High‐throughput screening led to the identification of 67 Z‐scheme heterojunctions (comprising 2D magnetic transition metal halides and non‐magnetic transition metal chalcogenides). For CrI3/MoTe2 and CrI3/WTe2, electronic structure analysis demonstrated that synergistic crystallographic point group and built‐in electric field effects generate a ...
Hongyang Ren +8 more
wiley +1 more source
A machine learning framework for predicting fuel consumption and CO2 emissions in hybrid and combustion vehicles: comparative analysis and performance evaluation. [PDF]
Ibrahim RA, Zakzouk NE.
europepmc +1 more source
Biomass‐ and solid waste‐derived sustainable single‐atom catalysts (Sus‐SACs) provide a cost‐effective and renewable approach to catalyst design. This review summarizes precursor selection, including AI‐assisted screening, synthesis strategies with emphasis on ultrafast methods, and advanced characterization techniques.
Hongzhe He +8 more
wiley +1 more source
A study on carbon emission prediction of multi-energy complementary power system based on multiple linear regression model. [PDF]
Sha J, Kang W, Ma R, Zhu D, Liu J.
europepmc +1 more source
Integrating interpretable machine learning with the fixed‐potential method reveals a novel mechanism: the catalytic activity of the electrochemical nitrogen reduction reaction is governed by partial charge transfer, induced by variations in the intermediate potential of zero charge under constant potential.
Yufei Xue +6 more
wiley +1 more source
Performance emission and combustion characteristics of TIO₂ and CEO₂ nanoparticle enhanced Mahua biodiesel diesel blends using experimental and machine learning approaches. [PDF]
Janaki V, Ranjit PS, Balakrishna B.
europepmc +1 more source
2D ferroelectrics materials enabling non‐volatile polarization memory, optical excitability, and neuromorphic processing within a unified material and provides a mechanistic analysis of polarization‐induced band modulation, including photon‐assisted domain reorientation, switching kinetics, and interfacial dipole coupling that governs resistive ...
Parthasarathi Pal +3 more
wiley +1 more source
Predicting energy prices and renewable energy adoption through an optimized tree-based learning framework with explainable artificial intelligence. [PDF]
Tang T.
europepmc +1 more source
Post‐Translational Regulation of CD8+ T Cell Fate and Dysfunction in Tumor Immunity
This review delineates how post‐translational modifications (PTMs) function as a central regulatory interface governing CD8+ T cell activation, differentiation, persistence, and exhaustion in antitumor immunity. By integrating antigenic, metabolic, and microenvironmental cues, diverse PTM programs coordinate transcriptional and chromatin states that ...
Zihao Zhou +8 more
wiley +1 more source
Carbon Emission Intensity Modeling in Freight Operations Using eXplainable AI in Real-World Conditions. [PDF]
Ranjan S, Madanayak SNS.
europepmc +1 more source

