Person

Binglun Yin

This person is no longer with EPFL

Related publications (14)

About
Privacy
Disclaimer

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.

Binglun Yin

Graph Chatbot

Chat with Graph Search

A low-temperature prismatic slip instability in Mg understood using machine learning potentials

Constraining the baryonic feedback with cosmic shear using the DES Year-3 small-scale measurements

A ductility criterion for bcc high entropy alloys

Vanadium is an optimal element for strengthening in both fcc and bcc high-entropy alloys

Origin of high strength in the CoCrFeNiPd high-entropy alloy

Machine learning for metallurgy II. A neural-network potential for magnesium

Yield strength and misfit volumes of NiCoCr and implications for short-range-order

Design of Ductile Rare-Earth-Free Magnesium Alloys

First-principles-based prediction of yield strength in the RhIrPdPtNiCu high-entropy alloy

Designing high ductility in magnesium alloys