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RESEARCH PAPER · Materials Genome Engineering Advances · 2024

Materials genome engineering accelerates the research and development of organic and perovskite photovoltaics

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Materials genome engineering accelerates the research and development of organic and perovskite photovoltaicsOriginalAccelerating materials discovery for electrocatalytic water oxidation via center-environment deep learning in spinel oxides29Analyzing the outdoor degradation behavior of organic solar modules in North China10Tutorial: AI-assisted exploration and active design of polymers with high intrinsic thermal conductivity15A printing-inspired digital twin for the self-driving, high-throughput, closed-loop optimization of roll-to-roll printed photovoltaics14Data mining accelerated the design strategy of high‐entropy alloys with the largest hardness based on genetic algorithm optimization22Development of a two‐dimensional bipolar electrochemistry technique for high throughput corrosion screening35Synergistic improvement of pitting and wear resistance of laser powder bed fusion 420 stainless steel reinforced by size-controlled spherical cast tungsten carbides33Two-dimensional XYN3 (X=V, Nb, Ta; Y=Si, Ge): Promising optoelectronic materials in photovoltaic photodetectors10Machine learning design of 400 MPa grade biodegradable Zn-Mn based alloys with appropriate corrosion rates16Machine learning‐assisted performance analysis of organic photovoltaics7Accelerating the design and manufacturing of perovskite solar cells using a one-shot automated machine learning framework10Optimize the Corrosion and Mechanical Performance of Additive‐Manufactured Nano‐Size WC‐Reinforced Stainless Steel Matrix Composites by Heat Treatments10Integrated Sharing Platform for Genetic Data of Rare and Precious Metal Materials1Introduction to Predicting Properties of Organic Materials1The Effect of Different Nanoparticles Surface Plasmon Polariton (SPP) Grating on Ge, Si, InP, and GaAs Photodetectors Performance10Advancing perovskite photovoltaic technology through machine learning‐driven automation49Advances in high‐throughput experiments of polymer crystallization for developing polymer processing9Phase equilibrium of the Fe2O3-TiO2 system7Accelerated discovery of high-performance small-molecule hole transport materials via molecular splicing, high-throughput screening, and machine learning11Facile and Universal Strategy to Construct Piezo-Photocatalytic Systems via Building Electron Bridges for Highly Efficient Overall Water Splitting7Microstructure and corrosion performance of laser powder bed fusion produced duplex stainless steel using Ni over-alloyed mixed powder24Unlocking a self-driving research workflow for perovskite photovoltaics12Self-reconstruction-induced highly active amorphous interface in a-NiOOH/CoOOH for enhanced oxygen evolution reaction40A Comprehensive Review Of Photodetectors: Materials, enhancement techniques, perspectives, and recent directions15Accelerated Multi‐Property Screening of Lead‐Free Halide Double Perovskite via Transfer Learning13Multiscale structure-mechanical property relationship and data-driven design of ultra-high temperature ceramics: A review7MatPC: Prompting Large Language Model, Crystal Structure Prediction, and First-Principles for Semantic-Driven Material Design3Understanding and optimization of large language models for corrosion inhibition efficiency prediction5Intelligent information extraction pipeline driven by large language model for building polymer processing database3Effect of Cu on corrosion evolution for Fe-8.5Al-30Mn-1C low-density steel: insights from bipolar electrochemistry testing2Machine learning-guided discovery of stable low-work-function perovskite oxides for advanced catalysis and energy technologies3Effects of chloride and bromide on passive film degradation and pitting corrosion evolution of lean duplex stainless steel 2001 in coastal infrastructure11Effect of re-melting strategies on pitting corrosion resistance in laser powder bed fusion Ni over-alloyed duplex stainless steel14Leveraging Language Model, Crystal Structure Prediction and First-Principles Calculation for Material Design0AI Design for High Entropy Alloys: Progress, Challenges and Future Prospects16Deconstructing biomineralization codes: a high throughput microfluidic material genome strategy for calcium carbonate crystallization1Density Functional Theory: A Quantum Mechanical Framework for Novel Materials Design3Pitting corrosion behavior of additively manufactured spherical WC/W2C-reinforced stainless steels in chloride-containing solution6From human genome to materials genome0Synergistic Mo and N effects on pitting corrosion of lean duplex stainless steels: A fundamental shift in phase-dependent stability in halide environments10SA-GAT-SR: self-adaptable graph attention networks with symbolic regression for high-fidelity material property prediction6Origin of the extremely low photovoltaic performance of CsGeI 3 : a machine-learning-based discovery of ordered-vacancy compounds0Physics-interpreted closed-loop optimization and interpretable process insight in perovskite photovoltaics0Exploring the Pareto front of strength-conductivity trade-off: interpretable machine learning for property prediction and composition design in high-strength high-conductivity Cu alloys1A data-driven comparative study of thermomechanical properties in rare-earth zirconate and tantalate oxides for thermal barrier coatings4Towards a sustainable high-quality materials data ecosystem: frameworks and strategies6WITHDRAWN: Heat-treatment-dependent pitting corrosion behaviour of WC/W2C particle reinforced LPBF 420 stainless steel composites revealed by bipolar electrochemistry0Heat-treatment-dependent pitting corrosion behaviour of WC/W2C particle reinforced LPBF 420 stainless steel composites revealed by bipolar electrochemistry4Alterable Robotic Somatosensation: Material Gene, Variability Modulation, and Embodied Applications1High‐Throughput Development of Humidity‐Stable Quasi‐2D Perovskites with a Low Amplified Spontaneous Emission Threshold0Multi-objective AI-driven optimization guides the discovery of high-performance organic photovoltaics0Knowledge-enabled data-driven smart design of ultra-strong ductile near-α titanium alloys under extreme conditions0MatterMind: A User‐Friendly Material Design Platform Assisted by Large Language Model0Research Progress and Prospects of Ultra-High-Temperature Ceramics: Experimentation, Multiscale Simulation and Data-Driven Design3From empirical growth to predictive design of 2D perovskite single crystals0Rapid Discovery of TiO 2 /ZnFe 2 O 4 /Cu Ternary Photocatalysts for Volatile Organic Compounds Degradation via High‐Throughput Screening Photogenerated Carriers Transfer Properties3Robot-Assisted Study of a Near-Infrared Dye in Perovskite Solar Cells0Pit growth kinetics and passive film stability of annealing heat treated type 2101 lean duplex stainless steel in chloride and bromide solutions2Closed‐Loop Multi‐Objective Bayesian Optimization of High‐Dimensional Processing Spaces for Organic Solar Cells0Physicochemical Insights into Laser-Induced Graphene via Data-Driven Materials-Genome Analysis of Natural and Synthetic Precursors0Microstructural inheritance from laser remelting controls phase transformation and pitting corrosion in LPBF 2205 duplex stainless steel0PVmatAgent: A Large Language Model (LLM) Agent for Perovskite Photovoltaic Material Design and Analysis0Bifunctional carboxylate pseudohalide anions enable synergistic defect passivation and moisture resistance at MAPbI3 surfaces0

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