Results 211 to 220 of about 6,142 (314)

415 Preparation of TiAl Porous Materials by Mechanical Alloying Process

, 2010
Daisuke Nishimura, Seiji Yamanaka, Yuki Ishioka, Hirofumi Doi, Takuji Okabe   +4 more
openalex   +2 more sources

Inverse Design of Alloys via Generative Algorithms: Optimization and Diffusion within Learned Latent Space

Advanced Intelligent Discovery, EarlyView.
This work presents a novel generative artificial intelligence (AI) framework for inverse alloy design through operations (optimization and diffusion) within learned compact latent space from variational autoencoder (VAE). The proposed work addresses challenges of limited data, nonuniqueness solutions, and high‐dimensional spaces.
Mohammad Abu‐Mualla, Ellis Crabtree, Fredrick Michael, Yayue Pan, Jida Huang   +4 more
wiley   +1 more source

Synergistic Effects of Temperature and Cooling Rate on Lamellar Microstructure Evolution and Mechanical Performance in Ti-44.9Al-4.1Nb-1.0Mo-0.1B-0.05Y-0.05Si Alloy. [PDF]

Materials (Basel)
Tan F, Li Y, Cui J, Liu N, Naseem K, Zhu Z, Tian S.   +6 more
europepmc   +1 more source

Effect of Nb and alloying elements on interface reaction between high Nb-containing TiAl alloys and ZrO2-based ceramic moulds

, 2015
Liang Yang, Wenbin Kan, Youwei Zhang
openalex   +1 more source

A Generalized Framework for Data‐Efficient and Extrapolative Materials Discovery for Gas Separation

Advanced Intelligent Discovery, EarlyView.
This study introduces an iterative supervised machine learning framework for metal‐organic framework (MOF) discovery. The approach identifies over 97% of the best performing candidates while using less than 10% of available data. It generalizes across diverse MOF databases and gas separation scenarios.
Varad Daoo, Jayant K. Singh
wiley   +1 more source

Dual phase high temperature Si₃N₄/Al(Ti)N films with tunable thermal conductivity. [PDF]

Nat Commun
Gao Z, Liu H, Sun J, Kulczyk-Malecka J, Liu X, Bousser E, Kelly P, Chiu YL, Withers PJ, Xiao P.   +9 more
europepmc   +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

Effect of Temperature on the Low-Cycle Fatigue Behavior of Polycrystalline TiAl Alloys. [PDF]

Materials (Basel)
Zhou J, Zhao H, Li P, Xiang H.
europepmc   +1 more source

Induction Brazing of γ-TiAl to Alloy Steel AISI 4140 Using Filler Metal of Eutectic Ag-Cu Alloy Coated with Ti Film

, 2005
Ja‐Myeong Koo, Wonbae Lee, Myoung-Gyun Kim, Dae-Up Kim, Young‐Jig Kim, Seung‐Boo Jung   +5 more
openalex   +2 more sources

A Data‐Centric Approach to Quantifying the Forward and Inverse Relationship Between Laser Powder Bed Fusion Process Parameters and as‐Built Surface Roughness of IN718 Parts

Advanced Intelligent Systems, EarlyView.
This study introduces the first inverse machine learning model to predict laser powder bed fusion process parameters for targeted surface roughness of Inconel 718 parts. Unlike prior approaches, it incorporates spatial surface characteristics for improved accuracy.
Samsul Mahmood, Bart Raeymaekers
wiley   +1 more source