Results 121 to 130 of about 10,154 (312)

Physical Origin of Temperature Induced Activation Energy Switching in Electrically Conductive Cement

open access: yesAdvanced Science, EarlyView.
The temperature‐induced Arrhenius activation energy switching phenomenon of electrical conduction in electrically conductive cement originates from structural degradation within the biphasic ionic‐electronic conduction architecture and shows percolation‐governed characteristics: pore network opening dominates the low‐percolation regime with downward ...
Jiacheng Zhang   +7 more
wiley   +1 more source

Direct Recycling of Mixed‐Oxide Cathodes: Balancing Cost, Performance and Environmental Trade‐Offs

open access: yesAdvanced Science, EarlyView.
Direct regeneration routes for mixed‐oxide lithium‐ion battery cathodes are systematically compared using harmonized techno‐economic, electrochemical, and environmental metrics. Solid‐state, hydrothermal, molten salt, electrochemical, and chemical relithiation methods are benchmarked to identify performance, cost, and sustainability trade‐offs.
Evgenii Beletskii   +8 more
wiley   +1 more source

Feline‐Inspired Robot Enabled by Combustion‐Driven Actuators for Agile Motion and High‐Payload Obstacle Traversal

open access: yesAdvanced Science, EarlyView.
Inspired by nature's competitive maneuvers, this study introduces a combustion‐driven soft actuator that powers a multi‐modal “Jump‐and‐Fly Catbot” (JFC). With millisecond response, high‐force output (over 70 times its weight) and precise control (error within 5%), the robot can jump, fly, hover, and escape from challenging environments, achieving ...
Hongkuan Ma   +4 more
wiley   +1 more source

Compliant Polymeric Sheet‐Based Heat Exchangers

open access: yesAdvanced Science, EarlyView.
This work presents flexible, transparent, and deployable polymer heat exchangers that achieve a heat transfer capacity per cost up to 4x higher than the state of the art, surpassing both metal and other polymer counterparts. The tube‐on‐tube design enables efficient heat transfer without flow occlusion, while the lightweight, corrosion‐resistant, and ...
Richard J. Fontenot   +5 more
wiley   +1 more source

Hybrid Flow-Shop Scheduling Problem Based on Genetic Algorithm [PDF]

open access: yesProceedings of the 2017 2nd International Conference on Materials Science, Machinery and Energy Engineering (MSMEE 2017), 2017
openaire   +1 more source

From Design to Prototype: High‐Sensitivity Tri‐Mode Operation Photodetectors Based on 1T‐2H Hybrid MoS2

open access: yesAdvanced Science, EarlyView.
This work demonstrates a phase‐engineered MoS2 photodetector that dynamically switches among photocapacitive (PCC), photovoltaic (PV), and photoconductive (PC) modes. By transforming the traditionally parasitic capacitance into an active signal source, the device achieves self‐powered, high‐sensitivity detection with a fast response of 19.2 ms, and a ...
Xinyu Li   +16 more
wiley   +1 more source

Atomic Defects in Layered Transition Metal Dichalcogenides for Sustainable Energy Storage and the Intelligent Trends in Data Analytics

open access: yesAdvanced Science, EarlyView.
This review comprehensively summarizes the atomic defects in TMDs for their applications in sustainable energy storage devices, along with the latest progress in ML methodologies for high‐throughput TEM data analysis, offering insights on how ML‐empowered microscopy facilitates bridging structure–property correlation and inspires knowledge for precise ...
Zheng Luo   +6 more
wiley   +1 more source

In Situ Quantization with Memory‐Transistor Transfer Unit Based on Electrochemical Random‐Access Memory for Edge Applications

open access: yesAdvanced Science, EarlyView.
By combining ionic nonvolatile memories and transistors, this work proposes a compact synaptic unit to enable low‐precision neural network training. The design supports in situ weight quantization without extra programming and achieves accuracy comparable to ideal methods. This work obtains energy consumption advantage of 25.51× (ECRAM) and 4.84× (RRAM)
Zhen Yang   +9 more
wiley   +1 more source

Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy

open access: yesAdvanced Science, EarlyView.
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu   +4 more
wiley   +1 more source

ROBUST-HYBRID GENETIC ALGORITHM FOR A FLOW-SHOP SCHEDULING PROBLEM (A Case Study at PT FSCM Manufacturing Indonesia)

open access: yesJurnal Teknik Industri, 2007
This paper discusses the application of Robust Hybrid Genetic Algorithm to solve a flow-shop scheduling problem. The proposed algorithm attempted to reach minimum makespan. PT.
Johan Soewanda   +2 more
doaj  

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