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RESEARCH PAPER · npj Computational Materials · 2022

Automated pipeline for superalloy data by text mining

Weiren Wang, Xue Feng Jiang, Shaohan Tian, Pei Liu, Depeng Dang, Yanjing Su, Turab Lookman, Jianxin Xie

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Automated pipeline for superalloy data by text miningOriginalMaterials Data toward Machine Learning: Advances and Challenges62Materials information extraction via automatically generated corpus30Materials genome engineering-based hydrogen storage materialsdatabase and its applications6Machine Learning Captures Synthetic Intuitions for Hollow Nanostructures4Data-driven pitting evolution prediction for corrosion-resistant alloys by time-series analysis23A high-quality dataset construction method for text mining in materials science20Development of Key Technologies for Intelligent Research and Development of New Materials6MatNexus: A Comprehensive Text Mining and Analysis Suite for Materials Discovery0Target and Precursor Named Entities Recognition from Scientific Texts of High-Temperature Steel Using Deep Neural Network3Data-driven design of Ni-based turbine disc superalloys to improve yield strength56Probe microscopy is all you need *20Domain knowledge discovery from abstracts of scientific literature on Nickel-based single crystal superalloys29Methods, progresses, and opportunities of materials informatics72Natural Language Processing Techniques for Advancing Materials Discovery: A Short Review18The γ/γ′ microstructure in CoNiAlCr-based superalloys using triple-objective optimization23Identifying intrinsic factors for ductile-to-brittle transition temperatures in Fe–Al intermetallics via machine learning29Ordering phenomena in ternary transition‐metal dichalcogenides: Critical role of lattice symmetry and vdW interaction16Patient Journey Toward a Diagnosis of Light Chain Amyloidosis in a National Sample: Cross-Sectional Web-Based Study2Alloy synthesis and processing by semi-supervised text mining28Extracting the Synthetic Route of Pd-Based Catalysts in Methanol Steam Reforming from the Scientific Literature7MatNexus: A Comprehensive Text Mining and Analysis Suite for Materials Discover0Research activities in the dielectric ceramics: information from data mining in literature0Advancing thermoelectric materials discovery through semi-supervised learning and high-throughput calculations23Retracted: Design Strategies for Machine Learning Algorithms for Text Classification1Document-Level Iterative Entity and Relation Extraction for Materials Scientific Literature1MatNexus: A comprehensive text mining and analysis suite for materials discovery9CO 2 Reduction beyond Copper-Based Catalysts: A Natural Language Processing Review from the Scientific Literature11A document-level information extraction pipeline for layered cathode materials for sodium-ion batteries16Rapid estimation of γ' solvus temperature for composition design of Ni-based superalloy via physics-informed generative artificial intelligence7Data extension-based analysis and application selection of process-composition-properties of die casting aluminum alloy13A materials terminology knowledge graph automatically constructed from text corpus21Retracted: Text Mining for Automated Data Analysis and Information Retrieval1Versatile Deep Learning Pipeline for Transferable Chemical Data Extraction7Dielectric Ceramics Database Automatically Constructed by Data Mining in the Literature3Superior electroadhesion force with permittivity-engineered bilayer films using electrostatic simulation and machine learning approaches6A critical reflection on attempts to machine-learn materials synthesis insights from text-mined literature recipes16Machine Learning Approach to Investigate High Temperature Corrosion of Critical Infrastructure Materials8Multifunctional high-entropy materials231A Review on the Application of Superalloys Composition, Microstructure, Processing, and Performance via Machine Learning18Chemical shift prediction in 13C NMR spectroscopy using ensembles of message passing neural networks (MPNNs)12A study of the role of data and model uncertainty in active learning7Steel design based on a large language model57AI4Materials: Transforming the landscape of materials science and enigneering25High-throughput screening of stable Ag–Pd–F catalysts for formate oxidation reaction using machine learning10Automatic pipeline for information of curve graphs in papers based on deep learning2Deep Learning-Based Framework for Efficient Design of Multicomponent High Hardness High Entropy Alloys4Applications of natural language processing and large language models in materials discovery132Recent progress in the design and application of machine learning for the hydrogen evolution reaction in electrocatalysis and photocatalysis3AI-driven materials design: paradigm shift from small data to big data1Language models for materials discovery and sustainability: Progress, challenges, and opportunities26Empowering Generalist Material Intelligence with Large Language Models29Design of superalloys with multiple properties via multi-task learning8A knowledge acquisition automatizing framework from literature exemplified by Na+ activation energy prediction of NASICON solid-state electrolyte13Data-driven electrochemical behavior prediction for refractory high-entropy alloys by global and focused learning5Automated system for high-throughput process-structure-property dataset generation of structural materials: A γ/γ′ superalloy case study10Generalizable descriptors for automatic titanium alloys design by learning from texts via large language model21Synergizing a knowledge graph and large language model for relay catalysis pathway recommendation15Use of Large Language Models for Extracting and Analyzing Data from Heterogeneous Catalysis Literature18LLMs and NLP integration enables ion irradiation-induced swelling prediction in stainless steels2Mechanical and Electrical Properties dataset of Cu-Cr-X alloys generated with automated figure data extraction3Large Language Models and Machine Learning Framework for Predicting Dental Ceramics Performance3BigMixSolDB: extraction of a solubility database in solvent mixtures with an uncertainty-quantified large language model-based pipeline0Large language models for porous materials: from text mining to autonomous laboratory6Machine learning-guided design principles for single-atom catalysts in persulfate-based advanced oxidation processes1Dual engine-driven strategy for advanced copper alloy design employing large language models13Compositional design of Ni-based superalloys for additive manufacturing: Progress and perspectives9Text mining-assisted machine learning prediction and experimental validation of emission wavelengths4A comprehensive review of machine learning for superalloys: from data-driven prediction to intelligent design2Prompt Engineering Accelerates the Data‐Driven Discovery of Photocatalysts via an LLM‐Based Model Ensemble Strategy3Use of Machine Learning and Large Language Models in Chemical Information Extraction0Fine-Tuning Large Language Models for the Efficient and Concurrent Extraction of Fuel Properties0Enhanced multi-tuple extraction for materials: integrating pointer networks and augmented attention0Enhancing high-temperature oxidation resistance and wear performance of graphite via pitch-coated h-BN0Multi-fidelity learning in materials informatics: methodologies, applications, and outlook2Automated distillation of composition–processing–structure–performance linkages from fragmented and multi-modal materials literature1Artificial Intelligence for Materials Science: Transforming Research Paradigms6Prediction of flexural strength of carbon fiber reinforced polymers based on literature mining0Solder Alloys Data Mining for Materials Research0Data-driven design of a seasonal cyclic corrosion test program for carbon steel based on atmospheric corrosion monitoring0A semantics-guided multimodal machine learning framework for predicting the flexural strength of C/C-SiC composites0Knowledge-guided descriptors for multi-property prediction and candidate screening of superalloys0Logical Structure Aware Multi-relation Extraction for Materials Scientific Literature0

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