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Asm Materials Education Foundation Announces The Winners Of The 2018 Materials Genome Toolkit Contest

January 18, 2019

The ASM Materials Education Foundation is pleased to announce the winners of the 2018 ASM Materials Genome Toolkit competition.

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ASM International Launches a Unified Materials Information Digital Library on the Silverchair Platform

January 16, 2019

ASM International and Silverchair announced today the launch of the ASM Digital Library on the Silverchair Platform. The ASM Digital Library offers a single gateway to ASM’s authoritative materials information resources.

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Norman Noble develops athermal laser micro-machining for Nitinol medical devices

January 13, 2019

Norman Noble Inc., Highland Heights, Ohio, announces that it has developed an athermal laser machining process that represents an advancement of several magnitudes in medical device production.

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Fort Wayne NiTi drawn filled tubing provides variety of properties in a composite wire

January 13, 2019

Fort Wayne Metals, Ind., manufactures DFT wire (drawn filled tubing), which allows its engineers to match dissimilar materials to provide a variety of properties in a single wire system.

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Lumenous provides research, development, and design for nitinol medical devices

January 13, 2019

Lumenous Device Technologies, Santa Clara, Calif., is a contract manufacturer and design house for minimally invasive medical device technology, providing research, development, and design expertise.

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Shape memory alloy release mechanisms and hinges deploy solar arrays on CubeSat

January 09, 2019

NASA Glenn Research Center, Cleveland, announces that the new ALBus CubeSat, launched in December, will test high-power (100 watt) electric systems and unique shape-memory alloy components for the first time.

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Electron microscopy improved by deep learning network

January 03, 2019

Finding defects in electron microscopy images normally takes months. But in a few hours, scientists using the Multinode Evolutionary Neural Networks for Deep Learning (MENNDL) created a neural network that performed as well as a human expert. MENNDL is the first known approach to automatically identify atomic-level structural information in scanning transmission electron microscopy data.

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Women In Engineering Profile: Victoria Miller

December 26, 2018

This profile series introduces lead¬ing materials scientists from around the world who happen to be females. Here we speak with Victoria (Tori) Miller, assistant professor in materials science and engineering at North Carolina State University.

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ASM International to Manage Data for High-Temperature Oxidation Machine Learning Project

December 20, 2018

ASM International (ASM) is providing data management support for the project “Machine Learning and Supercomputing to Predict Corrosion/Oxidation of High-Performance Valve Alloys” that was awarded funding by the U.S. Department of Energy (DOE).

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Making x-ray microscopy 10 times faster

November 29, 2018

Scientists at the National Synchrotron Light Source II (NSLS-II)—a U.S. Department of Energy (DOE) Office of Science User Facility at DOE’s Brookhaven National Laboratory—have developed a transmission x-ray microscope (TXM) that can image samples 10 times faster than previously possible.

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