Two-Dimensional Bi<sub>2</sub>Se<sub>3</sub>/MoSe<sub>2</sub> Heterostructure for Photodetection Applications. [PDF]
Mathew S +4 more
europepmc +1 more source
Exfoliated‐MoS2 Gradual Resistive Switching Devices as Artificial Synapses
A vertical memristor based on untreated, exfoliated MoS2 is presented, revealing gradual resistive switching governed by Schottky barrier modulation at the MoS2/metal interface from the trapping/detrapping of charges. Furthermore, the device emulates synaptic‐like plasticity functions, including: potentiation, depression, and spike‐amplitude‐dependent ...
Deianira Fejzaj +3 more
wiley +1 more source
Determinants of electron transport at asymmetric metal/molecule/metal contacts. [PDF]
Su G, Feng R, Zhao Y, Zhang IY, Liu W.
europepmc +1 more source
Monolithic Co‐Integration of Vertical FET and Memristor for 1T1R Cell
This work demonstrates a vertically integrated one‐transistor–one‐memristor (1T1R) cell by stacking a MoS2 vertical field‐effect transistor (VFET) with a mortise–tenon‐shaped (MTS) memristor. This compact architecture not only exhibits highly uniform resistive switching characteristics but also provides a strategy for constructing densely packed ...
Fubo Jiao +15 more
wiley +1 more source
Simulation and performance analysis of nanostructure-based perovskite solar cells for improving their efficiency. [PDF]
Firouzabadi AR +2 more
europepmc +1 more source
This work electrically characterizes sixteen logic gates built from three‐independent‐gate reconfigurable transistors fabricated on full‐scale 300 mm wafers using the industrial 22 nm fully depleted FDSOI process of GlobalFoundries. Static and time‐resolved measurements confirm correct operation, including a 1‐bit adder and reconfigurable AOI/OAI ...
Juan P. Martinez +12 more
wiley +1 more source
Emerging Memory and Device Technologies for Hardware‐Accelerated Model Training and Inference
This review investigates the suitability of various emerging memory technologies as compute‐in‐memory hardware for artificial intelligence (AI) applications. Distinct requirements for training‐ and inference‐centric computing are discussed, spanning device physics, materials, and system integration.
Yoonho Cho +6 more
wiley +1 more source
Tunable Interfacial to Filamentary Resistive Switching Mechanism in Room-Temperature-Grown Amorphous YBa<sub>2</sub>Cu<sub>3</sub>O<sub><i>x</i></sub> with Excess Cu Addition. [PDF]
Feighan J +9 more
europepmc +1 more source
ABSTRACT Machine learning and Artificial Intelligence (AI) tasks have stretched traditional hardware to its limits. In‐hardware computation is a novel approach that aims to run complex operations, such as matrix–vector multiplication, directly at the device level for increased efficiency.
Juan P. Martinez +10 more
wiley +1 more source
Modulating Persistent Photoconductivity through Barrier Engineering for High-performance and Multifunctional Two-dimensional Optoelectronic Devices. [PDF]
Huo P +8 more
europepmc +1 more source

