Results 171 to 180 of about 122,783,900 (271)

A Critical Assessment of Bonding Descriptors for Predicting Materials Properties

open access: yesAdvanced Intelligent Discovery, EarlyView.
The impact of new bonding descriptors in machine learning models for predicting material properties is assessed. Improvements are validated using significance tests, and new, intuitive descriptors for screening lattice thermal conductivity and projected force constants are introduced.
Aakash Ashok Naik   +6 more
wiley   +1 more source

From Data to Discovery: Machine Learning–Enabled Intelligent Characterization of Two‐Dimensional Materials

open access: yesAdvanced Intelligent Discovery, EarlyView.
Machine learning serves as a central engine for the intelligent characterization of two‐dimensional materials by integrating multimodal techniques, including optical microscopy, spectroscopy, electron microscopy, and scanning probe microscopy (SPM). This unified framework enables automated, high‐throughput, and quantitative extraction of structural ...
Zhi‐Long Cao, Jia‐Xu Yan
wiley   +1 more source

Integration of Liquid Handling Robotics, Turbidimetry, and Machine Learning Toward Inverse Design of Lower Critical Solution Temperature Polymer Formulations

open access: yesAdvanced Intelligent Systems, EarlyView.
An integrated OT‐2/plate reader platform automates LCST cloud point measurement of NIPAM‐co‐DMAEMA copolymers across high‐dimensional formulation spaces. Machine learning trained on the resulting high‐throughput datasets achieves R2 up to 0.96 and enables inverse design of polymer formulations to target transition temperatures with <1% error.
Lachlan Alexander   +2 more
wiley   +1 more source

Information framing and the impact of nutrition label serving size change

open access: yesAmerican Journal of Agricultural Economics, EarlyView.
Abstract The framing of information can significantly influence how consumers interpret and respond to it. This paper investigates how the change in serving sizes in Nutrition Facts Panel (NFP) affects consumer choices for carbonated soft drinks (CSD). We first estimate a reduced form difference‐in‐differences (DiD) model to document causal effects on ...
Yuxiang Zhang, Yizao Liu, Linlin Fan
wiley   +1 more source

Entropy inequalities for some multivariate distributions

open access: yes
In this paper, we derive some monotonicity properties of generalized entropy functionals of various multivariate distributions. These include the distributions of random eigenvalues arising in many hypothesis testing problems in multivariate analysis ...
Peddada, Shyamal Das   +1 more
core  

Linking community structure and climate vulnerability in desert plant assemblages of southern California

open access: yesAmerican Journal of Botany, EarlyView.
Abstract Premise Desert plant assemblages in southern California provide an opportunity to link patterns of community structure with climate‐driven vulnerability in a rapidly changing environment. California sustains an exceptionally diverse flora of approximately 4300 plant species, with 31% identified as endemic.
Hector Zumbado‐Ulate   +4 more
wiley   +1 more source

Multivariate linear rank statistics for profile analysis

open access: yes
For some general multivariate linear models, linear rank statistics are used in conjunction with Roy's Union-Intersection Principle to develop some tests for inference on the parameter (vector) when they are subject to certain linear constraints.
Sen, Pranab Kumar, Chinchilli, Vernon M.
core  

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