Southeast University

Interference-governed electromagnetic-thermal coupling and heat transport in multilayer nanofilms under pulsed extreme-ultraviolet irradiation

Mo/Si multilayer mirrors are central to extreme ultraviolet (EUV) lithography, where nanoscale optical interference and heat accumulation together constrain reflectivity and operational stability. Conventional surface-flux-based models become inadequate for EUV multilayers becaus...

Physics-embedded neural-network surrogate for infrared radiation prediction of correlated space targets

Infrared radiation characteristics are key electromagnetic signatures for detecting, tracking, and assessing space targets. This study develops a physics-embedded neural-network surrogate for rapid prediction of the infrared radiative intensity of correlated targets with differen...

Divorced eutectic growth of hypereutectic Al-Si alloy in sand casting and its influence on mechanical and thermal properties

In order to receive the divorced eutectic growth in Al-Si system like in Fe-G (graphite), the divorced eutectic growth behavior of hypereutectic Al-18Si-5Cu alloy in sand casting was investigated and its influence on mechanical and thermal properties was evaluated in this study....

Analytical study of the influence mechanism of cement-stabilized soil on the torsional dynamic bearing performance of single piles

As an effective technique for enhancing the bearing capacity of single piles, cement-stabilized soil has been widely applied in engineering practice. Analyzing the dynamic torsional response of the coupled single pile system is of considerable practical significance. Based on the...

Stress and deformation response analysis of multi tower continuous span suspension bridge deck pavement under stochastic traffic loads

Multi tower continuous span suspension bridges are an emerging bridge type. The middle tower effect and continuous span effect lead to stiffness distributions substantially different from those of conventional two-tower bridges. The mechanical behavior of steel deck pavement beco...

Study on uncertainty quantification and information gain strategy for non-destructive testing with incomplete measurement points

Non-destructive testing (NDT) of wood is an important technique for structural performance assessment. However, most wood NDTs face serious uncertainty problems when the measurement points are incomplete. Based on this, the motivation of this paper is to establish an uncertainty...

Ce-promoted CaO for hydrogen production in sorption-enhanced biomass gasification

CaO sorption-enhanced biomass gasification (SEBG) enables in situ CO 2 capture and hydrogen production; however, CaO-based materials often suffer from performance loss during repeated operation. In this work, Ce-promoted CaO-based materials were prepared by introducing different...

Perceived usefulness of AI-generated music predicts learning engagement and flow through attention and AI trust

The integration of artificial intelligence into educational environments has prompted increasing interest in how AI-generated content is associated with student learning. This study examines the psychological pathways linking perceived usefulness of AI-generated music with univer...

Synthetic nanoplatforms for multiscale imaging in living organisms

Abstract The rapid advancements in nanotechnology have promoted transformative breakthroughs in biomedical imaging, with global research in this field exhibiting exponential growth and numerous cutting-edge achievements widely reported. This review systematically summarizes the e...

Anion–π Interaction‐Regulated Ion Generation and High Piezoionic Response in Ultrasoft Low‐Salinity Hydrogels

ABSTRACT Anion–π interactions play important roles in underwater cohesion and selective ion recognition and transport in biological systems. Inspired by these functions, we report the first hydrogel system employing anion–π interactions as a design motif for piezoionic energy con...

Deep learning CT signature for predicting early liver metastases in pancreatic ductal adenocarcinoma

Accurately predicting the risk of early liver metastases (ELM) and identifying patients who are most likely to benefit from neoadjuvant therapy (NAT) are critical for pancreatic ductal adenocarcinoma (PDAC). Here, we develop a Mamba-based predictive model that integrates imaging...

Correlations Between Vibrational Red Shifts, Electronic Structure, and Water Dissociation on Alloy Clusters: An Exploratory Computational Study

Understanding the activation mechanism of water molecules is of fundamental importance for catalytic water dissociation via water splitting. In this study, we employed first-principles molecular dynamics simulations to investigate the catalytic dissociation of H2O on 88 alloy clu...

PDMS-based flexible packaging method via a 12-inch RDL-first process for conformal electronic applications

Purpose This study aims to realize large-scale and high-density manufacturing of conformal electronic devices by proposing a polydimethylsiloxane (PDMS)-based flexible packaging method via a 12-inch wafer-level redistribution-layer-first (RDL-first) process. Design/methodology/ap...

Key role of Ti 2 SnC surface oxides in tailoring interfacial diffusion behavior and electrical contact properties of Ag-based composites

Abstract To clarify the role of Ti2SnC surface oxides in the arc erosion resistance of Ag-based electrical contacts, a pre-oxidation strategy is employed to construct a controllable oxide layer at the Ag/Ti2SnC interface. Results show that pre-oxidation induces surface decomposit...

AI vs. human touch: Comparing non-AI and AI-mediated informal digital learning of English (IDLE) and their associations with affective variables and L2 willingness to communicate

The advancement of digital technologies has spurred a surge in research on informal digital learning of English (IDLE) in second language (L2) acquisition. However, few studies have compared the relationships between artificial intelligence (AI) and non-AI-IDLE on affective varia...

Mechanism of pressurised pyrolysis of Australian brown coal for hydrogen-rich syngas formation

Conversion of fossil fuels to hydrogen-rich syngas is a promising approach for efficient utilisation of these fuels. This study aims to investigate the mechanism of pyrolysis of Australian brown coal into high-value-added products, such as hydrogen-rich syngas. A custom-designed...

Supervisory feedback on academic writing in higher education a narrative review of theory, methodology, and context

Supervisory feedback is critical for developing research writing competence in higher education, yet existing reviews often lack theoretical integration, methodological transparency, or attention to non‑Anglophone scholarship. This narrative review synthesises 35 empirical studie...

Synergistic Thermal Energy and Charge Carriers in an Fe‐MOF for Solar‐Driven Scalable and Selective Aniline Production

ABSTRACT Aniline is a critical chemical feedstock for dyes, pharmaceuticals, and polymers, but its synthesis via nitroarene hydrogenation demands harsh conditions, precious metal catalysts, and incurs a substantial environmental footprint. Solar‐driven catalysis offers a sustaina...

Polygenic risk score analysis for major depressive disorder in a Chinese cohort: single-phenotype and pathway-based approaches

Abstract Background Major depressive disorder (MDD) is a global mental health challenge characterized by high prevalence, disability, and recurrence, with its susceptibility showing substantial polygenic inheritance. Polygenic risk scores (PRS) provide a novel method to explore c...

Temporoparietal structural-functional coupling abnormalities in drug-naïve youths with major depressive disorder and suicidal ideation

Major depressive disorder (MDD) in youth is associated with higher suicide risk. Although white matter and functional connectivity abnormalities have been reported in MDD patients with suicidal ideation (SI), how brain structure and function interact abnormally remains unclear. W...