Results 111 to 120 of about 6,622 (258)

Machine Learning Paradigm for Advanced Battery Electrolyte Development

open access: yesCarbon Energy, EarlyView.
Electrolyte materials determine ion transport kinetics within the bulk and interphases, ultimately influencing the performance of battery systems. As data‐driven paradigms increasingly reshape materials discovery, this review provides an application‐oriented exploration of the intersection between machine learning and electrolyte science. By evaluating
Chang Su   +4 more
wiley   +1 more source

Short-Term Prediction of COVID-19 Using Novel Hybrid Ensemble Empirical Mode Decomposition and Error Trend Seasonal Model. [PDF]

open access: yesFront Public Health, 2022
Khan DM   +6 more
europepmc   +1 more source

Strategic Prioritization of Environmental, Social, and Governance Goals: A Data‐Driven Efficiency Framework

open access: yesCorporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT Organizations are increasingly required to integrate environmental, social, and governance (ESG) objectives alongside operational performance, yet empirical guidance on how firms should prioritize among ESG activities under resource constraints remains limited.
Minyoung Choi   +2 more
wiley   +1 more source

A Fast Approach to Removing Muscle Artifacts for EEG with Signal Serialization Based Ensemble Empirical Mode Decomposition. [PDF]

open access: yesEntropy (Basel), 2021
Dai Y   +7 more
europepmc   +1 more source

Molten‐Salt‐Mediated Chemical Looping Oxidative Dehydrogenation of Ethane with In‐Situ Carbon Capture and Utilization

open access: yesChemSusChem, Volume 18, Issue 6, March 15, 2025.
A sustainable alternative to steam cracking, the molten‐salt‐mediated oxidative dehydrogenation (MM‐ODH) of ethane (C2H6) in Li2CO3‐Na2CO3‐K2CO3 (LNK) couples thermal cracking with melt‐mediated CO2 capture to realize commercially competitive C2H4 and CO yields. LNK composition strongly influences MM‐ODH process outcomes.
Kyle Vogt‐Lowell   +6 more
wiley   +1 more source

Reweighting Scheme for the Calculation of Grand‐Canonical Expectation Values in Quantum Monte Carlo Simulations With a Fermion Sign Problem

open access: yesContributions to Plasma Physics, EarlyView.
ABSTRACT Ab initio path integral Monte Carlo (PIMC) simulations constitute the gold standard for the estimation of a broad range of equilibrium properties of a host of interacting quantum many‐body systems spanning a broad range of conditions from ultracold atoms to warm dense quantum plasmas.
Paul Hamann   +2 more
wiley   +1 more source

Islanding Detection in DC Microgrids Based on Empirical Mode Decomposition

open access: yesIET Renewable Power Generation
Improved efficiency, enhanced integration with distributed generations (DGs), and the proliferation of DC loads in power systems have driven a surge in the adoption of DC microgrids (DCMGs).
Hengameh Chabok   +2 more
doaj   +1 more source

COA–VMPE–WD: A Novel Dual-Denoising Method for GPS Time Series Based on Permutation Entropy Constraint

open access: yesApplied Sciences
To address the challenge of effectively filtering out noise components in GPS coordinate time series, we propose a denoising method based on parameter-optimized variational mode decomposition (VMD).
Ziyu Wang, Xiaoxing He
doaj   +1 more source

Home - About - Disclaimer - Privacy