Results 121 to 130 of about 7,647 (298)
Friction and wear of hexagonal metals and alloys as related to structure and lattice parameters in vacuum to 10-10 millimeter of mercury [PDF]
Friction and wear characteristics of metals and alloys related to structure and lattice parameters in high ...
Buckley, D. H., Johnson, R. L.
core +1 more source
Advanced Energy and Sustainability Research, EarlyView.Triboelectric nanogenerators are vital for sustainable energy in future technologies such as wearables, implants, AI, ML, sensors and medical systems. This review highlights improved TENG neuromorphic devices with higher energy output, better stability, reduced power demands, scalable designs and lower costs.
Ruthran Rameshkumar +2 more
wiley +1 more source
Advanced Intelligent Discovery, EarlyView.Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley +1 more source
Flexible Memory: Progress, Challenges, and Opportunities
Advanced Intelligent Discovery, EarlyView.Flexible memory technology is crucial for flexible electronics integration. This review covers its historical evolution, evaluates rigid systems, proposes a flexible memory framework based on multiple mechanisms, stresses material design's role, presents a coupling model for performance optimization, and points out future directions.
Ruizhi Yuan +5 more
wiley +1 more source
High temperature thermocouple research and development program summary report [PDF]
High temperature thermocouple research and development program - thermocouples with thermochemically formed tungsten sheath and tungsten rhenium center ...
Smith, R. R., Jr.
core +1 more source
Advanced Intelligent Discovery, EarlyView.Machine learning predicts activation energies for key steps in the water‐gas shift reaction on 92 MXenes. Random Forest is identified as the most accurate model. Reaction energy and reactant LogP emerge as key descriptors. The approach provides a predictive framework for catalyst design, grounded in density functional theory data and validated through ...
Kais Iben Nassar +3 more
wiley +1 more source
Structural and mechanical effects of interstitial sinks [PDF]
Changes in structure and mechanical properties due to loss of interstitials to reactive metal coatings studied in dispersion strengthened niobium ...
Brentnall, W. D. +2 more
core +1 more source
Journal of Advanced CeramicsFerroelectric thin films based on HfO2 have garnered increasing attention worldwide, primarily due to their remarkable compatibility with silicon and scalability, in contrast to traditional perovskite-structured ferroelectric materials.
Fei Yan +5 more
doaj +1 more source
Advanced Intelligent Discovery, EarlyView.Capacitive, charge‐domain compute‐in‐memory (CIM) stores weights as capacitance,eliminating DC sneak paths and IR‐drop, yielding near‐zero standbypower. In this perspective, we present a device to systems level performance analysis of most promising architectures and predict apathway for upscaling capacitive CIM for sustainable edge computing ...
Kapil Bhardwaj +2 more
wiley +1 more source
Precipitation strengthened tantalum base alloys [PDF]
Mechanical properties of precipitation strengthened tantalum base ...
Buckman, R. W., Jr., Goodspeed, R. C.
core +1 more source