Results 71 to 80 of about 12,472 (260)

Superionic Al─O─H Compounds With Unconventional Stoichiometries Under Extreme Planetary Conditions

Advanced Science, EarlyView.
First‐principles calculations reveal stable AlOH and AlH3O4 phases and protonic superionic behavior at high pressures and temperatures. Hydrogen diffuses rapidly through crystalline Al─O frameworks, while the two compounds exhibit different superionic transition trends with pressure.
Zifan Wang, Ji Hoon Shim, Duck Young Kim
wiley   +1 more source

A Distributed Operational Method for Convex Hull Pricing Based on the Alternating Direction Method of Multipliers with Dantzig–Wolfe and Benders Decomposition

Applied Sciences
Due to the non-convex characteristic of the power system, it may be difficult for power generators to recover costs by following the system operators.
Linfeng Yang, Xinhan Lin, Shifei Chen, Zhiding Wu, Haiyan Zheng   +4 more
doaj   +1 more source

Degradation Mechanism of Phosphate‐Based Li‐NASICON Conductors in Alkaline Environment

Advanced Energy Materials, Volume 15, Issue 11, March 18, 2025.
The presence of water in the cathode of a Li‐air battery shifts reactions to produce LiOH, creating a corrosive, alkaline environment. This study investigates the alkaline stability of the common Li‐NASICON solid‐state conductor chemistries through a systematic experimental study combined with computational modeling to understand the degradation ...
Benjamin X. Lam, Zhuohan Li, Tara P. Mishra, Gerbrand Ceder   +3 more
wiley   +1 more source

A Fast and Robust Support Vector Machine With Anti-Noise Convex Hull and its Application in Large-Scale ncRNA Data Classification

IEEE Access, 2019
Support vector machine (SVM) achieves successful classification performance with the application in non-coding RNA (ncRNA) data. With the rapid increase of the species and sizes of ncRNA sequences, several fast SVM methods based on data distribution and ...
Xiaoqing Gu, Tongguang Ni, Yiqing Fan
doaj   +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

Generalizing the Convex Hull of a Sample: The R Package alphahull

Journal of Statistical Software, 2010
This paper presents the R package alphahull which implements the α-convex hull and the α-shape of a finite set of points in the plane. These geometric structures provide an informative overview of the shape and properties of the point set.
Beatriz Pateiro-López, Alberto Rodríguez-Casal   +1 more
doaj  

Harnessing Machine Learning to Understand and Design Disordered Solids

Advanced Intelligent Discovery, EarlyView.
This review maps the dynamic evolution of machine learning in disordered solids, from structural representations to generative modeling. It explores how deep learning and model explainability transform property prediction into profound physical insight.
Muchen Wang, Yue Fan
wiley   +1 more source

Fast, Nondestructive and Precise Biomass Measurements Are Possible Using Lidar-Based Convex Hull and Voxelization Algorithms

Remote Sensing
Light detection and ranging (lidar) scanning tools are available that can make rapid digital estimations of biomass. Voxelization and convex hull are two algorithms used to calculate the volume of the scanned plant canopy, which is correlated with ...
Matthew H. Siebers, Peng Fu, Bethany J. Blakely, Stephen P. Long, Carl J. Bernacchi, Justin M. McGrath   +5 more
doaj   +1 more source

A Moment-Based Shape Similarity Measurement for Areal Entities in Geographical Vector Data

ISPRS International Journal of Geo-Information, 2018
Shape similarity measurement model is often used to solve shape-matching problems in geospatial data matching. It is widely used in geospatial data integration, conflation, updating and quality assessment. Many shape similarity measurements apply only to
Zhongliang Fu, Liang Fan, Zhiqiang Yu, Kaichun Zhou   +3 more
doaj   +1 more source

The Interoperability Challenge in DFT Workflows Across Implementations

Advanced Intelligent Discovery, EarlyView.
Interoperability and cross‐validation remain major challenges in the computational materials science. In this work, we introduce a common input/output standard that enables internal translation across multiple workflow managers—AiiDA, PerQueue, Pipeline Pilot, and SimStack—while producing results in a unified schema.
Simon K. Steensen, Tushar Singh Thakur, Manuel Dillenz, Johan M. Carlsson, Celso R. C. Rêgo, Eibar Flores, Hamidreza Hajiyani, Felix Hanke, Juan María García Lastra, Wolfgang Wenzel, Nicola Marzari, Tejs Vegge, Giovanni Pizzi, Ivano E. Castelli   +13 more
wiley   +1 more source