Results 231 to 240 of about 1,054,196 (331)

Harnessing Synergies between Combinatorial Microfluidics and Machine Learning for Chemistry, Biology, and Fluidic Design

open access: yesChemistry–Methods, EarlyView.
This review explores the synergy of combinatorial microfluidics and machine learning, highlighting their transformative impact on high‐throughput experimentation, closed‐loop reaction optimization, and autonomous platform development. Key applications in chemical synthesis, biological research, and microfluidic design are discussed, addressing ...
Suyash S. Damir   +3 more
wiley   +1 more source

A continuous 500‐year sediment record of inundation by local and distant tsunamis in South‐Central Chile (40.1°S)

open access: yesThe Depositional Record, EarlyView.
Tsunami events over the past 500 years inundated Laguna Gemela West (Chile), leading to distinct sandy deposits in the lake record. This provides a complete perspective on tsunami inundation, including giant tsunamis, small local tsunamis and tsunamis that originated >100 km away from the site.
Jasper Moernaut   +8 more
wiley   +1 more source

Enhancing event stratigraphic correlations in the ultra‐deep Japan Trench using XRF‐CS cluster‐based chemostratigraphy

open access: yesThe Depositional Record, EarlyView.
Cluster‐based chemostratigraphy using XRF‐CS enables high‐resolution correlation of event deposits across contrasting depositional settings in the Japan Trench. This approach reveals previously unrecognised events and compositional heterogeneity, offering new insights into sediment provenance and earthquake‐triggered deposition, with implications for ...
Jyh‐Jaan Steven Huang   +4 more
wiley   +1 more source

Bayesian Geostatistics Using Predictive Stacking. [PDF]

open access: yesJ Am Stat Assoc
Zhang L, Tang W, Banerjee S.
europepmc   +1 more source

Rockburst prediction based on data preprocessing and hyperband‐RNN‐DNN

open access: yesDeep Underground Science and Engineering, EarlyView.
A data preprocessing workflow is proposed to address challenges in rockburst data analysis. Coupled algorithms preprocess the data set, and hyperband optimization is used to enhance RNN performance. Results show that preprocessing improves accuracy, while dense layers enhance model stability and prediction performance.
Yong Fan   +4 more
wiley   +1 more source

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