Results 121 to 130 of about 564 (258)

Machine Learning Paradigm for Advanced Battery Electrolyte Development

Carbon Energy, EarlyView.
Electrolyte materials determine ion transport kinetics within the bulk and interphases, ultimately influencing the performance of battery systems. As data‐driven paradigms increasingly reshape materials discovery, this review provides an application‐oriented exploration of the intersection between machine learning and electrolyte science. By evaluating
Chang Su, Mengfan Pei, Keyu Chen, Xigao Jian, Fangyuan Hu   +4 more
wiley   +1 more source

An Analogue of the Law of the Iterated Logarithm [PDF]

Proceedings of the American Mathematical Society, 1955
openaire   +1 more source

Perovskite Photodetectors at the Intelligence Frontier: From Tunable Materials to Adaptive Optoelectronic Systems

Carbon Energy, EarlyView.
This comprehensive review presents a progressive roadmap for perovskite vision detectors. Centered on perovskite‐based artificial perception, the graphic illustrates a systematic evolution: starting with fundamental material engineering and device architectures, advancing toward complex functional strategies such as flexible neuromorphic imaging ...
Chenglong Li, Wei Qu, Deepak Kumar, Naini Jain, Nur Wardina Syahirah binti Mohamad Fadil, Nur Najiha binti Ahmad Rasid, Emannuel Kymakis, Maria Vasilopoulou, Chunxiong Bao, Feng Gao, Peng Gao, Sanjeev Kumar Sharma, Mohammad Khaja Nazeeruddin, Abd. Rashid bin Mohd Yusoff, Haotong Wei   +14 more
wiley   +1 more source

Gibbs energy minimization thermodynamics for CO2 capture by aqueous amines: Conservation laws, concentration variables, and parameter consistency

The Canadian Journal of Chemical Engineering, EarlyView.
We clarify how Gibbs‐energy‐minimization models for aqueous‐amine CO2 capture fail when conservation constraints and concentration conventions are inconsistent. Exact standard‐state conversions and Reaktoro case studies show that P(CO2)‐loading fits can mask non‐unique parameters and wrong speciation, motivating complete water‐inclusive formulations ...
William R. Smith, William Rutherford, Allan M. M. Leal   +2 more
wiley   +1 more source

Determining the Conclusiveness of Systematic Review Evidence : A Scoping Review of Methodological Approaches. [PDF]

Ann Intern Med
Ban JW, Madsen T, Robinson KA, Lund H.
europepmc   +1 more source

Finding a Landing Site in an Urban Area: A Multi-Resolution Probabilistic Approach. [PDF]

Sensors (Basel), 2022
Pinkovich B, Matalon B, Rivlin E, Rotstein H.   +3 more
europepmc   +1 more source

Harnessing machine learning and optimization for informed chemical engineering decisions: A styrene reactor analysis

The Canadian Journal of Chemical Engineering, EarlyView.
This study shows that integrating multiple machine learning models with optimization and decision‐making improves chemical process design, and that a consensus‐based strategy across models provides more robust and reliable operating recommendations than any single model, especially under limited or noisy data conditions.
Farough Agin, Clémence Fauteux‐Lefebvre, Jules Thibault   +2 more
wiley   +1 more source

How Long does it Take to Train an Elephant Random Walk. [PDF]

J Stat Phys
Fang Z.
europepmc   +1 more source

Copula‐based joint modelling of emergency department visits with time‐varying dependence

Canadian Journal of Statistics, EarlyView.
Abstract Jointly modelling multiple correlated count time series is essential in health services research, where outcomes like emergency visits for mental health and substance use often evolve together. Ignoring these dependencies can obscure meaningful trends and limit the effectiveness of policy evaluation.
Guanjie Lyu, Cindy Feng, Lihui Liu
wiley   +1 more source

Failure Lifetime Evaluation Based on Accelerated Generalized Wiener Degradation Process Models with Random Diffusion Coefficients. [PDF]

Entropy (Basel)
Li S, Yan Z.
europepmc   +1 more source