Results 161 to 170 of about 526,533 (222)
Nanoparticles have vast applications in medicine and technology, but synthesizing them with precise properties is challenging. This review highlights how artificial intelligence (AI) can optimize nanoparticle synthesis. It highlights the use of AI to improve nanoparticle production, citing successful examples like AI models enhancing carbon nanotube ...
Vaisali Chandrasekar+7 more
wiley +1 more source
ABSTRACT To address the challenge of parallel parking in narrow environments, a multi‐segment path planning method is proposed for autonomous unmanned vehicles (AUVs), which integrates circular arc and dual clothoid curves, ensuring continuous path curvature and minimal longitudinal space occupancy.
Ziyang Zhang+4 more
wiley +1 more source
Abstract Non‐take‐up of social benefits is a significant policy issue caused by factors such as lack of awareness, compliance costs, and stigma. While public information campaigns, default options, and in‐person assistance are increasingly used, their effectiveness remains poorly understood.
Pierre‐Marc Daigneault+4 more
wiley +1 more source
This study shows a path to greater sustainability in PV module materials that have passed the IEC 61730 and IEC 61215 test procedures. A lead‐free ECA solar cell connection, EVA based on 60% renewable raw materials, and a backsheet made from 30% recycled PET show no weaknesses compared with lead solder and petroleum‐based polymers.
R. Koepge+3 more
wiley +1 more source
ABSTRACT Rationale To increase the confidentiality level of molecular tags, binary information can be hidden in sequence‐defined oligomers using isobaric monomers including a photo‐sensitive one, which mass can be modified upon light irradiation. Reading such secured data requires light edition prior to MS/MS sequencing, which was investigated here in ...
Clothilde Comby‐Zerbino+3 more
wiley +1 more source
Computational Drug Repositioning in Cardiorenal Disease: Opportunities, Challenges, and Approaches
PROTEOMICS, EarlyView.
Paul Perco+7 more
wiley +1 more source
While the information and computing revolution is often credited to Moore’s Law scaling, the complexity challenge has been actually addressed by electronic design automation, which is capable of transforming complex system-on-chip designs from high-level functional specifications into detailed geometric descriptions.
Marta Ortín+7 more
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ACM Trans. Design Autom. Electr. Syst., 2022
Driven by Moore’s law, the chip design complexity is steadily increasing. Electronic Design Automation (EDA) has been able to cope with the challenging very large-scale integration process, assuring scalability, reliability, and proper time-to-market ...
Daniela Sánchez+4 more
semanticscholar +1 more source
Driven by Moore’s law, the chip design complexity is steadily increasing. Electronic Design Automation (EDA) has been able to cope with the challenging very large-scale integration process, assuring scalability, reliability, and proper time-to-market ...
Daniela Sánchez+4 more
semanticscholar +1 more source
A Survey of Graph Neural Networks for Electronic Design Automation
Workshop on Machine Learning for CAD, 2021Driven by Moore’s law, the chip design complexity is steadily increasing. Electronic Design Automation (EDA) has been able to cope with the challenging very large-scale integration process, assuring scalability, reliability, and proper time-to-market ...
Daniela Sanchez Lopera+5 more
semanticscholar +1 more source
A Survey of Machine Learning Methods and Applications in Electronic Design Automation
Automation, Control, and Information Technology, 2021Over the past decades, the domain of electronic circuits design continues transitioning to wider usage of the automation tools to overcome the human level limitations, where integrated circuits (IC) were designed by hand and manually arranged. Experts in
Vladyslav Hamolia, V. Melnyk
semanticscholar +1 more source