Results 81 to 90 of about 1,474 (246)

Design of First Adder/Subtractor Using Quantum-Dot Cellular Automata

, 2011
Quantum-dot cellular automata (QCA) is an emerging nanotechnology that provides faster speed, smaller size and lower power consumption compared to the current transistor-based technology.
Ali Selamat, Ali Shahidinejad
core   +1 more source

Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories

Advanced Energy Materials, EarlyView.
In this review, we summarize the fundamentals of AI in automated materials science, and review AI applications in perovskite solar cells. Then, we sum up recent progress in AI‐guided manufacturing optimization, and highlight AI‐driven high‐throughput and autonomous laboratories.
Wenning Chen, Zheyu Zhang, Kelvian T. Mularso, Bonghyun Jo, Hyun Suk Jung   +4 more
wiley   +1 more source

Machine Learning Interatomic Potentials for Energy Materials: Architectures, Training Strategies, and Applications

Advanced Energy Materials, EarlyView.
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park, Saeed Pourasad, Jinhong Mun, Arunkumar Chitteth Rajan, Tae Hyeon Park, Anand Rohit, Mohammad Zafari, Tan‐Lien Pham, Eunjae Jung, Bonseung Koo, Miran Ha, Gi Beom Sim, Hyun Gyu Park, Won Woong Choi, Kwanghyeon Jo, Soohaeng Yoo Willow, David ChangMo Yang, Chang Woo Myung, Geunsik Lee, Kwang S. Kim   +19 more
wiley   +1 more source

Realization of a Functional Cell for Quantum-Dot Cellular Automata

, 1997
This paper presents an experimental demonstration of a basic cell of the quantum-dot cellular automata, a transistorless approach to computation that addresses the issues of device density, interconnection, and power dissipation.
G. L. Snider, A. O. Orlov, I. Amlani, G. H. Bernstein, C. S. Lent   +4 more
core   +1 more source

Automated Alignment Powered by Computer Vision Streamlines the Two‐Photon Polymerization‐Based Micro 3D Printing of Multiscale and Multimaterial Structures

Advanced Intelligent Discovery, EarlyView.
Two‐photon polymerization enables high‐resolution microfabrication, but performing alignment when printing multiple structures is difficult. Here, we present a fast, robust, and open‐source protocol for automated alignment on Nanoscribe systems. Achieving ≈0.4 μm accuracy in under 5 s, our protocol reduces time and error in multimaterial printing. This
Daniel Maher, Valentina Mendoza Martinez, Marcin Piotr Piekarczyk, Stefan Sützl, Ada‐Ioana Bunea   +4 more
wiley   +1 more source

The thermal effect and clocking in quantum-dot cellular automata

, 2004
We present a theoretical study of quasi-adiabatic clocking and thermal effect in Quantum-dot Cellular Automata (QCA). Quasi-adiabatic clocking is the modulation of an inter-dot potential barrier in order to keep the QCA cells near the ground state ...
Kanuchok, Jonathan L.
core  

Characterizing Quantum-Dot Cellular Automata

, 2014
We undertake an in-depth numerical study of quantum-dot cellular automata (QCA), a beyond-CMOS computing paradigm which represents bits as bistable charge distributions in cells consisting of quantum dots.
Ritter, Burkhard
core   +1 more source

Toward Predictable Nanomedicine: Current Forecasting Frameworks for Nanoparticle–Biology Interactions

Advanced Intelligent Discovery, EarlyView.
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova, Michael Nicholls, Nicola Russo, Gueorgui Mihaylov, Konstantin Nikolic   +4 more
wiley   +1 more source

A review on regular clocking scheme in quantum dot cellular automata

e-Prime: Advances in Electrical Engineering, Electronics and Energy
Quantum-dot cellular automata (QCA) is a novel and emerging nanotechnology that explores the potential of using quantum dots as information carriers in computing devices.
Mrinal Goswami, Tonmoy Jyoti Sharma, Arpita Nath Boruah   +2 more
doaj   +1 more source

Design of a Galois Field Multiplier Circuit using Quantum-dot Cellular Automata

Наука. Инновации. Технологии, 2022
The Quantum-dot Cellular Automata (QCA) is a possible future of nano-electronics computing technology, that promises small size, low power, and fast digital circuits compared to the existing transistor-based designs.
Maryam Jahantigh Akbarzadeh, Amir Sabbagh Molahosseini   +1 more
doaj