Results 171 to 180 of about 34,683 (312)
Designing Memristive Materials for Artificial Dynamic Intelligence
Advanced Intelligent Discovery, EarlyView.Key characteristics required of memristors for realizing next‐generation computing, along with modeling approaches employed to analyze their underlying mechanisms. These modeling techniques span from the atomic scale to the array scale and cover temporal scales ranging from picoseconds to microseconds. Hardware architectures inspired by neural networks
Youngmin Kim, Ho Won Jang
wiley +1 more source
Linear model based on neighborhood ABS index for graph energy in benzenoid hydrocarbons and maximum index cactus graphs. [PDF]
Sci RepChu ZQ +3 more
europepmc +1 more source
Extremal Graph Theory for Metric Dimension and Diameter [PDF]
, 2010 Carmen Hernando +4 more
openalex +1 more source
Advanced Intelligent Discovery, EarlyView.Feature selection combined with machine learning and high‐throughput experimentation enables efficient handling of high‐dimensional datasets in emerging photovoltaics. This approach accelerates material discovery, improves process optimization, and strengthens stability prediction, while overcoming challenges in data quality and model scalability to ...
Jiyun Zhang +5 more
wiley +1 more source
Transitivity, contextuality and decision making. [PDF]
Philos Trans A Math Phys Eng SciSulis WH.
europepmc +1 more source
Inverse Engineering of Mg Alloys Using Guided Oversampling and Semi‐Supervised Learning
Advanced Intelligent Discovery, EarlyView.End‐to‐end design of engineering materials such as Mg alloys must include the properties, structure, and post‐synthesis processing methods. However, this is challenging when destructive mechanical testing is needed to annotate unseen data, and the processing methods for hypothetical alloys are unknown.
Amanda S. Barnard
wiley +1 more source