Academic Articles & Research Papers

Foundations of Materials Science and Engineering

1 Introduction to Materials Science and Engineering 2 Atomic Structure and Bonding 3 Crystal and Amorphous Structures in Materials 4 Solidification, Crystalline Imperfections 5 Thermally Activated Processes and Diffusion in Solids 6 Mechani...

Advances in Materials Science and Engineering

The volume contains selected, peer reviewed papers from the 2012 International Conference on Advances in Materials Science and Engineering (AMSE 2012), December 9-10, 2012, Seoul, Korea. The papers are grouped as follows: Chapter 1: Materia...

Encyclopedia of Materials Science and Engineering

This major eight-volume reference work provides the first unified treatment of an important interdisciplinary field....

Materials Science and Engineering: An Introduction

List of Symbols.Introduction.Atomic Structure and Interatomic Bonding.The Structure of Crystalline Solids.Imperfections in Solids.Diffusion.Mechanical Properties of Metals.Dislocations and Strengthening Mechanisms.Failure.Phase Diagrams.Pha...

Journal of Materials Science and Engineering A

The Journal of Materials Science and Engineering is an international, scholarly, and peer-reviewed journal (print and online) published monthly by David Publishing Company, USA which was founded in 2007. It provides an international medium ...

Core/Shell HgCdTe/HgCdSe Quantum Dots for Wave Function Engineering with Infrared Band Gaps.

Multi-target quantum compilation algorithm

Quantum compilation is the process of converting a target unitary operation into a trainable unitary represented by a quantum circuit. It has a wide range of applications, including gate optimization, quantum-assisted compiling, quantum sta...

Framework for Implementing Quantum Neural Networks in Wireless Communications

While quantum computing is already being employed in different domains to solve large scale and highly complex optimization problems, the wireless communications community has only recently begun exploring the potential of Quantum Machine L...

An introduction to Bayesian simulation-based inference for quantum machine learning with examples

Simulation is an indispensable tool in both engineering and the sciences. In simulation-based modeling, a parametric simulator is adopted as a mechanistic model of a physical system. The problem of designing algorithms that optimize the sim...

Quantum computing: an introduction

The basic ideas of quantum computation are introduced by a brief discussion of Bennett (1973, 1982) and Fredkin's (1982, 1997) ideas of reversible computation. After some remarks about Deutsch's (1985) pioneering work on quantum complexity ...

Heuristic Synthesis of Reversible Logic – A Comparative Study

Reversible logic circuits have been historically motivated by theoretical research in low-power, and recently attracted interest as components of the quantum algorithm, optical computing and nanotechnology. However due to the intrinsic prop...

ℤ₂ × ℤ₂ Equivariant Quantum Neural Networks: Benchmarking against Classical Neural Networks

This paper presents a comparative analysis of the performance of Equivariant Quantum Neural Networks (EQNNs) and Quantum Neural Networks (QNNs), juxtaposed against their classical counterparts: Equivariant Neural Networks (ENNs) and Deep Ne...

Rarefied Reactive Gas Flows over Simple and Complex Geometries Using an Open-Source DSMC Solver

During atmospheric reentry, a significant number of chemical reactions are produced inside the high-temperature shock wave formed upstream of the spacecraft. Chemical reactions can significantly alter the flowfield structure surrounding the...

A quantum fuzzy logic-enhanced evolutionary framework for energy-latency optimization in 6G Edge-IioT

Abstract The transition toward 6G-enabled Industrial Internet of Things (IIoT) requires strict Ultra-Reliable Low-Latency Communication (URLLC), creating a fundamental trade-off with energy consumption. Orchestrating resources in dense, hyp...

Canonical quantization of a memristive leaky integrate-and-fire neuron circuit

We present a theoretical framework for a quantized memristive Leaky Integrate-and-Fire (LIF) neuron, uniting principles from neuromorphic engineering and open quantum systems. Starting from a classical memristive LIF circuit, we apply canon...

Quantum Computing and Communications

transmission of quantum states by using entanglement.Quantum error correction keeps the possibility of maintaining quantum coherence when an irreversible noise process exists.At present, the world is undergoing a new round of "quantum revol...

Quantum computing: a gentle introduction

The combination of two of the twentieth centurys most influential and revolutionary scientific theories, information theory and quantum mechanics, gave rise to a radically new view of computing and information. Quantum information processin...

Quantum Computing

Coalition of explainable artificial intelligence and quantum computing in precision medicine

This survey examines the convergence of Explainable Artificial Intelligence (XAI) and Quantum Computing (QC) toward precision medicine. We review developments from 2018 to 2025, summarizing quantum algorithms, quantum-machine-learning model...

Performance prediction and optimization of a high-efficiency tessellated diamond fractal MIMO antenna for terahertz 6G communication using machine learning approaches

Abstract This paper introduces the design and exploration of a compact, high-performance multiple-input multiple-output (MIMO) antenna for 6G applications operating in the terahertz (THz) frequency range. Leveraging a meta learner-based sta...