Results 101 to 110 of about 421,961 (294)
Organic Materials of Tomorrow: Horizons of Artificial Intelligence
Advanced Materials, EarlyView.This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena +3 more
wiley +1 more source
Complex Exponential Smoothing [PDF]
, 2015 Exponential smoothing has been one of the most popular forecasting methods for business and industry. Its simplicity and transparency have made it very attractive.
Kourentzes, Nikolaos, Svetunkov, Ivan
core +2 more sources
Data‐Driven Materials Science for Energy‐Sustainable Applications
Advanced Materials, EarlyView.Data‐driven approaches powered by artificial intelligence are transforming materials discovery for energy sustainability. This review examines how auto‐generated high‐quality materials databases and domain‐specific language models accelerate research in photovoltaics, thermoelectrics, batteries and magnetic materials. Applications involve extraction of
Jacqueline M. Cole
wiley +1 more source
Exponential smoothing for irregular time series [PDF]
, 2008 summary:The paper deals with extensions of exponential smoothing type methods for univariate time series with irregular observations. An alternative method to Wright’s modification of simple exponential smoothing based on the corresponding ARIMA process ...
Cipra, Tomáš, Hanzák, Tomáš
core +1 more source
BarekengThis study aims to (i) develop predictive models using statistical and fuzzy approaches, and (ii) evaluate their forecasting performance. The data were obtained from www.investing.com for the period 1961 to 2017 and focus on five ASEAN countries ...
Tri Wijayanti Septiarini +3 more
doaj +1 more source
Prediction method for the truck's fault time in open-pit mines based on exponential smoothing neural network. [PDF]
Sci Rep, 2023 Liu W, Sun J, Huang J, Liu G, Bai R.
europepmc +1 more source
Aggregation of exponential smoothing processes with an application to portfolio risk evaluation [PDF]
In this paper we propose a unified framework to analyse contemporaneous and temporal aggregation of exponential smoothing (EWMA) models. Focusing on a vector IMA(1,1) model, we obtain a closed form representation for the parameters of the ...
SBRANA, Giacomo, SILVESTRINI, Andrea
core
Sustainable and Multifunctional Natural Macromolecular Polymers for Aqueous Zn Metal Batteries
Advanced Materials, EarlyView.We comprehensively review the structure‐function relationships and regulatory mechanism of natural macromolecular polymers in stabilizing zinc anodes at the microscopic and mesoscopic scales. The interactions among polymer structures, optimization strategies, and regulatory mechanisms are discussed systematically summarizing recent related research ...
Yunuo Shi +13 more
wiley +1 more source
A View of Damped Trend as Incorporating a Tracking Signal into a State Space Model [PDF]
Damped trend exponential smoothing has previously been established as an important forecasting method. Here, it is shown to have close links to simple exponential smoothing with a smoothed error tracking signal. A special case of damped trend exponential
Anne B. Koehler, Ralph D. Snyder
core
Tailoring Symmetry Breaking in Engineered van der Waals Superlattices
Advanced Materials, EarlyView.We pioneer a scheme to tailor superpotentials in graphene based on intrinsic substrate electronic orders rather than twist angle. The resulting superpotential folds graphene's Dirac cones to either Γ$\Gamma$ or K‐points, leading to distinct symmetry behaviors.
Keda Jin +7 more
wiley +1 more source