Results 151 to 160 of about 82,066 (263)

Experimental assessment of chloride and sulfate ions on the durability of CO2 carbonated backfill materials. [PDF]

PLoS One
Ngo I, Yang R, Yu K, Zhao Z, Zheng K, Zhang Z, Peng C, Zhang H.   +7 more
europepmc   +1 more source

Exploring Quantum Support Vector Regression for Predicting Hydrogen Storage Capacity of Nanoporous Materials

Advanced Intelligent Discovery, EarlyView.
In this study we employed support vector regressor and quantum support vector regressor to predict the hydrogen storage capacity of metal–organic frameworks using structural and physicochemical descriptors. This study presents a comparative analysis of classical support vector regression (SVR) and quantum support vector regression (QSVR) in predicting ...
Chandra Chowdhury
wiley   +1 more source

Bioremediation of heavy metal contamination: recent developments and future directions. [PDF]

Sci Rep
Xu X, Augustyniak M, Chakrabarty D, Chowdhury A, Gunasekaran S.   +4 more
europepmc   +1 more source

Decoding Tattoo and Permanent Makeup Pigments: Linking Physicochemical Properties to Absorption, Distribution, Metabolism, and Elimination Profiles Using Quantitative Structure–Activity Relationship (QSAR)‐Based New Approach Methodologies (NAMs)

Advanced Intelligent Discovery, EarlyView.
This study applies QSAR‐based new approach methodologies to 90 synthetic tattoo and permanent makeup pigments, revealing systemic links between their physicochemical properties and absorption, distribution, metabolism, and elimination profiles. The correlation‐driven analysis using SwissADME, ChemBCPP, and principal component analysis uncovers insights
Girija Bansod, Ajay Vikram Singh, Preeti Bhardwaj, Tulika Rai, Sweta Vijay Nakhale, Amruta Shelar, Rajendra Patil, Peter Laux, Andreas Luch, Christopher J. Osgood, Michael W. Stacey   +10 more
wiley   +1 more source

Thermal, geological and biological processes shape the internal fabric and fluorescence of amber from La Cumbre, Dominican Republic. [PDF]

Sci Rep
Natkaniec-Nowak L, George C, Pańczak J, Dumańska-Słowik M, Sęk MP, Kosakowski P.   +5 more
europepmc   +1 more source

Green Mining, Smart Future

Green and Smart Mining Engineering
Meifeng Cai, Emmanuel Detournay
openaire   +1 more source

Universally Accurate or Specifically Inadequate? Stress‐Testing General Purpose Machine Learning Interatomic Potentials

Advanced Intelligent Discovery, EarlyView.
We investigate MACE‐MP‐0 and M3GNet, two general‐purpose machine learning potentials, in materials discovery and find that both generally yield reliable predictions. At the same time, both potentials show a bias towards overstabilizing high energy metastable states. We deduce a metric to quantify when these potentials are safe to use.
Konstantin S. Jakob, Karsten Reuter, Johannes T. Margraf   +2 more
wiley   +1 more source

Science competition-driven teaching optimization for mining engineering. [PDF]

Sci Rep
Li X, Yan S, Liu S, Zhou S, Chen C, Liu X, Wang R.   +6 more
europepmc   +1 more source

Harnessing Large Language Models to Advance Microbiome Research: From Sequence Analysis to Clinical Applications

Advanced Intelligent Discovery, EarlyView.
Large language models are transforming microbiome research by enabling advanced sequence profiling, functional prediction, and association mining across complex datasets. They automate microbial classification and disease‐state recognition, improving cross‐study integration and clinical diagnostics.
Jieqi Xing, He Wang, Yangyang Sun, Xiaoquan Su, Shunyao Wu   +4 more
wiley   +1 more source

Global-Local Feature Fusion Network for Remote Sensing Image Change Detection in Open-Pit Mining Areas. [PDF]

Sensors (Basel)
Zheng Z, Yang J, Lv G, Li Q, Wang Y.
europepmc   +1 more source