Results 161 to 170 of about 43,844 (258)

A Large Scale Multi‐Modal Workflow for Battery Characterization: From Concept to Implementation

Advanced Energy Materials, EarlyView.
Isolated characterization techniques produce independent datasets and single‐property insights. However, progressively more holistic interpretations of battery‐material behavior is needed in the future. Here we demonstrate a coordinated multimodal workflow enabling the correlation of heterogeneous datasets and the construction of multidimensional ...
François Cadiou, Cinthya Herrera, Duncan Atkins, Elixabete Ayerbe, Giorgio Baraldi, Stéphanie Belin, Anass Benayad, Didier Blanchard, Federico Capone, Ennio Capria, Isidora Cekic‐Laskovic, Robert Dominko, Kristina Edström, Ajay Gautam, Lukas Helfen, Antonella Iadecola, Quentin Jacquet, Gregor Kapun, Xinyu Li, Aleksandar Matic, Nataliia Mozhzhukhina, Andrew J. Naylor, Poul Norby, Chris O'Keefe, Alexandre Ponrouch, Jean‐Pascal Rueff, Elena Tchernykova, Deyana Tchitchekova, Israel Temprano, Nikita Vostrov, Marnix Wagemaker, Martin Winter, Christian Wölke, Tejs Vegge, Sandrine Lyonnard   +34 more
wiley   +1 more source

Forecasting monthly runoff in a glacierized catchment: A comparison of extreme gradient boosting (XGBoost) and deep learning models. [PDF]

PLoS One
Hameed MM, Masood A, Hamid A, Elbeltagi A, Razali SFM, Salem A.   +5 more
europepmc   +1 more source

A tree based eXtreme Gradient Boosting (XGBoost) machine learning model to forecast the annual rice production in Bangladesh. [PDF]

PLoS One, 2023
Noorunnahar M, Chowdhury AH, Mila FA.
europepmc   +1 more source

Ether‐Based Electrolytes and the Solvation Structure in Sodium Ion Batteries

Advanced Energy Materials, EarlyView.
Ether electrolytes enable high‐performance sodium‐ion batteries through their unique physicochemical properties, particularly distinctive solvation structures and co‐intercalation behavior. However, the localized solvation structure and its dynamic evolution during electrochemical processes remain a “black box”.
Jiaxin Ding, John T. S. Irvine
wiley   +1 more source

The nonlinear relationship between built environment and cycling propensity for different travel purposes - based on extreme gradient boosting decision tree. [PDF]

Sci Rep
Zhang X, Yan B, Yao B, Xue J, Zheng Y, Ren C.   +5 more
europepmc   +1 more source

Trash to Treasure: PFAS‐Functionalized MOFs for Boosted Piezocatalytic H2 Production

Advanced Energy Materials, EarlyView.
A novel pollutant‐as‐functional‐additive strategy is developed via postsynthetic modification of MOF‐808(Hf) with perfluorohexanoic acid (PFHxA), a typical PFAS pollutant. The modification boosts the dipole moment of the MOFs, enhances their piezoelectricity to promote efficient electron‐hole separation, thus delivering ultrahigh piezocatalytic ...
Haijun Hu, Xiaodong Sun, Yixuan Wang, Ge Yan, Shiyuan Liu, Lingfeng Zhu, Liqun Ye, Hongwei Huang, Zhen Zhao, Xinyi Yang, Bo Zou, Tianyi Ma   +11 more
wiley   +1 more source

Assessment of resilient modulus of soil using hybrid extreme gradient boosting models. [PDF]

Sci Rep
Duan X.
europepmc   +1 more source

Machine learning–driven design of catalytic processes for sulfur dioxide oxidation: Lessons from the trenches

AIChE Journal, EarlyView.
Abstract Despite the growing use of ML in chemical engineering, the catalytic conversion of sulfur dioxide (SO2) to sulfur trioxide (SO3) remains underexplored from a data‐driven modeling perspective. This study evaluates an integrated workflow for literature‐derived SO2 oxidation data, combining data curation, preprocessing assessment, machine ...
Farough Agin, Jules Thibault, Clémence Fauteux‐Lefebvre   +2 more
wiley   +1 more source

Enhanced extreme gradient boosting based algorithm for mobility management of autonomous vehicles from sub 6 GHz to mmWave networks. [PDF]

Sci Rep
Majid SI, Majid SI, Khan S, Khan SU, Ali H, Ali A, Gohar N, Koziel S.   +7 more
europepmc   +1 more source

Enhanced biogas production via dual‐layer model predictive control for thermophilic anaerobic digesters

AIChE Journal, EarlyView.
Abstract Thermophilic anaerobic digestion (AD) is an attractive process due to its higher biogas yield compared to mesophilic digestion. To mitigate its higher heating demand and potential process instability, a dual‐layer control architecture comprising a decision‐making layer and an adaptive model predictive control (MPC) system is proposed.
Ali Moradvandi, Mohammad Amin Ghanavati, Merle de Kreuk, Ralph E. F. Lindeboom   +3 more
wiley   +1 more source