Results 171 to 180 of about 53,357 (294)

A Guide to Bayesian Optimization in Bioprocess Engineering

open access: yesBiotechnology and Bioengineering, EarlyView.
ABSTRACT Bayesian optimization has become widely popular across various experimental sciences due to its favorable attributes: it can handle noisy data, perform well with relatively small data sets, and provide adaptive suggestions for sequential experimentation.
Maximilian Siska   +5 more
wiley   +1 more source

Does ESG Investing Pay off? Comparing the Performance of ESG and Traditional ETFs Across European and US Markets

open access: yesBusiness Strategy and the Environment, EarlyView.
ABSTRACT Investors have long recognized the importance of firms in promoting sustainability, leading to the rise of socially responsible investment (SRI). Specifically, there is a growing preference for exchange‐traded funds (ETFs) that prioritize environmental, social, and governance (ESG) principles.
Sandra Tenorio‐Salgueiro   +3 more
wiley   +1 more source

Hyperbolic P ( Φ ) 2 -model on the Plane. [PDF]

open access: yesCommun Math Phys
Oh T, Tolomeo L, Wang Y, Zheng G.
europepmc   +1 more source

The Newly Discovered Pathway for Oxygen Evolution Reaction: In‐Situ/Operando Characterization Techniques for Catalyst Development

open access: yesCarbon 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
wiley   +1 more source

Uncertainty Calibration in Molecular Machine Learning: Comparing Evidential and Ensemble Approaches

open access: yesChemistry – A European Journal, EarlyView.
ABSTRACT Machine learning (ML) models are increasingly used in quantum chemistry, but their reliability hinges on uncertainty quantification (UQ). In this study, we compare two prominent UQ paradigms—deep evidential regression (DER) and deep ensembles—on the QM9 and WS22 datasets, with a specific emphasis on the role of post hoc calibration.
Bidhan Chandra Garain   +3 more
wiley   +1 more source

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