Results 241 to 250 of about 1,638,848 (302)

Exploring the space of human exploration using Entropy Mastermind

, 2019
Eric Schulz, Lara Bertram, Matthias Höfer, Jonathan D. Nelson   +3 more
openalex   +1 more source

Machine Learning Applied to High Entropy Alloys under Irradiation

Advanced Engineering Materials, EarlyView.
Designing alloys for extreme environments demands fast, trustworthy prediction. This review charts how machine learning—especially machine‐learned interatomic potentials and predictive models based on experiment‐informed datasets—captures the complexity of high‐entropy alloys in extreme environments, predicts phase formation, mechanical properties, and
Amin Esfandiarpour, Sri Tapaswi Nori, Silvia Bonfanti, Mikko Alava, Antoni Wadowski, Wenyi Huo, Łukasz Kurpaska, Michał Pecelerowicz, Jan S. Wróbel   +8 more
wiley   +1 more source

To Mars and beyond. Space exploration and space medicine in Leukemia. [PDF]

Leukemia
Gale RP, Hochhaus A.
europepmc   +1 more source

Effective Application of Design Space Exploration in the Very Early Naval Ship Design

, 2015
Jin-Won Park, Sang-Il Park
openalex   +1 more source

Consolidate Overview of Ribonucleic Acid Molecular Dynamics: From Molecular Movements to Material Innovations

Advanced Engineering Materials, EarlyView.
Molecular dynamics simulations are advancing the study of ribonucleic acid (RNA) and RNA‐conjugated molecules. These developments include improvements in force fields, long‐timescale dynamics, and coarse‐grained models, addressing limitations and refining methods.
Kanchan Yadav, Iksoo Jang, Jong Bum Lee
wiley   +1 more source

Healthcare can learn from space exploration to champion disability inclusion. [PDF]

Commun Med (Lond)
Asrar FM, Bolles D, Ngo-Anh TJ.
europepmc   +1 more source

Design space exploration in the presence of numerical errors and application to rocket engine turbine

, 2014
Yukiya Kakudate, Hiromasa Kato, Ken-ichi FUNAZAKI   +2 more
openalex   +2 more sources

Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials

Advanced Engineering Materials, EarlyView.
This article explores how machine learning (ML) revolutionizes the study and design of disordered materials by uncovering hidden patterns, predicting properties, and optimizing multiscale structures. It highlights key advancements, including generative models, graph neural networks, and hybrid ML‐physics methods, addressing challenges like data ...
Hamidreza Yazdani Sarvestani, Surabhi Nadigotti, Erfan Fatehi, Derek Aranguren van Egmond, Behnam Ashrafi   +4 more
wiley   +1 more source

Wound-healing and onboard care during long-duration human deep space exploration from a surgical perspective through the lens of a scoping review. [PDF]

J Vasc Surg Venous Lymphat Disord
Babocs D, Korrapati K, Lytle C, Gloviczki ML, Oderich GS, Melin MM, Christiansen R.   +6 more
europepmc   +1 more source

Enhancing Corrosion Resistance and Mechanical Strength of 3D‐Printed Iron Polylactic Acid for Marine Applications via Laser Surface Texturing

Advanced Engineering Materials, EarlyView.
Laser surface texturing significantly improves the corrosion resistance and mechanical strength of 3D‐printed iron polylactic acid (Ir‐PLA) for marine applications. Optimal laser parameters reduce corrosion by 80% and enhance tensile strength by 25% and ductility by 15%.
Mohammad Rezayat, Mojtaba Karamimoghadam, Mohammadreza Lalegani Dezaki, Ali Zolfagharian, Giuseppe Casalino, Antonio Mateo, Mahdi Bodaghi   +6 more
wiley   +1 more source