Yanjing Su
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View article: [Application of bridge combined fixation system in pediatric Bado type <b>Ⅰ</b> chronic Monteggia fractures].
[Application of bridge combined fixation system in pediatric Bado type <b>Ⅰ</b> chronic Monteggia fractures]. Open
The BCFS was confirmed to be effective in the treatment of pediatric Bado type Ⅰ CMF, with good restoration of elbow function and the advantage of avoiding secondary implant removal surgery.
View article: Harnessing piezoelectric stimulation to modulate PI3K-AKT signaling for intervertebral disc regeneration
Harnessing piezoelectric stimulation to modulate PI3K-AKT signaling for intervertebral disc regeneration Open
View article: An Ultrastrong and Ductile Duplex Lightweight Steel with Dual-Nanoprecipitation
An Ultrastrong and Ductile Duplex Lightweight Steel with Dual-Nanoprecipitation Open
In this study, a duplex lightweight steel with the compositions of Fe-30Mn-9Al-1C-1V-5Ni (wt.%) was designed, and its microstructure and mechanical properties were analyzed after simple rolling and heat treatment. The microstructure of dup…
View article: Studies on the operation mechanism of the Ba2ScAlO5 impregnated cathode
Studies on the operation mechanism of the Ba2ScAlO5 impregnated cathode Open
The Ba2ScAlO5 cathode exhibits significant potential for applications in vacuum electronic devices. The tilted cathode possesses a large electron emission of 12.7 A/cm2 at 1000 °C in the DC mode. Microstructure and chemical composition cha…
View article: Freeze–Thaw-Driven Dynamics of Soil Water–Salt and Nitrogen: Effects and Implications for Irrigation Management in the Hetao Irrigation District
Freeze–Thaw-Driven Dynamics of Soil Water–Salt and Nitrogen: Effects and Implications for Irrigation Management in the Hetao Irrigation District Open
This study investigated the mechanisms of soil water–salt and nitrogen transport and optimal strategies under freeze–thaw (F-T) cycles in the salinized farmlands of the Hetao Irrigation District. A combined approach of field monitoring and…
View article: Enhancing Reverse Design Ability of Functional Materials Based on Data Quality Management: Taking Biomedical Zinc Alloy as an Example
Enhancing Reverse Design Ability of Functional Materials Based on Data Quality Management: Taking Biomedical Zinc Alloy as an Example Open
Biodegradable zinc alloys have shown great potential in the biomedical field, but are limited by their poor mechanical properties. Alloying is essential for improving mechanical properties, yet designing multicomponent zinc alloys remains …
View article: Reciprocal association between dietary diversity and subjective well-being in Chinese older adults: a three-wave longitudinal study
Reciprocal association between dietary diversity and subjective well-being in Chinese older adults: a three-wave longitudinal study Open
A longitudinal, reciprocal relationship exists between dietary diversity and subjective well-being in Chinese older adults. The findings underscore the significance of a diversified diet in enhancing the subjective well-being of older adul…
View article: Integrated EVLP and single-cell profiling uncovers aberrant activation of tissue-resident lymphocytes and pro-fibrotic GZMK⁺ CD8 T cells in IPF
Integrated EVLP and single-cell profiling uncovers aberrant activation of tissue-resident lymphocytes and pro-fibrotic GZMK⁺ CD8 T cells in IPF Open
Tissue-resident immune cells are crucial in chronic lung diseases, yet a comprehensive profile in human lungs is lacking. Here, we defined alterations of resident immune cells in idiopathic pulmonary fibrosis (IPF), a fatal interstitial lu…
View article: GPUMD 4.0: A high‐performance molecular dynamics package for versatile materials simulations with machine‐learned potentials
GPUMD 4.0: A high‐performance molecular dynamics package for versatile materials simulations with machine‐learned potentials Open
This paper provides a comprehensive overview of the latest stable release of the graphics processing units molecular dynamics (GPUMD) package, GPUMD 4.0. We begin with a brief review of its development history, starting from the initial ve…
View article: Revealing the impact of chemical short-range order on radiation damage in MoNbTaVW high-entropy alloys using a machine-learning potential
Revealing the impact of chemical short-range order on radiation damage in MoNbTaVW high-entropy alloys using a machine-learning potential Open
The effect of chemical short-range order (CSRO) on primary radiation damage in MoNbTaVW high-entropy alloys is investigated using hybrid Monte Carlo/molecular dynamics simulations with a machine-learned potential. We show that CSRO enhance…
View article: High-throughput evaluation of Mo effect on hydrogen embrittlement behavior of ultra-high strength steel
High-throughput evaluation of Mo effect on hydrogen embrittlement behavior of ultra-high strength steel Open
View article: Data-driven electrochemical behavior prediction for refractory high-entropy alloys by global and focused learning
Data-driven electrochemical behavior prediction for refractory high-entropy alloys by global and focused learning Open
Curve data are essential tools in materials science for characterizing material properties. However, obtaining and analyzing these curve data such as electrochemical corrosion curves to establish the intrinsic relationship of the material …
View article: Hedgehog-interacting protein orchestrates alveologenesis and protects against bronchopulmonary dysplasia and emphysema
Hedgehog-interacting protein orchestrates alveologenesis and protects against bronchopulmonary dysplasia and emphysema Open
Most of the lung’s gas-exchange surface forms during alveologenesis and its disruption causes bronchopulmonary dysplasia (BPD) in infants, characterized by alveolar simplification and myofibroblast accumulation. BPD also increases the risk…
View article: Optimizing electrocaloric effect of PbSc <sub>0.5</sub>Ta <sub>0.5</sub>O <sub>3</sub> ceramics near/below room temperature by ordering degree modulation
Optimizing electrocaloric effect of PbSc <sub>0.5</sub>Ta <sub>0.5</sub>O <sub>3</sub> ceramics near/below room temperature by ordering degree modulation Open
Lead scandium tantalate (PbSc0.5Ta0.5O3 (PST)) is one of the most promising ferroelectric materials for electrocaloric (EC) refrigeration because of its large enthalpy change (ΔH) at room temperature (RT), whose properties are determined b…
View article: Applications of natural language processing and large language models in materials discovery
Applications of natural language processing and large language models in materials discovery Open
The transformative impact of artificial intelligence (AI) technologies on materials science has revolutionized the study of materials problems. By leveraging well-characterized datasets derived from the scientific literature, AI-powered to…
View article: Elemental numerical descriptions to enhance classification and regression model performance for high-entropy alloys
Elemental numerical descriptions to enhance classification and regression model performance for high-entropy alloys Open
The machine learning-assisted design of new alloy compositions often relies on the physical and chemical properties of elements to describe the materials. In the present study, we propose a strategy based on an evolutionary algorithm to ge…
View article: A multi‐objective feature optimization strategy for developing high‐entropy alloys with optimal strength and ductility
A multi‐objective feature optimization strategy for developing high‐entropy alloys with optimal strength and ductility Open
Selecting appropriate material features is essential for effective data‐driven materials design. Here, we propose a multi‐objective feature optimization strategy that identifies feature subsets to improve both prediction accuracy and activ…
View article: RURA-Net: A general disease diagnosis method based on Zero-Shot Learning
RURA-Net: A general disease diagnosis method based on Zero-Shot Learning Open
The training of deep learning models relies on a large amount of labeled data. However, the high cost of medical labeling seriously hinders the development of deep learning in the medical field. Our study proposes a general disease diagnos…
View article: Bipartite graphs with the double Hall property
Bipartite graphs with the double Hall property Open
The super-neighborhood of a vertex set $A$ in a graph $G$, denoted by $Λ^2(A)$, is the set of vertices adjacent to at least two vertices in $A$. We say that a bipartite graph $G=(X, Y)$ with $|X| \geq 2$ satisfies the double Hall property …
View article: Dam Deformation Monitoring Model Based on Deep Learning and Split Conformal Quantile Prediction
Dam Deformation Monitoring Model Based on Deep Learning and Split Conformal Quantile Prediction Open
The construction of an interval prediction model capable of explaining deformation uncertainties is crucial for the long-term safe operation of dams. High effective coverage and narrow interval coverage widths are two key benchmarks to ens…
View article: Biomechanics in bone regeneration and mechanobiology in osteoblasts: Fundamental concepts and recent progress
Biomechanics in bone regeneration and mechanobiology in osteoblasts: Fundamental concepts and recent progress Open
Bone is a hard, dynamically active tissue that continually rebuilds and maintains its mineral balance and structural integrity. Multiple mechanical properties of bone determine its ability to deform and fracture under load, as well as prov…
View article: Melatonin rhythm-mimicking smart hydrogel for circadian clock regulation and promotion of intervertebral disc regeneration
Melatonin rhythm-mimicking smart hydrogel for circadian clock regulation and promotion of intervertebral disc regeneration Open
View article: First-Principles and Machine Learning-Driven Design of Efficient Electrocatalysts for Lithium-Sulfur Batteries: Metal Atom-Doped Tin/Ti3c2br Heterostructures
First-Principles and Machine Learning-Driven Design of Efficient Electrocatalysts for Lithium-Sulfur Batteries: Metal Atom-Doped Tin/Ti3c2br Heterostructures Open
View article: AI4Materials: Transforming the landscape of materials science and enigneering
AI4Materials: Transforming the landscape of materials science and enigneering Open
View article: Lightweight γ′-Phase-Strengthened Co-Al-Ti(-Nb) Superalloys
Lightweight γ′-Phase-Strengthened Co-Al-Ti(-Nb) Superalloys Open
View article: Investigation of Two Novel Heterojunction Photocatalysts with Boosted Hydrogen Evolution Performance
Investigation of Two Novel Heterojunction Photocatalysts with Boosted Hydrogen Evolution Performance Open
Among the reported photocatalysts, ZnIn2S4 has garnered significant research interest due to its advantageous layered structure and appropriate band gap. However, achieving rational design and effective interfacial regulation in heterojunc…
View article: General-purpose machine-learned potential for 16 elemental metals and their alloys
General-purpose machine-learned potential for 16 elemental metals and their alloys Open
View article: Utilizing a machine-learned potential to explore enhanced radiation tolerance in the MoNbTaVW high-entropy alloy
Utilizing a machine-learned potential to explore enhanced radiation tolerance in the MoNbTaVW high-entropy alloy Open
High-entropy alloys (HEAs) based on tungsten (W) have emerged as promising candidates for plasma-facing components in future fusion reactors, owing to their excellent irradiation resistance. In this study, we construct an efficient machine…
View article: Machine-Learning-Driven Design of High-Elastocaloric NiTi-Based Shape Memory Alloys
Machine-Learning-Driven Design of High-Elastocaloric NiTi-Based Shape Memory Alloys Open
In recent years, the detrimental impact of traditional gas–liquid refrigerants on the environment has prompted a shift towards sustainable solid-state refrigeration technology. The elastocaloric effect, particularly in NiTi-based shape mem…
View article: A novel high-Mn duplex twinning-induced plasticity lightweight steel with high yield strength and large ductility
A novel high-Mn duplex twinning-induced plasticity lightweight steel with high yield strength and large ductility Open
In this study, we report a novel high-Mn Fe–21Mn–6Al–4Si–1C (wt.%) duplex lightweight steel with concurrent chemical ordering and twinning-induced plasticity effects. This steel is capable of achieving an exceptional combination of strengt…