Results 221 to 230 of about 68,890 (299)
Machine Learning Paradigm for Advanced Battery Electrolyte Development
Electrolyte materials determine ion transport kinetics within the bulk and interphases, ultimately influencing the performance of battery systems. As data‐driven paradigms increasingly reshape materials discovery, this review provides an application‐oriented exploration of the intersection between machine learning and electrolyte science. By evaluating
Chang Su +4 more
wiley +1 more source
Smartwatch-based detection of loss of pulse. [PDF]
Demirel BU +4 more
europepmc +1 more source
ABSTRACT Antimicrobial peptides (AMPs) are promising alternatives to antibiotics but require precise and costly sequence control for efficacy. Synthetic polymers composed of acrylate and acrylamide offer a simpler and more time‐efficient antibacterial strategy compared to AMPs.
Jooyoung Roh +2 more
wiley +1 more source
Counting Rankings of Tree-Child Networks. [PDF]
Zhang Q, Steel M.
europepmc +1 more source
Schematic representation of artificial intelligence approaches in enzyme catalysis, integrating bibliometric analysis, emerging research trends, and machine learning tools for enzyme design, prediction, and industrial biocatalytic applications. Abstract This study systematically explores the applications of artificial intelligence (AI) in enzyme ...
Misael Bessa Sales +6 more
wiley +1 more source
A robust audio zero watermarking scheme using multi feature fingerprints and machine learning. [PDF]
Khaleel DI +3 more
europepmc +1 more source
Clathrate hydrate crystallization
Abstract Clathrate hydrate crystallization has been an area of interest to chemical engineers from the point of view of crystal structure, thermophysical properties, phase equilibria, kinetics, industrial applications, and environmental (climate change) implications.
Peter Englezos
wiley +1 more source
Uncertainty-Aware Machine Learning for Predicting Axillary Lymph Node Metastasis Using Breast MRI. [PDF]
Ünal S, Gürfidan R.
europepmc +1 more source
Abstract This study investigates the effect of moisture on CO2 adsorption in South African coals using both experimental and machine learning approaches. Three coal samples (SL, TN, and EM) with varying ranks (RoVmr: 3.49%, 1.26%, and 0.64%, respectively) were collected from different regions of South Africa.
Kasturie Premlall +3 more
wiley +1 more source
Toward the cognitive modeling of dynamic decision making. [PDF]
Deng W, Kellen D, Hotaling JM.
europepmc +1 more source

