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Showing 20 of 6,095 academic articles

Phase prediction, microstructure and high hardness of novel light-weight high entropy alloys

Jon Mikel Sanchez, Iban Vicario, Joseba Albizuri, Teresa Guraya et al. • Journal of Materials Research and Technology (2019)

Guided by CALPHAD modeling, low-density and multiphase three novel High Entropy Alloys (HEAs), Al40Cu15Cr15Fe15Si15, Al65Cu5Cr5Si15Mn5Ti5 and Al60Cu10Fe10Cr5Mn5Ni5Mg5 were produced by large scale vacuum die casting. A mixture of simple and ...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.jmrt.2018.06.010

Effects of Annealing and Deformation on Sagging Resistance of a Hot-Rolled, Four-Layered Al Alloy Clad Sheet

Minglong Kang, Li Zhou, Yunlai Deng, Jinqin Lei • Advances in Materials Science and Engineering (2021)

Multilayer brazeable aluminum alloy sheet is prone to collapse during high-temperature brazing process. The sagging resistance of the aluminum composite sheet needs to be further improved for quality control. Effects of annealing and rate o...

DOAJ Open Access (DOAJ) DOI: 10.1155/2021/6625548

Material Science and Engineering

Ping Chen • CRC Press eBooks (2016)

Material Science and Engineering presents novel and fundamental advances in the field of material science and engineering. This proceedings collects the comprehensive and worldwide research results on Metallic Materials and Applications, Ch...

OPENALEX DOI: https://doi.org/10.1201/b21118

Computational Materials Science

Kaoru Ohno, Keivan Esfarjani, Yoshiyuki Kawazoe • Springer series in solid-state sciences (1999)

There has been much progress in the computational approaches in the field of materials science during the past two decades. In particular, computer simula tion has become a very important tool in this...

OPENALEX Open Access DOI: https://doi.org/10.1007/978-3-642-59859-3

Advances in Materials Science and Engineering

Ying Zhang, Ping He • Trans Tech Publications Ltd. eBooks (2013)

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...

OPENALEX DOI: https://doi.org/10.4028/b-uit6cc

On the Challenges of Quantum Circuit Encoding Using Deep and Reinforcement Learning

Patrick Selig, Niall Murphy, David Redmond, Simon Caton • IEEE Access (2025)

Quantum computers may solve some computing tasks more efficiently than classical com- puters, but to do so requires the design of appropriate quantum circuits. However, it is hard to design even simple quantum programs. Recent results have ...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2025.3564392

Multi-target quantum compilation algorithm

Vu Tuan Hai, Nguyen Tan Viet, Jesus Urbaneja, Nguyen Vu Linh et al. • Machine Learning: Science and Technology (2024)

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...

DOAJ Open Access (DOAJ) DOI: 10.1088/2632-2153/ad9705