Search results for: 'simulation energy'

This study offers an overview of high-performance plastics (HPP) demand and its prospects in various end-use sectors. It is segmented into automotive, aerospace, industrial, infrastructure and construction, medical, and electrical and electronics industries. In addition, these segments are further bifurcated into the following: • Polymer: Eth...

11 Dec 2017  |  Asia Pacific  |  Market Research

Asia-Pacific Power Cable Materials Market, Forecast to 2023

Amidst Strong Regional Economic Growth and Shift Towards Renewable Energy, XLPE Insulation and CPE Jacketing Threaten PVC’s Traditional Hegemony

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This research service focuses on power cable non-conducting materials including insulation materials and jacketing materials in the Asia Pacific region. The timeframe covered by the research is 2013 to 2023, the base year being 2016. The market is forecast from 2017 to 2023.

Data-driven materials informatics is transforming the discovery and development of advanced materials, enabling faster innovation across polymers, coatings, and catalytic systems. By integrating experimental data, computational simulations, and AI and ML models, these platforms enable predictive design, efficient formulation optimization, and accel...

The increasing demand for high performance and cost-effective materials in various industries such as consumer electronics, automotive, and others is boosting the growth and enhancing the adoption potential of conductive polymers. Moreover, the dimensional stability, structural strength, flexibility, and chemical resistance characteristics are also...

According to the United States Environment Protection Agency, ~26% of global green house gas emissions are from the transportation sector, which includes emissions from cars, trucks, ships, trains, and airplanes. Apparently, passengers cars and light-duty trucks or light commercial vehicles (LCVs) are the largest source of transportation-related e...

This Frost & Sullivan analysis examines the biochemicals market and biorefineries across the world. The primary segmentation is by the different types of biochemicals produced in biorefineries using a wide range of processes and technologies.The study explores the trends and dynamics in the biochemicals ecosystem, including feedstocks, processing t...

AI-enhanced formulation transforms how advanced materials are designed, optimized, and commercialized, shifting from empirical experimentation to predictive, data-driven discovery. By combining AI, ML, and materials informatics, formulators can simulate and optimize complex multi-component systems, accelerating performance tuning, improving sustain...

This issue of High-Tech Materials Technology Opportunity Engine (TOE) profiles significant high-tech materials (HTM) advancements for various enhanced industrial applications. The featured innovations include Valorization of Bio-Wastes for Sustainable Tire Formulations, Biodegradable Polymers for Injectable Drug Delivery Implants, CRISPR-Optimized ...

Artificial intelligence (AI)- and machine learning (ML)-based technologies are being leveraged for materials research and are replacing experimental and simulation-based research approaches. The need to accelerate materials discovery and the desired accuracy in the properties of materials is driving researchers to seek more granular insights from ...