Beihang University

Magnetization Dynamics-Modulated Near-Infrared Mie Scattering Enables Homogeneous Femtomolar Immunosensing for Whole Blood

Abstract Low-abundance biomarkers in whole blood hold immense clinical value for disease diagnosis. However, their detection remains constrained by the difficulty of conventional assays in simultaneously achieving high sensitivity, rapid turnaround, and operational simplicity. He...

Using Aromatic‐Bridge‐Tuned Dimer Acceptors to Harmonize Photoluminescence Quantum Yield and Crystallinity for Organic Solar Cells Exceeding 21% Efficiency

ABSTRACT Suppressing non‐radiative energy loss (Δ E 3 ) by enhancing the photoluminescence quantum yield (PLQY) of active‐layer materials, particularly the acceptor component, is important for achieving high‐performance organic solar cells (OSCs). A key challenge is how to design...

Modulating Activation Strain Thresholds in Mechanochromic Polymers through the Prestretching Strategy

Abstract Mechanochromic polymers provide a powerful tool for visualizing stress distribution and signaling mechanical damage through force-induced optical responses. However, their practical applications are often restricted by the relatively high activation strain threshold, whi...

Trillion-scale integrated framework for high-throughput materials databases and seamless sharing

Abstract Artificial intelligence is accelerating materials discovery, yet for complex systems such as high-entropy alloys, exhaustive exploration of their immense composition spaces is computationally intractable. Here we propose an integrated framework that enables large-scale e...

Decision-focused learning for gate assignment to reduce potential conflicts under arrival time uncertainty

Flight delays frequently disrupt airport operations, making pre-planned gate assignments infeasible and requiring real-time adjustments. Traditional ‘Predict-then-Optimize’ methods train prediction models to minimize statistical errors (e.g. MSE), but they often ignore how differ...

Analysis of Eulerian Methods for Droplet Collection Efficiency on Two-Dimensional Surfaces Under Aircraft Icing Conditions

The calculation of droplet collection efficiency is a critical procedure in numerical simulations of aircraft ice accretion and anti-/de-icing processes, in which the Eulerian framework is predominantly employed, especially on complex surfaces. Based on the droplet streamlines ob...

Acute Whole-Body Heat Exposure Modulates EEG Microstate Dynamics, Phase-Lagged Connectivity, and Cortical Source Activity

Abstract Acute exposure to elevated ambient temperature affects physiological regulation, thermal perception, and cognitive functioning, yet its influence on the spatiotemporal organization of human brain activity remains insufficiently understood. This study investigated tempera...

Jamming-free multi-robot assembly system for sequential locating pin insertion in non-coaxial dual-hole

Accurate alignment of large-scale components in manufacturing systems is often achieved by inserting locating pins into mating faces. In such operations, each locating pin must sequentially pass through two non-coaxial holes with a clearance of less than 50 μm, a requirement that...

Systematic opto-mechanical design approach for meter-long Nano-AKB mirror system at HEPS

A systematic opto-mechanical design approach is developed for a long Nano-AKB mirror system aimed at stable sub-50 nm hard X-ray nanofocusing. The approach integrates deformation–stiffness-balanced mirror clamping, hierarchical precision alignment, and thermomechanical stability...

Competitive flow identification and hemodynamic analysis in coronary artery bypass grafting

Low graft flow after coronary artery bypass grafting (CABG) may result from anastomotic stenosis or competitive flow, but differentiating these potential causes using intraoperative flow measurements remains challenging. This study aimed to explore graft-type-specific factors ass...

Geobacter-dominated electroactive biofilms exhibit stable electricity generation under high-level heavy metal and organochlorine stress

Bioelectrochemical systems (BESs) are promising technologies for wastewater treatment and resource recovery, but their stable operation can be compromised by toxicant loading. Here, a Geobacter -dominated electroactive biofilm was developed and its resilience was evaluated under...

Shape‐Adaptive Flexible 3D Air‐Gap Phased‐Array Antennas via Mechanically Guided Assembly

ABSTRACT 3D architectures in flexible electronics provide an effective route to decouple mechanical compliance from functional performance, which is particularly important for shape‐adaptive radio‐frequency systems on curved platforms. However, flexible radio‐frequency devices re...

Computational mapping of full interfacial segregation spectrum for designing core-shell θ' precipitates in Al-Cu-based alloys

With rising demand for lightweight high-temperature structural materials in aerospace and automotive industries, developing heat-resistant aluminum alloys has become a critical challenge. This work employs high-throughput density functional theory and machine learning to systemat...

A phenomenological stress decomposition framework for electro–mechanical state awareness in all-solid-state batteries

All-solid-state batteries (ASSBs) exhibit strong electro–mechanical coupling behavior due to stress-dependent solid–solid interfacial contact, making accurate state estimation challenging. To address this issue, an electro–mechanical coupling modeling and joint state estimation f...

Enhanced online detection of lithium plating via a dynamic threshold generation strategy with aging effect compensation

Lithium plating (LP) is an abnormal side reaction during lithium-battery cycling that accelerates capacity loss and introduces safety risks. Existing online detection methods often suffer from LP-feature masking caused by gradual aging, baseline drift, and cell-to-cell inconsiste...

Causality-aware many-objective intra-day dispatch for wind-PV-thermal-storage complementary power systems

Intraday dispatch of wind-PV-thermal-storage complementary power systems is challenged by volatile renewable generation, strong inter-temporal state coupling, narrow and evolving feasible regions, and conflicting economic, low-carbon, renewable-accommodation, and operational-secu...

Process-Model-Supported Offline Reinforcement Learning for Water–Fertilizer Management: Two-Model Closed-Loop Production–Nitrogen-Loss Trade-Offs

Nitrogen leaching threatens groundwater quality, making production retention and efficient water–fertilizer use joint management priorities. Field trials evaluate a limited set of treatments, while adaptive policies generate long sequences of decisions. We propose counterfactual...

Belobog: Move Language Fuzzing Framework for Real-World Smart Contracts

Move is a resource-oriented programming language designed for secure and verifiable smart contract development and has been widely used in managing billions of digital assets in blockchains, such as Sui and Aptos.Move features a strong static type system and explicit resource sem...

How Much Static Structure Do Code Agents Need? A Study of Deterministic Anchoring

LLM-based code agents navigate repositories through keyword search but lack access to the structural relationships, such as call graphs, inheritance hierarchies, and configuration dependencies, that organize software systems. This limitation can make agent navigation stochastic a...

To Run or Not to Run: Analyzing the Cost-Effectiveness of Code Execution in LLM-Based Program Repair

LLM-based agents for program repair are increasingly built on a “generate-run-revise” paradigm, iteratively executing tests to evaluate and refine patches. This execution-based approach has become standard practice in state-of-the-art systems. However, executions can be time-cons...