Results 91 to 100 of about 311,740 (279)

All‐in‐One Analog AI Hardware: On‐Chip Training and Inference with Conductive‐Metal‐Oxide/HfOx ReRAM Devices

Advanced Functional Materials, EarlyView.
An all‐in‐one analog AI accelerator is presented, enabling on‐chip training, weight retention, and long‐term inference acceleration. It leverages a BEOL‐integrated CMO/HfOx ReRAM array with low‐voltage operation (<1.5 V), multi‐bit capability over 32 states, low programming noise (10 nS), and near‐ideal weight transfer.
Donato Francesco Falcone, Victoria Clerico, Wooseok Choi, Tommaso Stecconi, Folkert Horst, Laura Bégon‐Lours, Matteo Galetta, Antonio La Porta, Nikhil Garg, Fabien Alibart, Bert Jan Offrein, Valeria Bragaglia   +11 more
wiley   +1 more source

ACO-NM hybrid optimization calculation method for transit time of oxygen activation logging in CO2 injection profile [PDF]

Youqicang pingjia yu kaifa
CO2 injection in unconventional oil and gas reservoirs is a key technology for enhancing oil and gas recovery while enabling CO2 storage. Its application is becoming increasingly prevalent in the development of such reservoirs within the context of “dual
WANG Zhengyan, CHEN Meng, YANG Guofeng, LIU Guoquan, PEI Yang, CHEN Qiang
doaj   +1 more source

Sonication‐Assisted Palladium Nanogaps in a Capacitive Structure: A Tunable and Reliable Solution for Sensitive Hydrogen Monitoring

Advanced Functional Materials, EarlyView.
This study presents a capacitive hydrogen sensor with a simple structure and process. Sonication‐induced Pd nanogaps modulate the effective electrode area in response to hydrogen concentration, resulting in capacitance changes within a range predefined by physical parameters.
Sang‐kil Lee, Joonho Lee, Jiwoo Hong, Seyoung Park, Eugene Cho, Seunghyun Lee, Keunhyung Lee, Hyun‐Sook Lee, Kyu Hyoung Lee, Wooyoung Lee   +9 more
wiley   +1 more source

Optimizing Trade-Offs in Reliability, Security, and Freshness for Integrated Communication, Sensing, and Over-the-Air Computing

IEEE Access
This paper addresses the trade-offs and optimization problems among reliability, security, and information freshness in integrated communication, sensing, and over-the-air computation (AirComp) systems.
Tianyu Ren, Miao Zhang, Fangyu Wang, Kaiyuan Zheng   +3 more
doaj   +1 more source

Artificial Intelligence‐Driven Development in Rechargeable Battery Materials: Progress, Challenges, and Future Perspectives

Advanced Functional Materials, EarlyView.
AI is transforming the research paradigm of battery materials and reshaping the entire landscape of battery technology. This comprehensive review summarizes the cutting‐edge applications of AI in the advancement of battery materials, underscores the critical challenges faced in harnessing the full potential of AI, and proposes strategic guidance for ...
Qingyun Hu, Junyuan Lu, Jian Hui, Ziyuan Rao, Yang Ren, Hong Wang   +5 more
wiley   +1 more source

Disturbance rejecting PID-FF controller design of a non-ideal buck converter using an innovative snake optimizer with pattern search algorithm

Heliyon
The optimal design of a proportional-integral-derivative controller with two cascaded first-order low-pass filters (PID-FF) for non-ideal buck converters faces significant challenges, including effective disturbance rejection, robustness to parameter ...
Cihan Ersali, Baran Hekimoglu, Musa Yilmaz, Alfredo A. Martinez-Morales, Tahir Cetin Akinci   +4 more
doaj   +1 more source

Recycling of Thermoplastics with Machine Learning: A Review

Advanced Functional Materials, EarlyView.
This review shows how machine learning is revolutionizing mechanical, chemical, and biological pathways, overcoming traditional challenges and optimizing sorting, efficiency, and quality. It provides a detailed analysis of effective feature engineering strategies and establishes a forward‐looking research agenda for a truly circular thermoplastic ...
Rodrigo Q. Albuquerque, Florian Stephan, Annalena Pongratz, Christian Brütting, Katharina Krause, Holger Ruckdäschel   +5 more
wiley   +1 more source

A revamped black winged kite algorithm with advanced strategies for engineering optimization

Scientific Reports
This paper proposed the Revamped Black-winged Kite Algorithm (RBKA), a newly developed optimization intelligence method to boost the performance of classic Black-winged Kite Algorithm (BKA).
Sarada Mohapatra, Deepa Kaliyaperumal, Farhad Soleimanian Gharehchopogh   +2 more
doaj   +1 more source

Comparative analysis and optimizing of PV-wind-battery microgrid based on various metaheuristic algorithms

Results in Engineering
Developing efficient and inexpensive hybrid microgrids for distant regions presents considerable problems stemming from the intermittent characteristics of renewable energy sources, intricate system integration, and the necessity for a dependable and ...
Eman M. Hosny, M. Sami Soliman, Hala M. Abdel Mageed, Mohamed Mahmoud Samy, Almoataz Y. Abdelaziz   +4 more
doaj   +1 more source

The Synergy of Artificial Intelligence and 3D Bioprinting: Unlocking New Frontiers in Precision and Tissue Fabrication

Advanced Functional Materials, EarlyView.
Advances in integrating artificial intelligence into 3D bioprinting are systematically reviewed here. Machine learning, computer vision, robotics, natural language processing, and expert systems are examined for their roles in optimizing bioprinting parameters, real‐time monitoring, quality control, and predictive maintenance.
Joao Vitor Silva Robazzi, Irem Deniz Derman, Deepak Gupta, Logan Haugh, Yogendra Pratap Singh, Vaibhav Pal, Yasar Ozer Yilmaz, Suihong Liu, Andre Luis Dias, Rogerio Andrade Flauzino, Ibrahim Tarik Ozbolat   +10 more
wiley   +1 more source