Results 171 to 180 of about 70,698 (294)
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
Concrete Mesostructure Modeling via Random Radius Field and Rigid Body Dynamics Packing. [PDF]
Zhang Z +5 more
europepmc +1 more source
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
Mesoscopic Contact Dynamics of Emulsions: Influence of Droplet Size on Nanoindentation Behavior. [PDF]
Kimoto Y +4 more
europepmc +1 more source
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
Multiscale spatiotemporal evolution and patterns of riverine ecological security in Nanjing Yangtze river basin. [PDF]
Sun C +5 more
europepmc +1 more source
Promotional Effect of Mn On NH<sub>3</sub> Synthesis Over Inverse Iron Catalyst. [PDF]
Jing Y, Hattori M, Hara M.
europepmc +1 more source
Mesoscopic Heterogeneous Modeling Method for Polyurethane-Solidified Ballast Bed Based on Virtual Ray Casting Algorithm. [PDF]
Xu Y +6 more
europepmc +1 more source
Complexity Analysis of Bubble Plumes in Power Law Fluids Based on Chaos Theory
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
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

