Results 221 to 230 of about 54,026 (308)
Publisher Correction: Denitrification Aligns with N2 Fixation in Red Sea Corals. [PDF]
Tilstra A +6 more
europepmc +1 more source
A Generalized Framework for Data‐Efficient and Extrapolative Materials Discovery for Gas Separation
This study introduces an iterative supervised machine learning framework for metal‐organic framework (MOF) discovery. The approach identifies over 97% of the best performing candidates while using less than 10% of available data. It generalizes across diverse MOF databases and gas separation scenarios.
Varad Daoo, Jayant K. Singh
wiley +1 more source
Exploring the influence of atmospheric CO<sub>2</sub> and O<sub>2</sub> levels on the utility of nitrogen isotopes as proxy for biological N<sub>2</sub> fixation. [PDF]
Wannicke N +3 more
europepmc +1 more source
An AI‐assisted approach is introduced to decode synthesis–performance relationships in metal‐organic framework‐derived supercapacitor materials using Bayesian optimization and predictive modeling, streamlining the search for optimal energy storage properties.
David Gryc +8 more
wiley +1 more source
Highly diverse diazotrophs drive high N<sub>2</sub> fixation rates in a shallow submarine hydrothermal system. [PDF]
Chen M +7 more
europepmc +1 more source
scTIGER2.0 is a deep‐learning framework that infers gene regulatory networks from single‐cell RNA sequencing data. By integrating correlation, pseudotime ordering, deep learning and bootstrap‐based significance testing, it reduces false positives and reveals directional gene interactions.
Nishi Gupta +3 more
wiley +1 more source
Predicting Performance of Hall Effect Ion Source Using Machine Learning
This study introduces HallNN, a machine learning tool for predicting Hall effect ion source performance using a neural network ensemble trained on data generated from numerical simulations. HallNN provides faster and more accurate predictions than numerical methods and traditional scaling laws, making it valuable for designing and optimizing Hall ...
Jaehong Park +8 more
wiley +1 more source
Reduced N2 fixation in the Atlantic Ocean during the Warm Late Pliocene
Yehudai M +12 more
europepmc +1 more source
A data‐efficient artificial intelligence‐assisted framework, which integrates experimental data with machine learning, is developed for the design of bimodal networked dielectric elastomers (DEs) as advanced artificial muscles. It adopts neural networks to predict DEs’ mechanical properties and support vector machines to classify electromechanical ...
Ofoq Normahmedov +8 more
wiley +1 more source
Denitrification Aligns with N2 Fixation in Red Sea Corals. [PDF]
Tilstra A +6 more
europepmc +1 more source

