Tsinghua University

Light‐Absorbing‐Layer‐Free Flash Lamp Annealing for High‐Throughput Fabrication of All‐Solution‐Processed Oxide Electronics

ABSTRACT Metal oxides exhibit high transparency across the visible spectrum, making them challenging to anneal via flash lamp annealing (FLA). Whether such materials can effectively absorb light and self‐heat remains debated. Conventional workarounds often involve light‐absorbing...

Extending the sensitivity of heavy sterile neutrino searches with solar neutrino experiments

Abstract A sensitivity study of the search for heavy sterile neutrinos ($\nu_H$) in the MeV mass range using solar neutrino experiments is presented. $\nu_H$, with masses ranging from a few MeV up to around 15 MeV, can be produced in the Sun through $^8$B decay and subsequently d...

UltrafastSwitchable Polar and Magnetic Orders byNonlinear Light–Matter Interaction

Abstract An outstanding challenge in materials science and physics is the harnessing of light for switching ferroic orders in, e.g., ferroelectrics. Here, we propose a mechanism through which electrons in few-layer 2D materials excited with above-bandgap light cause ionic structu...

Stakeholder perceptions of an early essential newborn care simulation-based training in western China: a qualitative study

Neonatal mortality remains a global concern, especially in China, where regional disparities persist. Early essential newborn care (EENC) consists of a set of evidence-based and cost-effective interventions, including but not limited to, skin-to-skin contact, neonatal resuscitati...

Rapid general electromagnetic analysis of metallic surfaces via conformal energy minimization

We recently found that the electromagnetic scattering problem can be solved efficiently using an approach that expresses the fields in terms of a set of orthonormal basis functions. In this paper, we apply computational conformal geometry with the conformal energy minimization (C...

Toward Agent-Based Educational Science: Rethinking Educational Research in the Age of AI

Educational science faces a structural mismatch between the pace of educational innovation and the methods used to evaluate its developmental impact. While new pedagogical approaches and AI-driven learning technologies are rapidly deployed, the empirical paradigm of classroom-bas...

Uncertainty in Land Carbon Fluxes Simulated by CMIP6 Models from Treatments of Crop Distributions and Photosynthetic Pathways

Abstract. A reliable representation of the diversity of vegetation in terrestrial ecosystems is needed for the accurate simulation of present and future biogeochemical cycling and global climate, particularly as climate change affects different vegetation types differently. We co...

Divergent drivers of runoff changes in the Indus eastern tributaries: Insights from attribution analysis based on the Budyko framework

Study region The eastern tributaries of the Indus River Basin: Chenab, Jhelum, Ravi, and Sutlej. Study focus Using discharge records from the Water and Power Development Authority, Pakistan and climatic data from reanalysis datasets, this study constructs long-term, up-to-date hy...

Advances and Applications of Computational Design Methods in Structural Design

Abstract Computational design has profoundly influenced structural design. However, its integration into the structural design workflow remains limited, leaving considerable room for further development. To facilitate a more systematic review of this topic, this paper proposes a...

Multiscale SynapticDynamics of T-Cell AntigenRecognition

Abstract T-cell antigen recognition plays an essentially important role in adaptive immunity, enabling pathogen clearance and the elimination of abnormal cells. Recent studies have identified the force-dependent property of TCR–pMHC (TM) bonds as a key for antigen recognition, wi...

Reinforcement Learning in the Era of Large Language Models: Challenges and Opportunities

Reinforcement learning (RL), is becoming essential in the post-training of large language models (LLMs), enhancing their capabilities and alignment with human preferences. However, adapting conventional RL to LLMs introduces challenges stemming from their massive parameter size a...

Where to Restore:Hydrological Connectivity DifferentiatesEcological Restoration Outcomes in Dam-Regulated Rivers

Abstract Ecological stabilization of sandbars is essential for maintaining habitat integrity in dam-regulated rivers, yet whether restoration effectiveness varies systematically within project areas and is predictable from design-phase hydrological data remains largely unexamined...

Steering Structural Reconstruction in CO2 Electroreduction Catalysts

Abstract Structural reconstruction of electrocatalysts during the CO2 reduction reaction (CO2RR) is a critical yet complex dynamic process that profoundly influences catalytic performance. It governs the creation, transformation, and degradation of active sites, thereby presentin...

Noninvasive 3D mapping of tissue stress using reverberant shear wave

Abstract Mechanical stress is a fundamental aspect of soft tissues that influences cellular behavior and tissue integrity, yet noninvasive imaging of stress in vivo remains a major challenge. Conventional magnetic resonance elastography (MRE) measures tissue stiffness but not str...

Goal-directed synergistic fusion navigation for robust localization under cross-scenario spatial uncertainty

Abstract A goal-directed synergistic fusion navigation framework is essential for enabling accurate and reliable navigation of autonomous unmanned systems across diverse operational scenario environments, especially under challenging conditions such as Global Navigation Satellite...

Hierarchical Enzyme Function Prediction Based on Structural Confidence and Active-Site-Aware Attention

Accurate enzyme function prediction is important for protein functional annotation, drug discovery, metabolic-pathway analysis, and synthetic biology. Although recent structure-based methods have improved Enzyme Commission (EC) number prediction, they still have several limitatio...

Temporal- and Spatial-Resolved Characterization of Zeolite-Based Catalysts

Abstract Zeolites and metal-zeolite catalysts are the cornerstones of heterogeneous catalysis, where performance is governed by the structural dynamics and spatial distribution of active sites. However, conventional characterization often lacks the spatiotemporal resolution neede...

Phosphoantigen-driven dissociation of butyrophilin oligomers activates γδ T cells

γδ T cells represent a promising avenue for cancer immunotherapy. The Vγ9Vδ2 T-cell receptor (TCR), which is expressed by the predominant subset of γδ T cells, responds to phosphoantigen (pAg)-engaged butyrophilins (BTNs) on various cancer cells. However, the molecular mechanism...

Molecular Anisotropyand Angular Redistribution inLayering Adsorption of Nitrogen in Model Carbon Slit Pores

Molecular orientation is commonly averaged out in adsorption models, yet anisotropic adsorbates near regular interfaces can exhibit orientation-dependent stabilization at low coverage. Here we examine how the explicit diatomic representation of nitrogen affects layering adsorptio...

Pilot-scale investigation of mass transfer and performance of NO 2 absorption in alkaline scrubbing systems

This study addresses the critical challenge of NO2 mass transfer efficiency in wet denitration systems through a pilot-scale investigation of oxidation-alkali-coupled absorption. Utilizing dual Φ600 mm packed towers equipped with polypropylene 350Y structured packing, the perform...