Results 101 to 110 of about 5,165 (285)
Nano-scale reservoir computing
This work describes preliminary steps towards nano-scale reservoir computing using quantum dots. Our research has focused on the development of an accumulator-based sensing system that reacts to changes in the environment, as well as the development of a
Chadwick, Matthew +10 more
core +1 more source
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 +4 more
wiley +1 more source
Ultra-optimized demultiplexer unit design in quantum-dot cellular automata nanotechnology
Integrated circuit designers face challenges in using complementary metal oxide semiconductor (CMOS) technology as it has a large leakage current and scalability challenge in ultra-nanoscale regime. Quantum-dot Cellular Automata (QCA) is a nanotechnology
Vijay Kumar Sharma, Neeraj Kaushik
doaj +1 more source
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 +4 more
wiley +1 more source
Design of reversible logic circuits using quantum dot cellular automata-based system
Shrinking transistor sizes and power dissipation are the major barriers in the development of future computational circuits. At least when the transistor size approaches the atomic scale, duplication of transistor density according to Moore’s law will ...
Purkayastha Tamoghna +2 more
doaj +1 more source
Bayesian modeling of quantum-dot-cellular-automata circuits [PDF]
The goal of this work is to develop a fast, Bayesian Probabilistic Computing model [1],[2] that exploits the induced causality of clocking to arrive at a model with the minimum possible complexity.
Bhanja, Sanjukta, Srivastava, Saket
core +1 more source
Materials informatics and autonomous experimentation are transforming the discovery of organic molecular crystals. This review presents an integrated molecule–crystal–function–optimization workflow combining machine learning, crystal structure prediction, and Bayesian optimization with robotic platforms.
Takuya Taniguchi +2 more
wiley +1 more source
Fundamental 1:2 demultiplexer design in quantum-dot cellular automata nanotechnology
There are many issues with complementary metal oxide semiconductor (CMOS) technology in the ultra-nanoscale regime. A quantum-dot cellular automaton (QCA) is a promising innovation for crafting logic circuits in nanoscale dimensions.
Nandan Vaid +2 more
doaj +1 more source
An energy efficient design of a multi-layered crossover based 3:8 decoder using quantum-dot cellular automata. [PDF]
Das R, Shah Alam M, Ahmmed KT.
europepmc +1 more source
An electromagnetic manipulation system enhances magnetic field strength in the Z‐direction for 3D control of microrobots and nanoparticles. Featuring eight metal‐core coils and two air‐core coils arranged hemispherically, it ensures unimpeded workspace access and integrates imaging tools.
Nader Latifi Gharamaleki +4 more
wiley +1 more source

