Results 101 to 110 of about 1,795,506 (333)
This review explores Zn anode challenges in aqueous ZIBs, including dendrites, corrosion, and side reactions, and discusses strategies for improvement through Zn anode, electrolyte, and separator modifications to enhance stability and efficiency. Abstract Aqueous rechargeable zinc‐ion batteries (ZIBs) are emerging as promising candidates for next ...
Pragati A. Shinde+5 more
wiley +1 more source
On the Limits of Artificial Intelligence
In The Emperor's New Mind, and in the later Shadows of the Mind, Sir Roger Penrose argues that human intelligence is not purely computational by appeal to Godel's Theorem. Basically the argument is this: given that every minimally complex and consistent system of proof (such as that constituted by the average PC) contains sentences that are true but ...
openaire +1 more source
This study presents novel anti‐counterfeiting tags with multilevel security features that utilize additional disguise features. They combine luminescent nanosized Ln‐MOFs with conductive polymers to multifunctional mixed‐matrix membranes and powder composites. The materials exhibit visible/NIR emission and matrix‐based conductivity even as black bodies.
Moritz Maxeiner+9 more
wiley +1 more source
Three machine learning algorithms—Logistic Boosting, Random Forest, and Support Vector Machines (SVM)—were evaluated for anomaly detection in IoT-driven industrial environments.
Mohammed Aly, Mohamed H. Behiry
doaj +1 more source
Engineering Strategies for 2D Layered Tin Halide Perovskite Field‐Effect Transistors
2D halide perovskites are promising candidates for field‐effect transistor (FET) applications due to their high stability and suppressed ion migration in the presence of bulky organic spacers. This review systematically summarizes the optimization engineering strategies of 2D perovskite FETs and future challenges, which provide guidance for developing ...
Shuanglong Wang+4 more
wiley +1 more source
Decision theory and artificial intelligence II: The hungry monkey [PDF]
Jerry Feldman, Robert F. Sproull
openalex +1 more source
Machine Learning‐Enabled Polymer Discovery for Enhanced Pulmonary siRNA Delivery
This study provides an efficient approach to train a machine learning model by merging heterogeneous literature data to predict suitable polymers for siRNA delivery. Without the need for extensive laboratory synthesis, the machine learning enabled a virtual screening and successfully predicted a polymer that is validated for effective gene silencing in
Felix Sieber‐Schäfer+10 more
wiley +1 more source
Critical remarks about a paper on limitations for artificial intelligence [PDF]
Erhard Konrad
openalex +1 more source
This study introduces a self‐powered real‐time ionic TENG temperature sensing system for flexible thermal management with high and real‐time temperature monitoring. Ionic liquids and elastomer chains are investigated under temperature via electrochemical and physical analysis, resulting in enhancing thermal sensitivity and output performance on TENG ...
Hee Jae Hwang+9 more
wiley +1 more source