood Pressure Is Causally Associated With Larger Subcortical Gray Matter Structure Through Perivascular Clearance Routes

ABSTRACT Background This study aimed to investigate the association between elevated blood pressure (BP) and subcortical gray matter structures, and to elucidate the causality and underlying mechanisms. Methods This study enrolled 1012 participants from a multicenter, population‐...

Electricity Load Forecasting for 400 Public Buildings in Shenzhen: Model Comparison, Feature Selection, and TreeSHAP Interpretation

One-hour-ahead electricity-load forecasting offers a potential reference for near-term demand monitoring, while its practical implementation requires a balance between predictive performance and input-data requirements. This study develops one-hour-ahead forecasting models using...

Self‐Responsive Plastron Maintenance on a Superhydrophobic Mesh via Locally Integrated Electrolysis

ABSTRACT Underwater superhydrophobic surfaces can retain an interfacial gas layer (known as plastron), enabling functions such as drag reduction and antifouling. However, the plastron suffers from inevitable instability under hydrostatic pressure and flow‐induced shear. Current e...

Mitigating Popularity Bias in Recommendation with Global Listwise Learning and Progressive Bi-Weighting

In recommender systems, user feedback typically follows a long-tail distribution, which leads many recommendation algorithms to exacerbate popularity bias by disproportionately favoring popular items. To mitigate this issue, recent studies have employed Inverse Propensity Scoring...

The nudging effect of technology reward on R&D input: empirical evidence from machine learning

Purpose Traditional policy interventions, typically involving economic incentives or mandatory regulations, are often constrained by fiscal limitations and resource misallocation. This study utilises a technology award system, namely the China Patent Award (CPA), to assess whethe...

Interfacial Electric Fields in Water Nanodroplets Are Weakly Dependent on Curvature and pH

Abstract The origin of enhanced reactivity in aqueous microdroplets remains unresolved, with interfacial electric fields (IEFs) frequently proposed as catalytic drivers. Here, we present a quantum-mechanical, spatially resolved characterization of the electric field at air-water...

Targeting delirium in gastric surgery: An interpretable predictive model and statistical analysis in critical care

Background Postoperative delirium is a serious complication in elderly ICU patients after gastric surgery, increasing mortality and healthcare burden. Early identification of high-risk patients may support timely prevention and optimise perioperative care. Objective To develop an...

Shear Horizontal Mode Enhanced Magnetic Field Sensitivity in Strongly Coupled Magnetoacoustic Wave Sensor

ABSTRACT Surface acoustic wave (SAW) magnetic field sensors benefit from small size and low cost, but they are restricted from practical applications by poor sensitivity and limit of detection (LoD). Strong coupling, a stronger form of ferromagnetic resonance, has the potential t...

Human-like content analysis for generative AI with language-grounded sparse encoders

The rapid development of generative AI has transformed content creation, communication, and human development. However, this technology raises profound concerns in high-stakes domains, demanding rigorous methods to analyze and evaluate AI-generated content. While existing analyti...

Integrated retrieval of ocean surface wind and current fields from single-geometry SAR observations through a physically constrained Bayesian framework

Ocean surface winds and currents are coupled through air–sea interaction but are commonly retrieved independently from spaceborne synthetic aperture radar (SAR). For operational single-geometry SAR, simultaneous wind–current retrieval is underdetermined and remains reliant on bac...

A nuclear clock synchronized to 229Th

Abstract Atomic clocks have made time and frequency the most precisely measured quantities in physics, progressing from microwave standards that realize the SI second 1 to optical clocks with unprecedented precision 2 . A nuclear clock transfers the frequency reference from an el...

Lamellar–Microspine Architecture for Robust Friction on Slippery Soft Objects

ABSTRACT Robust friction on soft substrates remains challenging under wet or oil‐lubricated conditions because conventional strategies fail when faced with both interfacial lubrication and material compliance. Here we present a lamellar–microspine architecture that combines gecko...

MIMAS: An open-source microlens-array miniature microscope for accessible large-field cortical imaging in freely behaving mice

Large-scale cortical dynamics during natural behavior are difficult to measure because head-mounted imaging systems must balance field of view, spatial resolution, weight, and optical complexity. Existing wide-field miniature microscopes often rely on compound or custom-corrected...

Hardware‐Efficient FMCW Laser Ranging Beyond the Coherence Length Approaching the Wiener Phase Noise Limit

ABSTRACT Coherent ranging based on frequency‐modulated continuous‐wave (FMCW) lasers is highly promising for autonomous systems. However, the high‐cost laser source hinders the large‐scale deployment of FMCW lidar, which requires both narrow linewidth and large tuning bandwidth....

Associations between urban form and urban multifunctionality: a comparative study

Abstract Cities are complex and dynamic systems that integrate social, ecological, and infrastructure domains. This study investigates and quantifies how urban forms are associated with multiple urban functions across these domains, and how these associations combine into positiv...

Twelve-Hour Dynamic Monitoring of Microalgae Response to Oxidative Stress by Single-Cell Metabolomics Analysis

Abstract Cellular metabolism is inherently dynamic during stress responses, yet conventional single-cell metabolomics workflows remain largely limited to isolated snapshots. Here, we implemented an online, label-free CyESI-MS-based workflow for the continuous monitoring of single...

Coordinated planning of hydrogen refuelling stations and distribution networks considering two-phase hydrogen storage and carbon emission flow

Hydrogen refuelling stations (HRSs) are essential infrastructure for hydrogen-powered transportation. However, their planning faces coupled challenges arising from high-pressure hydrogen storage risks and the indirect carbon emissions caused by grid-connected electrolysis. To thi...

Pareto Frontier of Neural Quantum States: Scalable, Affordable, and Accurate Convolutional Backflow for Strongly Correlated Lattice Fermions

The recent development of Neural Quantum States (NQS) has established them as one of the most accurate methods for studying strongly correlated many-fermion systems, outperforming existing many-body approaches for large systems. However, NQS calculations are currently highly reso...