Series 26/32 natural gas engines are high-power natural gas engines with independent intellectual property rights launched by Jichai to meet the demand of national energy …
Transitioning from fossil fuels to renewable energy sources is a critical global challenge; it demands advances — at the materials, devices and systems levels — for the …
To achieve the ambitious goal of carbon neutrality, the development of electric vehicles (EVs) has become imperative. [1, 2] Lithium-ion batteries (LIBs) are the most widely …
The traditional research paradigm for energy storage materials is through extensive experiments or energy-intensive simulations. This approach is undoubtedly extremely time- and resource-consuming and wastes a great deal of the researcher''s effort in the process of constant trial and error.
HSEE emergency power supply system is a product designed and developed by Jichai for the purpose of providing high-quality power equipment in the field of oil sales by implementing the …
The development of energy storage and conversion devices is crucial to reduce the discontinuity and instability of renewable energy generation [1, 2].According to the global …
Currently, ML within the field of energy storage material uses more supervised learning style algorithms. Commonly used supervised learning style algorithms include linear regression, decision tree (DT) models, NN, and others. After algorithm selection comes model training.
Here, taking dielectric capacitors and lithium‐ion batteries as two representative examples, we review substantial advances of machine learning in the research and development of energy storage ...
Dielectrics are essential for modern energy storage, but currently have limitations in energy density and thermal stability. Here, the authors discover dielectrics with …
Hybrid energy storage systems are much better than single energy storage devices regarding energy storage capacity. Hybrid energy storage has wide applications in transport, utility, and electric power grids. Also, a hybrid energy system is used as a sustainable energy source . It also has applications in communication systems and space .
select article A dual-confinement strategy based on encapsulated Ni-CoS<sub>2</sub> in CNTs with few-layer MoS<sub>2</sub> scaffolded in rGO for boosting sodium storage via rapid …
In the field of energy storage materials, while materials scientists are not as demanding of model interpretability as they are in high-risk industries, models that are too opaque will undoubtedly add to researchers'' doubts and the difficulty of the subsequent validation process.
By exploring the collaborative relationship between materials innovation and machine learning approaches, the purpose of this review is to clarify the state-of-the-art in …
Nature Reviews Materials - Machine learning is poised to accelerate the development of technologies for a renewable energy future. This Perspective highlights recent …
"Jichai Energy Storage" Achieves "China Petroleum''s First Breakthrough" Again. Read more. 2024/07/02 14:13 Happy spring festival! New starting point for a century, everything begins to …
Perovskites, a kind of most potential energy conversion materials, have permeated solar cells, catalysts, batteries and other energy fields. 174 Balachandran et al 199 …
Energy Storage Materials. 33.0 CiteScore. 18.9 Impact Factor. Articles & Issues. About. Publish. Order journal. Menu. Articles & Issues. Latest issue; ... select article Machine learning …
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