Results 151 to 160 of about 16,460,866 (311)

Energy management and performance analysis of an off-grid integrated hydrogen energy utilization system

open access: yes
In integrated hydrogen energy utilization systems, due to the low efficiency of hydrogen/electricity conversion, coordination of energy management and efficient waste heat recovery is required to optimize performance.
Zhang, Leiqi,   +9 more
core   +1 more source

Adaptive Foam 3D Printing of Ultralight and Multifunctional Materials

open access: yesAdvanced Engineering Materials, EarlyView.
Adaptive foam 3D printing, enabled by expandable microspheres, imparts cellular structures to thermoplastic and thermosetting polymers, manufactured through a variety of processes including fused filament fabrication, direct ink writing, digital light processing, and inkjet printing.
Nariman Rajabifar, Amir Ameli
wiley   +1 more source

A plan for energy management in state facilities

open access: yes, 2007
Annual; Began with Sept. 4, 2007, as modified Nov. 27, 2007.; Description based on first issue; title from PDF cover (publisher's Web site, viewedOct., 2008).; Submitted by the Office of Policy and Management, Policy Development and Planning Division ...

core   +1 more source

Entropy‐Driven Design of Low‐Melting‐Point Alloys via Compositionally Complex Strategy

open access: yesAdvanced Engineering Materials, EarlyView.
Conventional low‐melting‐point alloys (LMPAs) are limited by a narrow compositional space and inherent property trade‐offs. This review presents an entropy‐driven design strategy that overcomes these limitations, ushering in a new class of low‐melting‐point compositionally complex alloys (LMCCAs).
Yinghui Shang   +6 more
wiley   +1 more source

Simulation‐Based Analysis of Insert Pull‐Out in Nickel‐Polyurethane Hybrid Foams Using CT‐Derived Geometries

open access: yesAdvanced Engineering Materials, EarlyView.
CT‐based finite element simulations combined with in situ X‐ray computed tomography are used to analyze insert pull‐out in nickel‐coated polymer foams. Despite variations in material parameters, deformation consistently concentrates within a narrow annular region around the insert.
Yannik Bautz   +4 more
wiley   +1 more source

Leveraging Symbolic Artificial Intelligence and Fuzzy Logic for Materials Science: A Review of Methods, Challenges, and Applications to Scarce and Imperfect Experimental Data

open access: yesAdvanced Engineering Materials, EarlyView.
This article explores the transformative potential of symbolic artificial intelligence (AI) in the field of materials science, particularly in leveraging experimental data. The article presents several symbolic AI models and discusses their applications in materials science.
Ahmed Amrani   +7 more
wiley   +1 more source

Oklahoma Industrial Energy Management Program

open access: yes, 1979
The need for sound energy management is no longer worthy of debate. Action is necessary and much is being done by U.S. industry. Unfortunately, however, the majority of the work is being done by the few large energy intensive industries throughout the ...
Turner, W. C.   +3 more
core  

Toward Full Interoperability in Materials Science: Integrating Workflows With Knowledge Graphs

open access: yesAdvanced Engineering Materials, EarlyView.
The connection of conceptual workflow design, portable execution, and ontology‐based semantics leading to provenance‐rich knowledge graphs are main contributors to interoperability in materials science and a prerequisite to AI‐assisted orchestration and for interoperable Materials Acceleration Platforms.
Jan Janssen   +14 more
wiley   +1 more source

Green Energy Strategy in Latvia

open access: yes
There are new objectives: energy development strategies have been made in many EU countries, the greatest challange of them is the green energy strategy by 2050 developed and established in ...
Blumberga, Andra   +2 more
core  

Optimal online energy management strategy of a fuel cell hybrid bus via reinforcement learning

open access: yes
An energy management strategy (EMS) based on reinforcement learning is proposed in this study to enhance the fuel economy and durability of a fuel cell hybrid bus (FCHB).
Yang, Jibin,   +6 more
core   +1 more source

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