Results 41 to 50 of about 6,298,628 (254)

High‐Throughput Screening and Interpretable Machine Learning for Rational Design of Bimetallic Catalysts for Methane Activation

Advanced Science, EarlyView.
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, Tian Zhang, Jiawei Dong, Yubao Xie, Kaifeng Zhong, Wei Guan, Haiqiao Wei, Changcheng Fu, Yaqiong Su   +8 more
wiley   +1 more source

A Descriptor for Non‐Arrhenius Ion Transport Enables Design of Sulfide Superionic Conductors

Angewandte Chemie, EarlyView.
A curated database of sulfide electrolytes reveals widespread non‐Arrhenius ion transport. Meyer–Neldel deviation (MND) quantifies this behavior, distinguishes low‐conductivity and superionic regimes, and guides composition screening. An experimentally validated candidate exhibits room‐temperature conductivity of 7.21 mS cm−1, an apparent activation ...
Han Zhou, Xiaoxuan Chen, Hermann Tempel, Yong Yang, Boryann Liaw, Shicheng Yu, Rüdiger‐A. Eichel   +6 more
wiley   +2 more sources

A Closed‐Loop Framework for Inverse Design: Dynamic Training and Intelligent Optimization for Heterostructured Materials

Advanced Science, EarlyView.
To accelerate the inverse design of heterostructured metal matrix composites, a closed‐loop scientific machine learning framework integrates continual learning prediction with NSGA‐II‐PMCP optimization. The framework maps microstructural descriptors to strength, toughness, and modulus, expands high‐quality Pareto solutions, and guides experimentally ...
Zhiyan Zhong, Xueru Zheng, Xiao Zhou, Zhengheng Tao, Wan Han, Jingyi Pan, Dian Wu, Ning Gao, Lei Liu, Zhongyang Wang, Fanchao Meng, Tongxiang Fan   +11 more
wiley   +1 more source

Trend equation prediction in medical and pharmaceutical studies (the example of respiratory diseases development in children in the region)

Сеченовский вестник, 2017
The article discusses the incidence forecast on the example of respiratory diseases in children in Nizhny Novgorod. The study used the official statistics of the respiratory diseases prevalence in children of 0-14 age group in 2001-2015.
O. V. Zhukova, S. V. Kononova, T. M. Konyshkina   +2 more
doaj  

Mean Absolute Percentage Error for Regression Models

, 2020
We study in this paper the consequences of using the Mean Absolute Percentage Error (MAPE) as a measure of quality for regression models. We prove the existence of an optimal MAPE model and we show the universal consistency of Empirical Risk Minimization
Bénédicte Le Grand, Arnaud De Myttenaere, Boris Golden, Fabrice Rossi   +3 more
core  

Multiplicative Holt-Winters method: pseudo-parameter and mean absolute percentage error (MAPE) values.

, 2013
Median (and inter-quartile range) pseudo-parameter α, β, and γ values—which smooth control level, trend, and seasonal time-series components, respectively—reflect fitting of B = 500 bootstrap-generated full-length pseudo-time-series with the seasonal ...
Daniel C. Medina (81909), Seydou Doumbia (65941), Sally E. Findley (81910), Boubacar Guindo (81911)   +3 more
core   +1 more source

Pattern‐Aware Intelligence Enables Nondestructive, Rapid Quantification of High‐Aspect‐Ratio Silicon Etching

Advanced Science, EarlyView.
Pattern‐dependent etching is converted into a physical prior for intelligent reconstruction of high‐aspect‐ratio silicon structures. Combining YOLO‐Pose feature extraction with a topography network, the framework retrieves depth, sidewall angle, and scallop texture from minimal destructive observations, enabling accurate cross‐scale metrology and near ...
Shuyan He, Lang Chen, Bo Wen, Yufeng Jin, Wei Wang   +4 more
wiley   +1 more source

The Symmetric Mean Absolute Percentage Error : Unnecessary or Dangerous

The symmetric Mean Absolute Percentage Error (sMAPE) is a forecast error metric that has been proposed as an alternative to the more common Mean Absolute Percentage Error (MAPE), which is undefined whenever an actual is zero; the sMAPE does not have this
Kolassa, Stephan
core   +3 more sources

Vertical wind speed extrapolation using statistical approaches [PDF]

FME Transactions
The wind power industry has experienced a significant increase and popularity in recent times, and the latest statistics indicate that this sector is still thriving.
Nuha Hilal H., Balghonaim Adil, Pahlevi Rizka Reza, Rehman S., Mohandes M.   +4 more
doaj   +1 more source

Root-mean-square error (RMSE) or mean absolute error (MAE): when to use them or not [PDF]

, 2022
The root-mean-squared error (RMSE) and mean absolute error (MAE) are widely used metrics for evaluating models. Yet, there remains enduring confusion over their use, such that a standard practice is to present both, leaving it to the reader to decide ...
T. O. Hodson, Timothy O. Hodson, Spíchal, Luděk   +2 more
core   +2 more sources