Results 91 to 100 of about 132,160 (305)
Quantifying the land‐use change due to soybean‐based biodiesel in the United States
Abstract We quantify the impact of soybean oil‐based biodiesel production on US cropland, using a method that accounts for the intermediate effect of soybean crushing facilities. Based on U.S. Environmental Protection Agency data for biodiesel production and proprietary data for soybean crushing facilities over 2011–2020, we find that the elasticities ...
Ruiqing Miao+5 more
wiley +1 more source
Maintaining instance-based constraints in the Metadata View Graph [PDF]
Jeff Pittges
openalex +1 more source
Inverse Engineering of Mg Alloys Using Guided Oversampling and Semi‐Supervised Learning
End‐to‐end design of engineering materials such as Mg alloys must include the properties, structure, and post‐synthesis processing methods. However, this is challenging when destructive mechanical testing is needed to annotate unseen data, and the processing methods for hypothetical alloys are unknown.
Amanda S. Barnard
wiley +1 more source
Revisão bibliográfica sobre metadados digitais no campo da ciência da informação, objetivando precisar as várias funcionalidades dos metadados. Empregando-se uma técnica de análise de conteúdo temática, constatou-se a recorrência de tecnologias como XML,
Luiz Fernando de Barros Campos
doaj
WebEAV: Automatic Metadata-driven Generation of Web Interfaces to Entity-Attribute-Value Databases [PDF]
P. Nadkarni+2 more
openalex +1 more source
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley +1 more source
opXRD: Open Experimental Powder X‐Ray Diffraction Database
We introduce the Open Experimental Powder X‐ray Diffraction Database, the largest openly accessible collection of experimental powder diffractograms, comprising over 92,000 patterns collected across diverse material classes and experimental setups. Our ongoing effort aims to guide machine learning research toward fully automated analysis of pXRD data ...
Daniel Hollarek+23 more
wiley +1 more source
Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang+4 more
wiley +1 more source
Biological Data and Metadata Initiatives at CSIRO Marine Research, Australia, With Implications for the Design of OBIS [PDF]
Tony Rees, Kim Finney
openalex +1 more source
SuperResNET is a powerful integrated software that reconstructs network architecture and molecular distribution of subcellular structures from single molecule localization microscopy datasets. SuperResNET segments the nuclear pore complex and corners, extracts size, shape, and network features of all segmented nuclear pores and uses modularity analysis
Yahongyang Lydia Li+6 more
wiley +1 more source