Results 231 to 240 of about 1,295,192 (344)

Safety of Sodium‐Ion Batteries: Evaluation and Perspective from Component Materials to Cells, Modules, and Packs

Advanced Energy Materials, EarlyView.
This review provides a bottom‐up evaluation of sodium‐ion battery safety, linking material degradation mechanisms, cell engineering parameters, and module/pack assembly. It emphasizes that understanding intrinsic material stability and establishing coordinated engineering control across hierarchical levels are vital for preventing degradation coupling ...
Won‐Gwang Lim, Seoa Kim, Erik A. Wu, Darren H. S. Tan, Shawn Peng, Xiaolin Li   +5 more
wiley   +1 more source

A comparative machine and deep learning approach for predicting ultimate bearing capacity of shallow foundations in cohesionless soil. [PDF]

Sci Rep
El Gendy M.
europepmc   +1 more source

The Impact of Initial Margin on Derivatives Pricing with an Application of Machine Learning

, 2019
Matthias Vierkoetter
openalex   +1 more source

Prediction of Structural Stability of Layered Oxide Cathode Materials: Combination of Machine Learning and Ab Initio Thermodynamics

Advanced Energy Materials, EarlyView.
In this work, we developed a phase‐stability predictor by combining machine learning and ab initio thermodynamics approaches, and identified the key factors determining the favorable phase for a given composition. Specifically, a lower TM ionic potential, higher Na content, and higher mixing entropy favor the O3 phase.
Liang‐Ting Wu, Milica Zdravković, Dijana Milosavljević, Konstantin Köster, Olivier Guillon, Jyh‐Chiang Jiang, Payam Kaghazchi   +6 more
wiley   +1 more source

Predicting mood swings in women of reproductive age using machine learning on metabolic, menstrual, and lifestyle indicators. [PDF]

Front Glob Womens Health
AlSaad R, El Rayess F, Thomas R.
europepmc   +1 more source

Stage‐Specific Roles of Deep Eutectic Solvents in Recycling of Spent Lithium‐Ion Batteries

Advanced Energy Materials, EarlyView.
Deep eutectic solvents (DESs) offer tunable acidity, redox, and coordination properties for selective recycling of spent lithium‐ion battery cathodes. Through co‐dissolution, single‐ and two‐metal separations, DESs enable sustainable recovery of critical metals for closed‐loop regeneration of battery‐grade materials, advancing a circular economy for ...
Jingxiu Wang, Yan Wang, Yanqiu Lyu, Jianfeng Mao, Zaiping Guo   +4 more
wiley   +1 more source

Predicting adolescent depressive symptoms using teacher-reported textual descriptions of abnormal behaviors: a study based on machine learning. [PDF]

Front Artif Intell
Wumaierjiang N, Yan G, Yuan L, Song J, Hou X, Li M, Sun L, Zhou J, Yin H, Xu G.   +9 more
europepmc   +1 more source

2023–2027 CAP First Pillar Reform and Livestock Sector: Production and Economic Impacts on Italian Specialized Dairy Cattle Farms

Applied Economic Perspectives and Policy, EarlyView.
ABSTRACT The present study uses an agroeconomic supply model to assess the impacts of 2023–2027 CAP on Italian specialized dairy cattle farms. The model considers the voluntary choice of Eco‐Scheme 1, specifically addressed to livestock farms, through the implementation of binary variables.
Davide Dell'Unto, Raffaele Cortignani
wiley   +1 more source

Predictive modeling of adaptive behavior trajectories in autism: insights from a clinical cohort study. [PDF]

Transl Psychiatry
Aitken A, Lazerwitz MC, Eash A, Hattangadi N, Mukherjee P, Marco EJ, Shapiro KA.   +6 more
europepmc   +1 more source

Exploring Shape and Margin in Analog Computing Circuits: A Machine Learning-Based Approach to Design and Performance Evaluation

Abhishek Agwekar, Laxmi Singh
openalex   +1 more source