Search results for: 'chip design and Artificial Intelligence'

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 ...

This project provides an overview of the effects of generative AI (Gen AI) on the healthcare and life science industry and numerous growth opportunities, including how it could overcome regulatory and cybersecurity obstacles, address the build-borrow-buy conundrum, and impact the value chain of pharmaceutical companies, medical device developers, p...

The global food and beverages (F&B) industry continues to grow at a steady rate, driven largely by population growth, rising income levels, and changing lifestyles. Along with a shift in population demographics, consumers are becoming increasingly health-conscious and looking for premium, organic ingredients as well as the ability to customize thei...

This issue of High-Tech Materials Technology Opportunity Engine (TOE) profiles significant advancements in high-tech materials for various enhanced industrial applications. The featured innovations include Cloud-Enabled Quantum Chemistry for Scalable Simulations, Biocatalysis Approach to Convert Waste Into Sustainable Leather Alternative, Biomass F...

Virtual simulation and modeling technologies are transforming chemicals and materials research and development (R&D) by enabling precise design, testing, and optimization of materials and processes. These technologies facilitate the modeling of complex chemical reactions, allow for accurate predictions of material properties, and make production pr...

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...

11 Oct 2016  |  North America  |  Market Research

Global Conductive Polymers Market, Forecast to 2022

Demand will be Driven by Improved Processing Techniques and Design Flexibility

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This market study identifies the key trends in the global conductive polymers market. Market and technology trends in conductive polymers such as intrinsically conductive polymers (ICPs) and filled conductive polymers (FCPs) have been analyzed. Opportunity drivers and restraints affecting the market have been discussed. This study explores the curr...

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 market insight covers the North American (United States, Canada, and Mexico) automotive interior surface materials market. Research segments are analyzed by thermoformed TPO/PP, TPU by powder slush molding (PSM), PU spray, PVC by PSM, thermoformed PVC, and new TPEs. Market demand, growth trends, and forecasts (2015 to 2020) are discussed at th...