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RESEARCH PAPER · Science China Technological Sciences · 2019

High-throughput experiments facilitate materials innovation: A review

Yihao Liu, Ziheng Hu, Zhiguang Suo, Lianzhe Hu, Lingyan Feng, Xiuqing Gong, Yi Liu, Jincang Zhang

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High-throughput experiments facilitate materials innovation: A reviewOriginalProcess parameter effects on solidification behavior of the superalloy during investment casting8Toward materials-by-design: achieving functional materials with physical and chemical effects6High Throughput Screening of Mechanical Properties and Scratch Resistance of Tricomponent Polyurethane Coatings17Adaptive characterization of microstructure dataset using a two stage machine learning approach64Infrared Thermography as a Powerful, Versatile, and Elegant Research Tool in Chemistry: Principles and Application to Catalysis and Adsorption6Developing Highly Tough, Heat-Resistant Blend Thermosets Based on Silicon-Containing Arylacetylene: A Material Genome Approach47A screening strategy for hot forging combining high-throughput forging experiment and machine learning3Multi-channel fiber optical spectrometer for high-throughput characterization of photoluminescence properties5High-Throughput Experiments for Rare-Event Rupture of Materials17Revealing the relationships between alloy structure, composition and plastic deformation in a ternary alloy system by a combinatorial approach20Overcoming roadblocks in computational roadmaps to the future for safe nanotechnology16High-throughput compositional mapping of phase transformation kinetics in low-alloy steel12Perspectives of using machine learning in laser powder bed fusion for metal additive manufacturing185Advances in Near-Infrared Luminescent Materials without Cr3+: Crystal Structure Design, Luminescence Properties, and Applications171Adoption of Image-Driven Machine Learning for Microstructure Characterization and Materials Design: A Perspective30Diversity matters: Widening the chemical space in organic solvent nanofiltration27Accelerated development of hard high-entropy alloys with data-driven high-throughput experiments35Operando Characterization of Organic Mixed Ionic/Electronic Conducting Materials148Fuel sorption into polymers: Experimental and machine learning studies13Perspective: Predicting and optimizing thermal transport properties with machine learning methods54A high‐throughput strategy for rapid synthesis and characterization of Ni‐based superalloys30Effect of Fe content on microstructure and hardness of Ti-4.5Mo–5Al-1.8Zr-2.5Cr-1.1Sn titanium alloy based on high-throughput diffusion couple20Matricial foaming8Machine-Learning-Based phase diagram construction for high-throughput batch experiments15Combinatorial synthesis of reactively co-sputtered high entropy nitride (HfNbTiVZr)N coatings: Microstructure and mechanical properties32Rapid screening the mechanical properties of ZrNi-based metallic glasses by high-throughput combinatorial approach6High‐entropy alloy catalysts: From bulk to nano toward highly efficient carbon and nitrogen catalysis184High-Throughput Preparation and Machine Learning Screening of a Blue-Phase Liquid Crystal Based on Inkjet Printing6A Framework for the Optimal Selection of High-Throughput Data Collection Workflows by Autonomous Experimentation Systems6A high-throughput catalyst synthesis system for Ag-based catalysts3High-Throughput Electrochemistry to Study Materials Degradation in Extreme Environments11Alloy corrosion and passivation spanning composition space3Contour–Context Joint Blind Image Inpainting Network for Molecular Sieve Particle Size Measurement of SEM Images3Predicting the hardness of high-entropy alloys based on compositions54Small data machine learning in materials science866An optimization of harmonic structure nickel-saving cryogenic steel via combinatorial high-throughput experiment2Advances in data‐assisted high‐throughput computations for material design112MA2Z4 family heterostructures: Promises and prospects124Multi-dimensional Data Visualization for Analyzing Materials0Development and application of Few-shot learning methods in materials science under data scarcity47Substitutional alloying using crystal graph neural networks3Advances in materials informatics: a review42Combinatorial high throughput methodologies: the potentials in heterogeneous catalysts synthesis, screening and discovery—a review12Investigation on microstructures, mechanical properties, and corrosion behavior of novel biodegradable Zn-xCu-xTi alloys after hot rolling fabricated by self-developed newly gradient continuous casting13Machine Learning-Assisted Design of Advanced Polymeric Materials146High-entropy thermoelectric materials127High‐throughput preparation for alloy composition design in additive manufacturing: A comprehensive review34The Block Copolymer Phase Behavior Database12Preparing sub-monolayer metals with continuous coverage spread for high-throughput growth of metal-organic frameworks4Functional Applications and Data-Driven Design of High-Entropy Ceramics10Progress on Key Technologies of Cavity-structured Thin Film Bulk Acoustic Wave Filter0Long-term research and design strategies for fusion energy materials9Flow chemistry as a tool for high throughput experimentation15High-Throughput Investigation of Microstructure and Hardness Evolution in N36 Alloy Subjected to Gradient Deformation and Annealing0Indoor light energy harvesting perovskite solar cells: from device physics to AI-driven strategies20Continuous high-throughput characterization of mechanical properties via deep learning6Development of cost-effective scrap-tolerant bulk-scale high entropy alloys2opXRD: Open Experimental Powder X‐Ray Diffraction Database6High-throughput method accelerating design of copper alloys2Defect formation analysis and microstructure-guided process design for large-scale complex thin-walled superalloy double-ring casting boss in investment casting3Self-contained multi-sample ellipsometry reveals voltage-composition co-regulation of defects in Nb–Ta anodic gradient oxides1Investigation of microstructure and hardness evolution in N36 alloy subjected to gradient deformation and annealing1Adding machine learning to the polymer reaction engineering toolbox13Review of group contribution methods for prediction of thermodynamic properties of long-chain hydrocarbons4Few-shot learning breaks the data bottlenecks in perovskite materials design2Optimization of Microwave High-Throughput Heat Treatment and Its Application Demonstration on GH4169 Superalloy0Compositional design of Ni-based superalloys for additive manufacturing: Progress and perspectives9Multirole collaborative and co-constructive materials design ecosystem enabled by using control and data flows decoupled workflows9Machine Learning in Next-Generation Polymer Composites: Recent Advances and Perspectives17High throughput preparation and oxidation behavior of AlxCry(TiTaNi)100-x-y high entropy alloy film1High-throughput characterization of multiple mechanical properties based on full-field deformation and machine learning0An Experimental High‐Throughput Approach for the Screening of Hard Magnet Materials0Study on Thermal Control Stability of Mold Flux Based on Residual Characteristics of Cooling Water Temperature Difference in Continuous Casting Molds0

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