Results 151 to 160 of about 8,134 (290)

Emerging Materials and Future Strategies for Solid Oxide Electrochemical Cells

Advanced Energy Materials, EarlyView.
Solid oxide electrochemical cells operate under strongly coupled electrochemical and thermodynamic conditions, where performance is constrained by interactions among crystal structure, defect chemistry, and interfacial evolution. This review, based on a structure‐defect‐property‐durability framework, reveals the roles of lattice symmetry and defect ...
Qiuchun Lu, Yufei Zhang, Han Zhao, Pooi See Lee, Daniel H.C. Chua   +4 more
wiley   +1 more source

High-Resolution Spatial Surveillance of Sexually Transmitted Disease Risk in Urban Japan Using Hierarchical Hexagonal Grids (H3) and Quantum Geographic Information System (QGIS). [PDF]

Cureus
Horiike R, Kitsuda W, Nagai N, Sato M, Kondo I, Nawate M, Bando H.   +6 more
europepmc   +1 more source

Self‐Driving Laboratory Optimizes the Lower Critical Solution Temperature of Thermoresponsive Polymers

Advanced Intelligent Discovery, EarlyView.
A low‐cost, self‐driving laboratory is developed to democratize autonomous materials discovery. Using this "frugal twin" hardware architecture with Bayesian optimization, the platform rapidly converges to target lower critical solution temperature (LCST) values while self‐correcting from off‐target experiments, demonstrating an accessible route to data‐
Guoyue Xu, Renzheng Zhang, Tengfei Luo
wiley   +1 more source

Generalised triangular grids in digital geometry

, 2004
The hexagonal and the triangular grids are duals of each other. These two grids are the first and second ones in the family of triangular grids (we can call them as one- and two-planes triangular grids). This family comes from the mapping their points to
Nagy, Benedek
core  

Evaluating Three Foundation Potentials for Predicting Selected Properties of the Co–Ni–Ru Alloy System

Advanced Intelligent Discovery, EarlyView.
Distributions of intrinsic stacking fault energies (ISFE) among different slip planes in the face‐centered cubic Co2Ni2Ru alloy, predicted by three foundation potentials (DPA, Orb, and SevenNet) and density functional theory (DFT) calculations. This study evaluates the efficacy of three foundation potentials (FPs)—SevenNet, DPA, and Orb—in predicting ...
Subah Mubassira, Thu Nguyen, Anvesh Nathani, Shoutian Sun, Ming Hu, Yanqing Su, Bin Wang, Iman Ghamarian, Shuozhi Xu   +8 more
wiley   +1 more source

Explaining the Origin of Negative Poisson's Ratio in Amorphous Networks With Machine Learning

Advanced Intelligent Discovery, EarlyView.
This review summarizes how machine learning (ML) breaks the “vicious cycle” in designing auxetic amorphous networks. By transitioning from traditional “black‐box” optimization to an interpretable “AI‐Physics” closed‐loop paradigm, ML is shown to not only discover highly optimized structures—such as all‐convex polygon networks—but also unveil hidden ...
Shengyu Lu, Xiangying Shen
wiley   +1 more source

A framework of large language model commander agent for spatial reasoning in combat simulation. [PDF]

Sci Rep
Chen YB, Ping Y, Zhou S, Jojo C.
europepmc   +1 more source

Automated Bacterial Identification and Morphological Feature Analysis in Low‐Dose Cryo‐EM Using YOLOv11

Advanced Intelligent Discovery, EarlyView.
AI‐based tools enable rapid characterization of bacterial ultrastructure in low‐dose cryogenic transmission electron microscopy. The envelope thickness tool quantifies membrane thickness and anisotropy. The flagella module analyzes filament morphology and detects cell‐flagella contacts.
Sita Sirisha Madugula, Lynnicia N. Massenburg, Spenser R. Brown, Amber N. Bible, Chanda R. Harris, Lance X. Zhang, Kiara Parker, Scott T. Retterer, Jennifer L. Morrell‐Falvey, Rama K. Vasudevan, Alexis N. Williams   +10 more
wiley   +1 more source

The Interstellar Mapping And Acceleration Probe High Energy (IMAP-Hi) Neutral Atom Imager. [PDF]

Space Sci Rev
Funsten HO, Allegrini F, Reisenfeld DB, Cardarelli G, Carpenter BC, Christian ER, Cortinas S, Craft SP, Da Rocha FD, Dauson ER, De Los Santos A, Dunn GF, Fernandes PA, Fletcher G, Ford KA, Ford J, Geros EG, Gkioulidou M, Grubbs G, Guthrie AA, Hanley JJ, Harvey DS, Hemphill RL, Hill BD, Hoeper PJ, Hom-Crosier RD, Hooks DE, Janzen PH, Kim TK, Lanctot SI, Liu Y, Maldonado CA, Martinez JP, McComas DJ, Merrill AS, Moebius E, Moorhead-Rosenberg Z, Mosley BNT, Newell RT, Noh S, Nunez C, Pacheco TR, Pontoni AA, Pope SE, Rahmanifard F, Rodriguez BG, Rodriguez H, Sandoval BF, Schultz TB, Schiferl CM, Schwadron NA, Skoug RM, Storms SA, Tapley MB, Taylor KL, Taylor TW, Toczynski W, Trevino JA, Tucker CJ, Venhaus DM, Vigil VJ, Walia NK, Wurz P.   +62 more
europepmc   +1 more source

Density of identifying codes of hexagonal grids with finite number of rows

In a graph G, a set C ⊆ V (G) is an identifying code if, for all vertices v in G, the sets N[v] ∩ C are all nonempty and pairwise distinct, where N[v] denotes the closed neighbourhood of v. We focus on the minimum density of identifying codes of infinite
Yoshiko Wakabayashi, Rudini M. Sampaio, Gabriel A.G. Sobral   +2 more
core   +1 more source