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High-Throughput Microstructural Characterization and Process Correlation Using Automated Electron Backscatter Diffraction
The need to optimize the processing conditions of additively manufactured (AM) metals and alloys has driven advances in throughput capabilities for...
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High-throughput and data-driven machine learning techniques for discovering high-entropy alloys
High-entropy alloys (HEAs) have attracted extensive attention in recent decades due to their unique chemical, physical, and mechanical properties. An...
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High-throughput first-principle prediction of collinear magnetic topological materials
The success of topological band theory and symmetry-based topological classification significantly advances our understanding of the Berry phase....
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A high-throughput strategy for rapid synthesis and characterization of Ni-based superalloys
This study developed a new high-throughput strategy, designated as hot-isostatic-pressing-based micro-synthesis approach (HIP-MSA), to optimize...
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Correlated high throughput nanoindentation map** and microstructural characterization of wire and arc additively manufactured 2205 duplex stainless steel
Duplex stainless steels (DSS) in wire and arc additive manufacturing (WAAM) have attracted significant research attention due to their mechanical...
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High-throughput screening of zwitterion-based coatings towards improved mechanical stability and drug-loading capacity
2-hydroxyethyl methacrylate (HEMA), poly(ethylene glycol) (PEG), and zwitterionic polymers are currently considered the most extensively studied...
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An Experimental High-Throughput to High-Fidelity Study Towards Discovering Al–Cr Containing Corrosion-Resistant Compositionally Complex Alloys
Compositionally complex alloys hold the promise of simultaneously attaining superior combinations of properties, such as corrosion resistance,...
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Candidate ferroelectrics via ab initio high-throughput screening of polar materials
Ferroelectrics are a class of polar and switchable functional materials with diverse applications, from microelectronics to energy conversion....
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High-throughput synthesis of binary Al–Mn alloys by directed energy deposition with improved accuracy of composition adjustment
Directed energy deposition (DED) provides the possibility of high-throughput synthesis by controlling the multi-channel powder feeders. However, the...
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Absorption versus adsorption: high-throughput computation of impurities in 2D materials
Do** of a two-dimensional (2D) material by impurity atoms occurs via two distinct mechanisms: absorption of the dopants by the 2D crystal or...
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A Framework for the Optimal Selection of High-Throughput Data Collection Workflows by Autonomous Experimentation Systems
Autonomous experimentation systems have been used to greatly advance the Integrated Computational Materials Engineering paradigm. This paper outlines...
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High-throughput electrochemical strategy for synthesis of iron-based nanostructures for electrocatalytic water splitting
Electrochemical water splitting has drawn significant attention for hydrogen generation as a carbon-free energy carrier for the construction of a...
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High-throughput manufacturing of epitaxial membranes from a single wafer by 2D materials-based layer transfer process
Layer transfer techniques have been extensively explored for semiconductor device fabrication as a path to reduce costs and to form heterogeneously...
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MatHub-2d: A database for transport in 2D materials and a demonstration of high-throughput computational screening for high-mobility 2D semiconducting materials
Two-dimensional materials (2DMs) provide remarkable physical and chemical properties not found in other classes of materials. A crucial property for...
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Efficient Modeling of Composition-Dependent Lattice Constants of Multicomponent Metallic Solid Solutions Based on High-Throughput Experiment
The lattice constants of metallic solid solutions are composition-dependent and closely correlated to many physical properties such as solid solution...
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High-throughput calculations of charged point defect properties with semi-local density functional theory—performance benchmarks for materials screening applications
Calculations of point defect energetics with Density Functional Theory (DFT) can provide valuable insight into several optoelectronic, thermodynamic,...
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A novel, microfluidic high-throughput single-cell encapsulation of human bone marrow mesenchymal stromal cells
The efficacy of stem-cell therapy depends on the ability of the transplanted cells to escape early immunological reactions and to be retained at the...
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Bayesian optimization with experimental failure for high-throughput materials growth
A crucial problem in achieving innovative high-throughput materials growth with machine learning, such as Bayesian optimization (BO), and automation...
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High-throughput computations and machine learning for halide perovskite discovery
Halide perovskites are materials of considerable interest for solar cells, photodiodes, LEDs, photocatalysis, and photorechargeable batteries. One of...
