Results 121 to 130 of about 300,339 (303)

Verification and Mitigation of Proton‐Induced Non‐Ionizing Damage in Perovskite Solar Cells for Space Applications

open access: yesAdvanced Energy Materials, EarlyView.
Metal‐halide perovskite solar cells offer high‐efficiency power for orbital missions but suffer from permanent proton‐induced degradation. This work identifies non‐ionizing energy loss (NIEL) as the primary driver of irreversible failure, inducing atomic displacements and microcracks in the high‐fluence regime. Through energy‐tuned mapping and scalable
Jangwon Byun   +10 more
wiley   +1 more source

Electrochemical profiling setup for diagnosing GaAs epitaxial structures

open access: yesТехнологія та конструювання в електронній апаратурі, 2005
An electrochemical profiling setup for semiconductor structures has been developed, in which the concentration of free charge carriers is determined from the capacitance–voltage characteristics of the electrolyte–semiconductor barrier, while scanning ...
N. M. Vakiv   +4 more
doaj  

A Comprehensive Assessment and Benchmark Study of Large Atomistic Foundation Models for Phonons

open access: yesAdvanced Intelligent Discovery, EarlyView.
We benchmark six large atomistic foundation models on 2429 crystalline materials for phonon transport properties. The rapid development of universal machine learning potentials (uMLPs) has enabled efficient, accurate predictions of diverse material properties across broad chemical spaces.
Md Zaibul Anam   +5 more
wiley   +1 more source

Pushing Efficiency Limits: SCAPS-Based Analysis of GaAs and BAs Solar Cells for Next-Generation Photovoltaics

open access: yesEast European Journal of Physics
The present study utilizes SCAPS software to simulate and analyze the semiconductor materials gallium arsenide (GaAs) and boron arsenide (BAs) for photovoltaic applications.
Merad Laarej   +2 more
doaj   +1 more source

Advancing Efficient Error Reduction in DNA Data Storage Systems with Deep Learning‐Based Denoising Models

open access: yesAdvanced Intelligent Discovery, EarlyView.
Deep learning‐based denoising models are applied to DNA data storage systems to enhance error reduction and data fidelity. By integrating DnCNN with DNA sequence encoding methods, the study demonstrates significant improvements in image quality and correction of substitution errors, revealing a promising path toward robust and efficient DNA‐based ...
Seongjun Seo   +5 more
wiley   +1 more source

Majority‐Voting Overlapping Method for Error Correction in DNA Data Storage

open access: yesAdvanced Intelligent Discovery, EarlyView.
We propose an overlapping‐based majority‐voting method for DNA data storage error correction. By aligning multiple reads and choosing the most frequent base per position, it suppresses substitution errors without prior models. Validated on synthetic and real sequencing data, it achieves high‐fidelity, scalable, and cost‐effective reconstruction ...
Thi Bich Ngoc Nguyen   +5 more
wiley   +1 more source

Microwave field-effect transistors of medium power in the millimeter wavelength range

open access: yesТехнологія та конструювання в електронній апаратурі, 2003
The paper presents the results of optimization of the design and fabrication technology of microwave field-effect transistors of medium power with an operating frequency in the range of 18–36 GHz on GaAs epitaxial structures.
A. V. Ivashchuk   +2 more
doaj  

Change of the Optoelectronic Properties of Semiconductor Compounds Induced by Nanosecond Laser Irradiation Pulses

open access: yesФізика і хімія твердого тіла
New research has discovered discrepancies in the melting points, plasma generation, and resulting changes in optoelectronic properties of semiconductor materials A2B6 and A3B5 when exposed to laser light, even when the experimental conditions are the ...
S. Levytskyi, Z. Cao, О. Koba, М. Koba
doaj   +1 more source

Multi-stacked GaSb/GaAs type-II quantum nanostructures for application to intermediate band solar cells

open access: yesAIP Advances, 2017
We have investigated the performance of 10-layer stacked GaSb/GaAs quantum dot (QD) and quantum ring (QR) solar cells (SCs) having a type-II band alignment.
Yasushi Shoji   +2 more
doaj   +1 more source

Enhancing Atomic‐Resolution in Electron Microscopy: A Deep Learning Denoiser Operating in the Frequency Domain

open access: yesAdvanced Intelligent Systems, EarlyView.
The newly developed AI‐automated Fast Fourier Transform denoising algorithm surpasses conventional real‐space methods by revealing even light atoms otherwise hidden in noisy backgrounds. Atomic resolution electron microscopy has become an essential tool for many scientific fields, when direct visualization of atomic arrangements and defects is needed ...
Ivan Pinto‐Huguet   +8 more
wiley   +1 more source

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