Results 161 to 170 of about 54,131 (291)
Characterization and Discrimination of Pure Standards of Phenolic Compounds Using FTIR Spectroscopy in the Terahertz Range. [PDF]
Pissard A +4 more
europepmc +1 more source
This study introduces a new method for fabricating MIIM diodes using ultra‐precise dispensing printing techniques combined with ALD. Thus, it provides a practical alternative to traditional lithography. The fabricated diode, with a contact area of 5.4 µm × 4.0 µm exhibits a tunneling current in the microampere range, a zero‐bias responsivity of −1.31 A/
Aboubacar Savadogo +8 more
wiley +1 more source
Achieving 100% amplitude modulation depth in the terahertz range with graphene-based tuneable capacitance metamaterials. [PDF]
Xia R +14 more
europepmc +1 more source
High‐Speed Flexible Schottky Diodes Based on Carbon Nanotubes
We demonstrate a flexible Schottky diode based on carbon nanotube network thin film, and the devices are fabricated via a low‐temperature process on a PI substrate, which exhibits excellent radio‐frequency characteristics, with a high responsivity 6 A/W at zero bias, a high intrinsic cut‐off frequency reaching 153 GHz, and an extrinsic cut‐off ...
Yan Li +6 more
wiley +1 more source
All-Silicon Polarization-Insensitive Metamaterial Absorber in the Terahertz Range. [PDF]
Xu Z +9 more
europepmc +1 more source
Beyond Silicon: Toward Sustainable, NIR‐II, and Conformable Organic Photodiodes
In this perspective, a strategic shift in organic photodetector (OPD) research is proposed: instead of the incremental advances in silicon's stronghold arena, the most impactful future for OPDs lies in addressing silicon's intrinsic limitations, i.e., detection in the longer wavelength range above silicon's coverage (>1100 nm, termed as near infrared ...
Hrisheekesh Thachoth Chandran +7 more
wiley +1 more source
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
Rod‐Like PLGA Microrobots with Enhanced Motion and Biodegradation for Magnetic‐Guided Drug Delivery
This study presents drug‐loaded Poly (lactic‐co‐glycolic acid) (PLGA) microrobots fabricated from an oil‐in‐water (O/W) emulsion of PLGA, Fe3O4 nanoparticles, and Adriamycin (DOX). They are formed by film‐forming and stretching microrobots, and exhibit motion analyzed via video‐snapshots, speed graphs, and shape changes, advancing targeted for drug ...
Junkai Zhang +6 more
wiley +1 more source
This work shows resonant tunneling diode‐based opto‐electronic spiking neurons enabling fast edge detection in time series, a two‐layer photonic spiking neural network for complex classification, and a depth‐tunable photonic spiking memory system. Neuromorphic computing—modeled after the functionality and efficiency of biological neural systems—offers ...
Dafydd Owen‐Newns +8 more
wiley +1 more source
This study presents a first‐principles investigation of the electronic, vibrational, optical, and elastic properties of AgBiTeSe. The results highlight its metallic behavior, dynamic stability, strong optical absorption, and promising thermoelectric potential.
Nilufer Yesmin Tanisa +3 more
wiley +1 more source

