Results 221 to 230 of about 3,570,097 (384)

Enhanced Performance and In Situ TEM Investigation in High Entropy Alloy Electrode Based Memristors

Advanced Functional Materials, EarlyView.
This study utilizes in situ TEM, EDS, EELS, and APT to reveal switching in HEA/ZnO/Nb:STO RRAM. High diffusivity of Mn lowers the SET voltage to 1.5 V. Cr stabilizes the oxygen layer, while Fe, Co, and Ni stabilize the electrode. Based on these observations, the device achieves 30 ns switching, a 10⁷ memory window, and excellent endurance, being ...
Jing‐Yuan Tsai, Chun‐Wei Huang, Jui‐Yuan Chen, Che‐Hung Wang, Ping‐Hsien Wu, Jia‐Wei Chen, Yu‐Chen Yang, Tung‐huan Chou, Kun‐lin Lin, Ying‐Hao Chu, Wen‐Wei Wu   +10 more
wiley   +1 more source

Design and Applications of Multi‐Frequency Programmable Metamaterials for Adaptive Stealth

Advanced Functional Materials, EarlyView.
This article provides a comprehensive overview of metamaterials, including their fundamental principles, properties, synthesis techniques, and applications in stealth, as well as their challenges and future prospects. It covers topics that are more advanced than those typically discussed in existing review articles, while still being closely connected ...
Jonathan Tersur Orasugh, Ankita Mohanty, Amit Malakar, Suryasarathi Bose, Suprakas Sinha Ray   +4 more
wiley   +1 more source

Artificial Intelligence and Male Infertility. [PDF]

JBRA Assist Reprod
Taitson PF.
europepmc   +1 more source

Smart, Bio‐Inspired Polymers and Bio‐Based Molecules Modified by Zwitterionic Motifs to Design Next‐Generation Materials for Medical Applications

Advanced Functional Materials, EarlyView.
Bio‐based and (semi‐)synthetic zwitterion‐modified novel materials and fully synthetic next‐generation alternatives show the importance of material design for different biomedical applications. The zwitterionic character affects the physiochemical behavior of the material and deepens the understanding of chemical interaction mechanisms within the ...
Theresa M. Lutz, Jonas De Breuck, Sahar Salehi, Meike N. Leiske   +3 more
wiley   +1 more source

Uncertainty in artificial intelligence [PDF]

, 1994
Simon Parsons
openalex   +1 more source

Viewpoint: Artificial intelligence or cosmogenic intelligence? [PDF]

Biomater Transl
Xia Z.
europepmc   +1 more source

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

Advanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore, Cristiano Pesce, Antonietta Greco, Claudia Pisante, Greta Avancini, Valentina Di Francesco, Yosi Shamay, Paolo Decuzzi   +7 more
wiley   +1 more source

Report on workshop on high performance computing and communications for grand challenge applications: computer vision, speech and natural language processing, and artificial intelligence [PDF]

, 1993
Benjamin W. Wah, Teng Huang, Aravind K. Joshi, Dan Moldovan, John Aloimonos, Růžena Bajcsy, D.H. Ballard, Doug DeGroot, Kenneth DeJong, Charles R. Dyer, Scott E. Fahlman, Ralph Grishman, Lynette Hirschman, Richard E. Korf, S. Levinson, Daniel P. Miranker, N. Morgan, Sergei Nirenburg, Tomaso Poggio, Edward M. Riseman, Craig Stanfill, Salvatore J. Stolfo, Steven L. Tanimoto, Charles Weems   +23 more
openalex   +1 more source

Artificial intelligence for glaucoma. [PDF]

Cochrane Database Syst Rev
Vemulapalli K, Gandhewar R, Safitri A, Ng SM, Michelessi M, Azuara-Blanco A, Liu SH, Virgili G, Hu K.   +8 more
europepmc   +1 more source

Electron Compensation Enhanced Triboelectric Sensor Assisted by Machine Learning for Tactile Perception Recognition

Advanced Functional Materials, EarlyView.
Integrating polyethyleneimine and carbon black into polyurethane enhances electron transport and mechanical durability. The resulting sensor achieves significantly improved electrical signal and sensitivity, enabling efficient machine learning‐based tactile signal recognition in bionic applications.
Xiangkun Bo, Wei Wang, Hong Zhao, Ruiqin Zhang, Walid A. Daoud   +4 more
wiley   +1 more source