Search
Search Results
-
Prospective on methods of design of experiments for limited data scenarios in materials design and engineering
Machine Learning (ML) is transforming materials discovery and material systems development. Generally, ML methods are best suited to projects with a...
-
New frontiers in supramolecular design of materials
The powerful functions of materials in the living world utilize supramolecular systems in which molecules self-assemble through noncovalent...
-
MLMD: a programming-free AI platform to predict and design materials
Accelerating the discovery of advanced materials is crucial for modern industries, aerospace, biomedicine, and energy. Nevertheless, only a small...
-
Materials consideration for the design, fabrication and operation of microscale robots
Microscale robots have been the focus of extensive research efforts resulting in various innovative developments that broaden their capabilities and...
-
Interpretable machine learning for materials design
Fueled by the widespread adoption of machine learning and the high-throughput screening of materials, the data-centric approach to materials design...
-
Computational Design of Battery Materials
This book presents an essential survey of the state of the art in the application of diverse computational methods to the interpretation, prediction,...
-
A snapshot review on soft materials assembly design utilizing machine learning methods
Since the surge of data in materials-science research and the advancement in machine learning methods, an increasing number of researchers are...
-
JARVIS-Leaderboard: a large scale benchmark of materials design methods
Lack of rigorous reproducibility and validation are significant hurdles for scientific development across many fields. Materials science, in...
-
Materials design and preparation of ultrathin two-dimensional metal halide perovskites
Metal halide perovskites (MHPs) have emerged as highly promising candidates for the next generation of photonics and optoelectronic devices, owing to...
-
Design and optimization of carbon materials as anodes for advanced potassium-ion storage
With the swift advancement of renewable energy and escalating demands for energy storage, potassium-ion batteries (PIBs) are increasingly recognized...
-
A Continuous Action Space Tree search for INverse desiGn (CASTING) framework for materials discovery
Material properties share an intrinsic relationship with their structural attributes, making inverse design approaches crucial for discovering new...
-
Glass and Glass Materials for Environmental Design Objects
AbstractThe requirements of ecological design for materials for various environmental objects are considered. The types of glasses and glass-ceramic...
-
Structural design of organic battery electrode materials: from DFT to artificial intelligence
AbstractRedox-active organic materials are emerging as the new playground for the design of new exciting battery materials for rechargeable batteries...
-
Design of Battery Materials via Defects and Do**
This chapter illustrates the use of defect physics as a conceptual and theoretical framework for understanding and designing battery materials. It...
-
Emerging Circuit Design with New Materials for Memory Semiconductor Industry
This chapter explores the emerging trends in circuit design for the memory semiconductor industry, focusing on the integration of new materials. The...
-
Inverse design of truss lattice materials with superior buckling resistance
Manipulating the architecture of materials to achieve optimal combinations of properties (inverse design) has always been the dream of materials...
-
Spectral simulation and materials design for camouflage textiles coloration against materials of multidimensional combat backgrounds in visible and near infrared spectrums
Visible and near infrared spectra of “sixteen materials for textile coloration/finishing/patterning” such as titanium dioxide, calcium oxide,...
-
A review on the rational design and fabrication of nanosized high-entropy materials
High-entropy materials are mainly composed of high-entropy alloys (HEAs) and their derivates. Among them, HEAs account for a big part. As a new kind...
-
Investigation on improving the comprehensive performance of environmental barrier coating materials by high-entropy multiphase design
It is difficult to obtain a single-phase environmental barrier coating material that simultaneously offers the advantages of low thermal...
-
End-to-end differentiability and tensor processing unit computing to accelerate materials’ inverse design
Numerical simulations have revolutionized material design. However, although simulations excel at map** an input material to its output property,...
