Results 151 to 160 of about 716,263 (297)

Integrating text mining and knowledge graph to enhance biopharmaceutical process optimization. [PDF]

PLoS One
Bhowmik S, Anandakrishnan M, Klein L, Arighi C, Gioioso M, Wu C, Brockmeier A, Vijay-Shanker K, Chen C.   +8 more
europepmc   +1 more source

Topology‐Aware Machine Learning for High‐Throughput Screening of MOFs in C8 Aromatic Separation

Advanced Intelligent Discovery, EarlyView.
We screened 15,335 Computation‐Ready, Experimental Metal–Organic Frameworks (CoRE‐MOFs) using a topology‐aware machine learning (ML) model that integrates structural, chemical, pore‐size, and topological descriptors. Top‐performing MOFs exhibit aromatic‐enriched cavities and open metal sites that enable π–π and C–H···π interactions, serving as ...
Yu Li, Honglin Li, Jialu Li, Wan‐Lu Li
wiley   +1 more source

Deep Learning‐Assisted Design of Mechanical Metamaterials

Advanced Intelligent Discovery, EarlyView.
This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong, Pu Wen, Zhiping Chai, Dunxuan Wu, Han Ding, Zhigang Wu   +5 more
wiley   +1 more source

Evaluation of a text-mining application for the rapid analysis of free-text wildlife necropsy reports. [PDF]

PLoS One
Saverimuttu S, McInnes K, Warren K, Yeap L, Hunter S, Gartrell B, Pas A, Chatterton J, Jackson B.   +8 more
europepmc   +1 more source

Seqenv : linking sequences to environments through text mining [PDF]

, 2016
Lucas Sinclair, Umer Zeeshan Ijaz, Lars Juhl Jensen, Marco J. L. Coolen, Cécile Gubry‐Rangin, Alica Chroňáková, Anastasis Oulas, Christina Pavloudi, Julia Schnetzer, Aaron Weimann, Ali Zeeshan Ijaz, Alexander Eiler, Christopher Quince, Evangelos Pafilis   +13 more
openalex   +1 more source

Reducing knowledge synthesis workload time using a text-mining algorithm for research location and subtopic extraction from geographically dependent research publications

, 2023
Nicholas Grokhowsky
openalex   +1 more source

Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook

Advanced Intelligent Discovery, EarlyView.
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, Xinyi Chen, Xu Ye, Yulin Yang, Bin Ai   +4 more
wiley   +1 more source

A dynamic evaluation of macao environmental policies based on text mining of the PMC knowledge framework. [PDF]

PLoS One
Cai R, Zhang T, Wang X, Zhao S, Jia Q.
europepmc   +1 more source

Text mining and rating prediction with topical user models

, 2017
Yanir Seroussi
openalex   +1 more source

Identification of Exhaled Volatile Organic Compounds Biomarkers for Lung Cancer Under Data‐Limited Conditions Using Data Augmentation and Multi‐View Feature Selection

Advanced Intelligent Discovery, EarlyView.
This work introduces a novel framework for identifying non‐small cell lung cancer biomarkers from hundreds of volatile organic compounds in breath, analyzed via gas chromatography‐mass spectrometry. This method integrates generative data augmentation and multi‐view feature selection, providing a stable and accurate solution for biomarker discovery in ...
Guancheng Ren, Bohao Liu, Zhiyuan Qu, Xue Jiang, Heng Zhao, Danyao Qu, Ruizhi Ning, Chen Su, Taoping Liu, Guangjian Zhang, Weiwei Wu   +10 more
wiley   +1 more source