Results 291 to 300 of about 131,686 (354)

Reconfigurable Liquid Crystal‐Based Physical Unclonable Function Integrating Optical and Electrical Responses

open access: yesAdvanced Materials, EarlyView.
Reconfigurable physical unclonable function (PUF) integrating optical and electrical responses in organic field‐effect transistor is developed by using unique optical fingerprint textures and random molecular alignment of the semiconductive smectic liquid crystal. This approach enhances security by enabling hierarchical authentication, providing robust
Hee Seong Yun   +8 more
wiley   +1 more source

A binary merger product as the direct progenitor of a Type II-P supernova

open access: yes
Niu* Z   +17 more
europepmc   +1 more source

Formation of twin compact stars in low-mass X-ray binaries. Implications for eccentric and isolated millisecond pulsar populations

open access: hybrid
S. Chanlaridis   +7 more
openalex   +1 more source

Mechanical Homogenization Promoting Dual‐Directional Upcycling of Layered Oxide Cathodes

open access: yesAdvanced Materials, EarlyView.
This work introduces an efficient dual‐directional upcycling scheme enabled through a mechanical homogenization pretreatment. It enables various layered oxide cathodes to be reprocessed into fresh NCM cathodes with tailored Ni contents through boosted atomic diffusion in just 4 h of solid‐state sintering.
Nianji Zhang   +3 more
wiley   +1 more source

In situ crystallographic mapping constrains sulfate precipitation and timing in Jezero crater, Mars. [PDF]

open access: yesSci Adv
Jones MWM   +27 more
europepmc   +1 more source

Heterojunction‐Driven Stochasticity: Bi‐Heterojunction Noise‐Enhanced Negative Transconductance Transistor in Image Generation

open access: yesAdvanced Materials, EarlyView.
This work engineered a bi‐heterojunction noise‐enhanced negative transconductance (BHN‐NTC) transistor using a half‐PTCDI‐C13 layer, achieving expanded and tunable noise characteristics. This advancement enables efficient multi‐bit TRNGs for AI‐driven image generation and enhances logic circuit applications.
Youngmin Han   +6 more
wiley   +1 more source

AI‐Driven Defect Engineering for Advanced Thermoelectric Materials

open access: yesAdvanced Materials, EarlyView.
This review presents how AI accelerates the design of defect‐tuned thermoelectric materials. By integrating machine learning with high‐throughput data and physics‐informed representations, it enables efficient prediction of thermoelectric performance from complex defect landscapes.
Chu‐Liang Fu   +9 more
wiley   +1 more source

Home - About - Disclaimer - Privacy