Results 31 to 40 of about 4,866 (207)
ABSTRACT Methane's efficient catalytic removal is vital for sustainable development. Bimetallic catalysts, though promising for methane activation, pose a design challenge due to their complex compositional space. This work introduces an integrated framework that combines high‐throughput density functional theory (DFT) and interpretable machine ...
Mingzhang Pan +8 more
wiley +1 more source
AI in chemical engineering: From promise to practice
Abstract Artificial intelligence (AI) in chemical engineering has moved from promise to practice: physics‐aware (gray‐box) models are gaining traction, reinforcement learning complements model predictive control (MPC), and generative AI powers documentation, digitization, and safety workflows.
Jia Wei Chew +4 more
wiley +1 more source
Epistemic emotions and self-trust [PDF]
AbstractEpistemic emotions – namely affective phenomena like curiosity, certainty, and doubt – have been claimed to play a key role in epistemic evaluation and motivation, and, relatedly, to be an integral aspect of the epistemic virtues. In this paper I argue that the experience of epistemic emotions is extensively shaped by self-trust.
openaire +2 more sources
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley +1 more source
Epistemic trust can be defined as the ability to rely on social and cultural information from others. It allows to integrate the new knowledge in the vision of self and world, promoting the learning from experience. Recently, the issue of epistemic trust
Giovanna Esposito +3 more
doaj +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
Background: The pressure of coronavirus disease 2019 (COVID-19) pandemic, epidemiological and demographic changes, personnel-patient relationship in healthcare, and the development of biotechnologies do not go unnoticed by the healthcare professional ...
Ana-Beatriz Serrano-Zamago +4 more
doaj +1 more source
Abstract This paper describes a 3‐year community–partnered research initiative focused on advancing early reading, racial equity, and relationships—collectively known as the 3Rs Initiative. The project brought together researchers and community members committed to ensuring that all adults in the county embody a shared “3Rs mindset” to better support ...
Shannon B. Wanless +3 more
wiley +1 more source
Abstract Mobile technologies have become significant resources for crisis communication and social support in recent years. However, despite empirical evidence pointing to the centrality of these technologies for parenthood in everyday life, it is yet unknown how parents' coping resources play a role in the digital environment.
Daphna Yeshua‐Katz +2 more
wiley +1 more source
This study explores the origins of life by linking prebiotic chemistry, the emergence of information‐carrying molecules such as RNA and proteins, and philosophical questions about consciousness. The study emphasizes the role of molecular evolution in the Central Dogma and provides insights into the chemical origins of biology and the basis of life's ...
Harald Schwalbe +5 more
wiley +2 more sources

