AIMC Topic: Titanium
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Uncertainty-Informed Screening for Safer Solvents Used in the Synthesis of Perovskites via Language Models.
Journal of chemical information and modeling
Jul 22, 2025
Automated data curation for niche scientific topics, where data quality and contextual accuracy are paramount, poses significant challenges. Bidirectional contextual models such as BERT and ELMo excel in contextual understanding and determinism. Howe...
Nanozyme-Enabled Multimodal Sensing: Visual and Rapid Profiling of Extracellular Vesicles.
Analytical chemistry
Jul 14, 2025
CD20, a transmembrane protein on the surface of lymphoma extracellular vesicles (EVs), is highly expressed and serves as an effective marker for monitoring lymphoma subtypes and evaluating the efficacy of antibody therapy. Therefore, there is an urge...
Microrobots for Antibiotic-Resistant Skin Colony Eradication.
ACS applied materials & interfaces
Jun 25, 2025
Self-propelled nano- and micromachines have immense potential as autonomous seek-and-act devices in biomedical applications. In this study, we present microrobots constructed with inherently biocompatible materials and propulsion systems tailored to ...
Titania: an integrated tool for in silico molecular property prediction and NAM-based modeling.
Molecular diversity
Apr 23, 2025
Advances in drug discovery and material design rely heavily on in silico analysis of extensive compound datasets and accurate assessment of their properties and activities through computational methods. Efficient and reliable prediction of molecular ...
GCPNet: An interpretable Generic Crystal Pattern graph neural Network for predicting material properties.
Neural networks : the official journal of the International Neural Network Society
Apr 12, 2025
To predict material properties from crystal structures, we introduce a simple yet flexible Generic Crystal Pattern graph neural Network (GCPNet), which is based on crystal pattern graphs and employs the Graph Convolutional Attention Operator (GCAO) a...
The role of machine learning in predicting titanium dioxide nanoparticles induced pulmonary pathology using transcriptomic biomarkers.
Journal of hazardous materials
Apr 10, 2025
This study explores the application of machine learning (ML) in identifying transcriptomic changes associated with pulmonary pathologies induced by titanium dioxide nanoparticles (TiO-NPs). Such an approach significantly contributes to understanding ...
MXene-enabled organic synaptic fiber for ultralow-power and biochemical-mediated neuromorphic transistor.
Biosensors & bioelectronics
Apr 9, 2025
Fibrous bioelectronic provides an intrinsically accessible platform for artificial nerve and real-time physiological perception. However, advanced fiber-based artificial synapse remains a challenge due to the contradictory conductance demands for bra...
Machine learning-based activity prediction of phenoxy-imine catalysts and its structure-activity relationship study.
Molecular diversity
Mar 7, 2025
This study systematically investigates the structure-activity relationships of 30 Ti-phenoxy-imine (FI-Ti) catalysts using machine learning (ML) approaches. Among the tested algorithms, XGBoost demonstrated superior predictive performance, achieving ...
Hierarchical Crack Engineering-Enabled High-Linearity and Ultrasensitive Strain Sensors.
ACS sensors
Mar 5, 2025
Growing imperative for intelligent transformation of electro-ionic actuators in soft robotics has necessitated self-perception for accurately mapping their nonlinear dynamic responses. Despite the promise of integrating crack-based strain sensors for...
Harnessing Transfer Deep Learning Framework for the Investigation of Transition Metal Perovskite Oxides with Advanced p-n Transformation Sensing Performance.
ACS sensors
Mar 3, 2025
Gas sensing materials based on transition metal perovskite oxides (TMPOs) have garnered extensive attention across various fields such as air quality control, environmental monitoring, healthcare, and national defense security. To overcome challenges...
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