Results 171 to 180 of about 70,698 (294)

Adversarial Erasing Enhanced Multiple Instance Learning (siMILe): Discriminative Identification of Oligomeric Protein Structures in Single Molecule Localization Microscopy

open access: yesAdvanced Intelligent Systems, EarlyView.
Hallgrimson et al. introduce a machine learning algorithm, siMILe, that takes features of single‐molecule localization microscopy localization clusters (e.g., size and sphericity) and finds the clusters that are associated with certain cell conditions (such as differential protein expression or drug treatment).
Christian Hallgrimson   +8 more
wiley   +1 more source

Artificial Intelligence for Multiscale Modeling in Solid‐State Physics and Chemistry: A Comprehensive Review

open access: yesAdvanced Intelligent Systems, EarlyView.
This review explores the transformative impact of artificial intelligence on multiscale modeling in materials research. It highlights advancements such as machine learning force fields and graph neural networks, which enhance predictive capabilities while reducing computational costs in various applications.
Artem Maevskiy   +2 more
wiley   +1 more source

ResearchConnect: An AI‐Powered Platform for Interdisciplinary Research Team Formation and Ideation Development

open access: yesAdvanced Intelligent Systems, EarlyView.
ResearchConnect is an AI‐powered platform that automates researcher profiling, interdisciplinary team formation, and early‐stage research ideation. By extracting keywords from papers and web sources, it quickly clusters researchers into coherent teams and generates collaborative ideas using large language models. Validation on NSF‐funded projects shows
Akshay Vilas Jadhav   +2 more
wiley   +1 more source

Complexity Analysis of Bubble Plumes in Power Law Fluids Based on Chaos Theory

open access: yesAsia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT In order to reveal the complexity of the internal flow of bubble plume in power law fluid, the flow characteristics and chaotic characteristics of plume are studied by experiment and theory. The chaotic characteristic parameters (correlation dimension D, K entropy, and Lyapunov exponent λ) of gas velocity under different superficial gas ...
Xin Dong   +6 more
wiley   +1 more source

Twist Engineering of Hybrid 2D van der Waals‐Transition Metal Oxide Membranes

open access: yesAdvanced Physics Research, EarlyView.
The integration of transition metal oxide membranes with 2D van der Waals materials offers exciting opportunities to study new interfacial phenomena. These interactions can create complex moiré patterns that change the materials' properties. Understanding these interactions, influenced by symmetry and distortion, poses significant challenges and ...
Mar Garcia Hernandez   +4 more
wiley   +1 more source

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