Results 231 to 240 of about 1,622,308 (337)

Dynamic Control of Synaptic Plasticity by Competing Ferroelectric and Trap‐Assisted Switching in IGZO Transistors with Al2O3/HfO2 Dielectrics

Advanced Functional Materials, EarlyView.
A frequency‐tunable ferroelectric synaptic transistor based on a buried‐gate InGaZnO channel and Al2O3/HfO2 dielectric stack exhibits linear and reversible weight updates using single‐polarity pulses. By switching between ferroelectric and trap‐assisted modes depending on input frequency, the device simplifies neuromorphic circuit design and achieves ...
Ojun Kwon, Dong Ho Lee, Seyoung Oh, Jongwon Yoon, Hyo‐Bae Kim, Ji‐Hoon Ahn, Woojin Park, Han Seul Kim, Byungjin Cho   +8 more
wiley   +1 more source

Incorporating the thermodynamic effects of temperature and pressure on modeling neuronal gating kinetics. [PDF]

PLoS One
Miller JA, Pahlavan B, Gamboa B, Santamaria F.   +3 more
europepmc   +1 more source

Halide Perovskite Radiation Detectors: Conventional Imaging Applications and New Opportunities

Advanced Functional Materials, EarlyView.
Organic–inorganic hybrid halide perovskite (OIHP) semiconductors, owing to their exceptional optoelectronic properties, are emerging as promising next‐generation integrated radiation detectors for applications in medical radiodiagnosis and healthcare monitoring.
Dou Zhao, Yeon‐Woo Choi, Tomoyuki Yokota, Takao Someya, Nam‐Gyu Park   +4 more
wiley   +1 more source

Factors that influence an individual's decision to undergo bariatric surgery: A qualitative systematic review. [PDF]

PLoS One
Keogh N, Horsom D, Lee G, Saab MM.
europepmc   +1 more source

Design and Applications of Multi‐Frequency Programmable Metamaterials for Adaptive Stealth

Advanced Functional Materials, EarlyView.
This article provides a comprehensive overview of metamaterials, including their fundamental principles, properties, synthesis techniques, and applications in stealth, as well as their challenges and future prospects. It covers topics that are more advanced than those typically discussed in existing review articles, while still being closely connected ...
Jonathan Tersur Orasugh, Ankita Mohanty, Amit Malakar, Suryasarathi Bose, Suprakas Sinha Ray   +4 more
wiley   +1 more source

The self-management support needs of people newly diagnosed with psoriatic arthritis: a realist review protocol

Fishpool K, Silverthorne C, Brooke M, Morris L, McHugh N, Ovens J, Smith T, Tillett W, Dures E.   +8 more
europepmc   +1 more source

Revisiting guidance on population sampling for highly polymorphic STR loci. [PDF]

Forensic Sci Int Genet
Aalbers SE, Gettings KB.
europepmc   +1 more source

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

Advanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore, Cristiano Pesce, Antonietta Greco, Claudia Pisante, Greta Avancini, Valentina Di Francesco, Yosi Shamay, Paolo Decuzzi   +7 more
wiley   +1 more source

Mapping the Intellectual Landscape of Employee Performance Research: A Bibliometric and Mapping Analysis (2020-2025). [PDF]

F1000Res
Maryadi M, Utami HN, Prasetya A, Hutahayan B.   +3 more
europepmc   +1 more source

Actions theories in temporal databases [PDF]

, 2014
openaire   +2 more sources