Autonomous Fabrication of Patterned Crystalline Domains in Polymers through Frontal Polymerization
Frontal polymerization can be harnessed to autonomously fabricate patterned crystalline domains in polymers, enabling the control of material properties through the manipulation of processing conditions.
Sustainable Bulk Alloy Production: Transforming Oxides into High-Performance Alloys through Innovative Solid-State Processing
A novel H2-based redox synthesis and compaction approach that merges metal extraction, alloying, and thermomechanical processing into a single solid-state operation, enabling the production of sustainable bulk alloys with application-worthy properties.
Comprehensive Scientometric Analysis of the Evolving Field of Metal-Organic Frameworks
The research presents a comprehensive scientometric analysis of the field of metal-organic frameworks (MOFs), integrating natural language processing, topic modeling, and network analysis methods, and engaging domain experts to provide in-depth interpretation and refinement of the results.
Efficient Screening of Metal Binary Alloys as Promising Anode Materials for Various Battery Systems Using Machine Learning
Machine learning-assisted screening of over 12,000 metal binary alloys identified hundreds of promising anode candidates with low potential and high specific capacity for Li, Na, K, Zn, Mg, Ca, and Al-based battery systems.
Data-Efficient and Interpretable Inverse Design of Single-Phase High-Entropy Alloys using a Disentangled Variational Autoencoder
A semi-supervised disentangled variational autoencoder is developed to efficiently and interpretably design single-phase high-entropy alloys by learning a probabilistic relationship between materials representations and target properties.
Accurate Prediction of Dielectric Tensors for Inorganic Materials Using Latent Information from a Pretrained Neural Network Potential
A graph neural network model leverages latent structural and compositional information from a pretrained universal neural network potential to accurately predict electronic, ionic, and total dielectric tensors for inorganic materials.
Controlled Doping Unlocks New Possibilities for Perovskite Optoelectronics
Controlled doping of perovskite semiconductors can tune their electrical conductivity and enable switching between positive and negative charge carrier conduction.
Achieving Controllable p- and n-type Conductivity in High-Performance Perovskite Semiconductors
Reliable control of p- and n-type conductivity in perovskite semiconductors, enabling high-performance optoelectronic devices.
Innovative Ti-Ni Strain Glass Alloy Exhibits Exceptional Strength, Flexibility, and Temperature Stability
A novel Ti-Ni strain glass alloy demonstrates an exceptional combination of ultrahigh yield strength, ultralow elastic modulus, and super-large rubber-like elastic strain, making it a promising candidate for futuristic technologies.
Accelerating Phase Transition in 2D Transition Metal Dichalcogenides through Photoredox Engineering
Illumination at 455 nm can accelerate the phase transition from semiconducting 2H to metallic 1T phase in 2D transition metal dichalcogenides by up to six orders of magnitude, enabled by a photoredox process that improves the rate-limiting charge-transfer kinetics.
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