Results 81 to 90 of about 29,740 (183)
This work demonstrates the application of neural ordinary differential equations (neural ODEs) for learning hydrocracking reaction kinetics directly from data, achieving robust predictions under noise and sparsity while preserving mechanistic interpretability through gradient‐based analysis of temperature‐ and concentration‐dependent reaction rates ...
Souvik Ta +2 more
wiley +1 more source
Ghost effect from Boltzmann theory
Abstract Taking place naturally in a gas subject to a given wall temperature distribution, the “ghost effect” exhibits a rare kinetic effect beyond the prediction of classical fluid theory and Fourier law in such a classical problem in physics. As the Knudsen number ε$\varepsilon$ goes to zero, the finite variation of temperature in the bulk is ...
Raffaele Esposito +3 more
wiley +1 more source
ABSTRACT Objective Eating disorders (ED) present a significant health burden to children, adolescents, and young adults globally. Despite the importance of disordered weight control behaviors (DWCB) in ED development, little is known about the progression from DWCB to ED.
Ye Shen +5 more
wiley +1 more source
Under the stepwise optimization strategy, (Sn, Te) co‐alloying functions as the primary initiative to enhance the power factor (PF), while the subsequent incorporation of AgCuTe operates as a synergistic maneuver to suppress lattice thermal conductivity (κlat), thereby concomitantly boosting the dimensionless figure of merit (ZT).
Wenying Wang +7 more
wiley +1 more source
ABSTRACT Earthquakes pose a major threat to urban areas, causing fatalities, injuries, and significant economic losses. This study proposes a Gaussian process parametrized by deep neural networks (DNN–GP) as an efficient surrogate for assessing seismic losses of building structures at a regional scale.
Byeongseong Choi +2 more
wiley +1 more source
Abstract Efforts to use transcriptomics for toxicity testing have classically relied on the assumption that chemicals consistently produce characteristic transcriptomic signatures that are reflective of their mechanism of action. However, the degree to which transcriptomic responses are conserved across different test methodologies has seldom been ...
Paul Béziers +10 more
wiley +1 more source
ABSTRACT Artificial intelligence (AI) has emerged as a paradigm‐shifting force in enzyme engineering, enabling data‐driven prediction of catalytic activity, stability, and substrate specificity. By integrating large‐scale datasets from structured databases (e.g., PDB, BRENDA) and high‐throughput experimentation (e.g., deep mutational scanning ...
Xiafeng Lu +11 more
wiley +1 more source
Parameterization of cell-free systems with time-series data using KETCHUP. [PDF]
Hu M, Jilani SB, Olson DG, Maranas CD.
europepmc +1 more source
Forecasting Natural Gas Prices in Real Time
ABSTRACT This paper provides a comprehensive analysis of the forecastability of the real price of natural gas in the United States at the monthly frequency considering a universe of models that differ in complexity and economic content. We find that considerable reductions in mean‐squared prediction error relative to a no‐change benchmark can be ...
Christiane Baumeister +3 more
wiley +1 more source
Coalition of explainable artificial intelligence and quantum computing in precision medicine. [PDF]
Ray S +3 more
europepmc +1 more source

