Results 121 to 130 of about 875,510 (306)

Photoswitchable Conductive Metal–Organic Frameworks

open access: yesAdvanced Functional Materials, EarlyView.
A conductive material where the conductivity can be modulated remotely by irradiation with light is presented. It is based on films of conductive metal–organic framework type Cu3(HHTP)2 with embedded photochromic molecules such as azobenzene, diarylethene, spiropyran, and hexaarylbiimidazole in the pores.
Yidong Liu   +5 more
wiley   +1 more source

General Geometric Fluctuation Modeling for Device Variability Analysis

open access: yes, 2015
The authors propose a new modeling approach based on the impedance field method (IFM) to analyze the general geometric variations in device simulations.
Choi, Woosung   +4 more
core   +1 more source

Ideal Molecular Sieving with a Dense MOF for Helium Upgrading with Highly Diffusion Selective Mixed Matrix Membranes

open access: yesAdvanced Functional Materials, EarlyView.
The separation of Helium gas from natural gas is challenging but highly important. MIL‐116(Ga), a “non‐porous” metal–organic framework is used as a molecular sieve to separate He from CH4. Druse‐like MIL‐116(Ga) particles are integrated into polysulfone mixed matrix membranes.
Ayisha Komal   +10 more
wiley   +1 more source

Dual‐Mode Film Based on Highly Scattering Nanofibers and Upcycled Chips‐Bags for Year‐Round Thermal Management

open access: yesAdvanced Functional Materials, EarlyView.
Intelligent radiative cooling devices, adaptable to various weather conditions, have the potential for year‐round energy savings. This study introduces a sustainable dual‐mode film made from polycaprolactone nanofibers and upcycled chip bags for effective thermal management.
Qimeng Song   +4 more
wiley   +1 more source

Electrical Characteristics of ML and BL MoS2 GAA NS FETs With Source/Drain Metal Contacts

open access: yesIEEE Journal of the Electron Devices Society
This paper reports source/drain (S/D) contact issues in monolayer and bilayer (BL) $\mathrm {MoS_{2}}$ devices through density-functional-theory (DFT) calculation and device simulation.
Yueh-Ju Chan, Min-Hui Chuang, Yiming Li
doaj   +1 more source

Device Simulation

open access: yes, 2022
M. Schröter   +3 more
openaire   +1 more source

All‐in‐One Analog AI Hardware: On‐Chip Training and Inference with Conductive‐Metal‐Oxide/HfOx ReRAM Devices

open access: yesAdvanced Functional Materials, EarlyView.
An all‐in‐one analog AI accelerator is presented, enabling on‐chip training, weight retention, and long‐term inference acceleration. It leverages a BEOL‐integrated CMO/HfOx ReRAM array with low‐voltage operation (<1.5 V), multi‐bit capability over 32 states, low programming noise (10 nS), and near‐ideal weight transfer.
Donato Francesco Falcone   +11 more
wiley   +1 more source

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