Ensemble‐based soil liquefaction assessment: Leveraging CPT data for enhanced predictions
Civil Engineering Design, Volume 7, Issue 1, Page 23-35, March 2025.Abstract This study focuses on predicting soil liquefaction, a critical phenomenon that can significantly impact the stability and safety of structures during seismic events. Accurate liquefaction assessment is vital for geotechnical engineering, as it informs the design and mitigation strategies needed to safeguard infrastructure and reduce the risk ...
Arsham Moayedi Far, Masoud Zare
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Carbon Energy, EarlyView.This study introduces a newly discovered oxide path mechanism (OPM) for the oxygen evolution reaction (OER), emphasizing the role of in‐situ and operando characterization techniques in unraveling catalyst behavior under realistic conditions. The integration of advanced spectroscopic methods provides new mechanistic insights for the design of highly ...
Rabia Khalid +4 more
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Zonation of the active methane-cycling community in deep subsurface sediments of the Peru trench. [PDF]
Front Microbiol, 2023 Lever MA +3 more
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Carbon Energy, EarlyView.Atomic‐scale design principles for LOHC dehydrogenation: Tailoring geometric and electronic effects in metal catalysts to bridge the molecular structure of LOHC and dehydrogenation performance. ABSTRACT The advancement of hydrogen‐based energy systems necessitates innovative solutions for safe, efficient hydrogen storage and transportation.
Yongxiao Tuo +8 more
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Mid‐Infrared Spectroscopy and Machine Learning for Chlorogenic Acid Quantification in Coffee
Chemie Ingenieur Technik, EarlyView.Chlorogenic acid (CGA) concentration in coffee was predicted using mid‐infrared (MIR) spectroscopy and a machine learning approach. Forty‐four roasting stages (140–220 °C) plus a green coffee control were analyzed. A multilayer perceptron regressor, trained on preprocessed MIR data, outperformed traditional peak analysis, enabling accurate and ...
Deborah Herdt +6 more
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Structural Responses of Nucleic Acids to Mars-Relevant Salts at Deep Subsurface Conditions. [PDF]
Life (Basel), 2022 Knop JM +4 more
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Dilated Spatial Generative Adversarial Networks for Ergodic Image Generation
, 2018 Generative models have recently received renewed attention as a result of adversarial learning. Generative adversarial networks consist of samples generation model and a discrimination model able to distinguish between genuine and synthetic samples.
Gasso, Gilles +3 more
core
The DNA event horizon in the Guaymas Basin subsurface biosphere: technical advances and re-defined limits in bulk extractions of nucleic acids from deep marine sediments [PDF]
Gustavo A. Ramírez +8 more
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Bacterial Clathrate-Binding Proteins in the Deep Subsurface Biosphere: Implications for Gas Clathrate Stability and Habitability [PDF]
, 2022 Abigail J. Johnson +4 more
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