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Aalto University1d
Three Doctoral Researchers in Machine-Learning-Driven Atomistic Simulations
The School of Chemical Engineering (CHEM School) is one of the six schools of Aalto University. It combines natural sciences and engineering in a unique way. We are now looking for: ...
IEEE2d
Detection of Fake News using Machine Learning - IEEE Xplore
Python was applied as the scripting language throughout this development. Individual Machine Learning Algorithms such as K Nearest Neighbors and Decision Trees along with in-built ensembled ...
Study uses machine learning to map pH-dependent performance of tin catalysts
Some of the most encouraging results for reaction-enhancing catalysts come from one material in particular: tin (Sn). While ...
AlphaGalileo3d
Machine Learning Potential-Driven Insights into pH-Dependent CO₂ Reduction
Researchers at Tohoku University used machine learning potential to create large-scale models of tin (Sn) catalysts under ...
Chromatography Online4d
Method Robustness, Retention Alignment, and Machine Learning in 2D LC: An HPLC 2025 Video Interview with Bob Pirok
LCGC International interviewed Bob Pirok from the University of Amsterdam, Netherlands to discuss strategies for enhancing ...
IEEE4d
Integration of Image Processing and Machine Learning Technique applied in Agriculture Sector Using Python - IEEE Xplore
Image processing has emerged as a crucial technology in agriculture, facilitating tasks such as crop monitoring, disease detection, and yield estimation. Python, with its extensive libraries and tools ...
Data-driven strategies to advance methane pyrolysis catalysts
Methane (CH4) pyrolysis, a reaction that produces hydrogen without emitting carbon dioxide, often utilizes molten media ...