对象已移动

可在此处找到该文档 Artificial intelligence magnifies the utility of electron microscopes – New Self New Life
New Self New Life
No Result
View All Result
  • Home
  • Entertainment
  • Celebrity
  • Cinema
  • Music
  • Digital Lifestyle
  • Social Media
  • Softwares
  • Devices
  • Home
  • Entertainment
  • Celebrity
  • Cinema
  • Music
  • Digital Lifestyle
  • Social Media
  • Softwares
  • Devices
New Self New Life
No Result
View All Result
Home Softwares

Artificial intelligence magnifies the utility of electron microscopes

by admin
4 years ago
in Softwares
Artificial intelligence magnifies the utility of electron microscopes
Share on FacebookShare on Twitter


Artificial Intelligence magnifies the utility of electron microscopes
Argonne’s Charudatta Phatak views a magnified picture from a Lorentz transmission electron microscope. Phatak’s staff is utilizing AI to enhance microscope sensitivity and accuracy. Credit score: Argonne Nationwide Laboratory

With decision 1,000 occasions higher than a lightweight microscope, electron microscopes are exceptionally good at imaging supplies and detailing their properties. However like all applied sciences, they’ve some limitations.

To beat these limitations, scientists have historically centered on upgrading {hardware}, which is expensive. However researchers on the U.S. Division of Power’s (DOE) Argonne Nationwide Laboratory are displaying that superior software program developments can push their efficiency additional.

Argonne researchers have not too long ago uncovered a approach to enhance the decision and sensitivity of an electron microscope by utilizing a synthetic intelligence (AI) framework in a singular approach. Their strategy, revealed in npj Computational Supplies, permits scientists to get much more detailed details about supplies and the microscope itself, which might additional broaden its makes use of.

“Our methodology helps enhance the decision of present devices so folks need not improve to new costly {hardware} so usually,” stated Argonne assistant scientist and lead writer Tao Zhou.

Challenges with electron microscopy as we speak

Electrons act like waves once they journey, and electron microscopes exploit this data to create photos. Photos are shaped when a cloth is uncovered to a beam of electron waves. Passing by, these waves work together with the fabric, and this interplay is captured by a detector and measured. These measurements are used to assemble a magnified picture.

Together with creating magnified photos, electron microscopes additionally seize details about materials properties, similar to magnetization and electrostatic potential, which is the power wanted to maneuver a cost towards an electrical subject. This data is saved in a property of the electron wave referred to as part. Part describes the placement or timing of some extent inside a wave cycle, similar to the purpose the place a wave reaches its peak.

When measurements are taken, details about the part is seemingly misplaced. In consequence, scientists can not entry details about magnetization or electrostatic potential from the photographs they purchase.

“Understanding these traits is important to controlling and engineering desired properties in supplies for batteries, electronics and different gadgets. That is why retrieving part data is necessary,” stated Argonne materials scientist and group chief Charudatta Phatak, a co-author of the paper.

Utilizing an AI framework to retrieve part data

Retrieving part data is a decades-old drawback. It originated in X-ray imaging and is now shared by different fields, together with electron microscopy. To resolve this drawback, Phatak, Zhou and Argonne computational scientist and group chief Mathew Cherukara suggest leveraging instruments constructed to coach deep neural networks, a type of AI.

Neural networks are primarily a collection of algorithms designed to imitate the human mind and nervous system. When given a collection of inputs and output, these algorithms search to map out the connection between the 2. However to do that precisely, neural networks must be educated. That is the place coaching algorithms come into play.

“Tech corporations like Google and Fb have developed packages of software program which might be designed to coach neural networks. What we have primarily completed is taken these and utilized them to the scientific problem of part retrieval,” stated Cherukara.

Utilizing these coaching algorithms, the analysis staff demonstrated a solution to get well part data. However what makes their strategy distinctive is that it additionally permits scientists to retrieve important details about their electron microscope.

“Usually if you’re making an attempt to retrieve the part, you presume your microscope parameters completely. Nevertheless, that data may not be correct,” Zhou identified. “With our methodology, you do not have to depend on this assumption. As a substitute, you truly get the situations of your microscope—that is one thing different part retrieval strategies cannot do.”

Their methodology additionally improves the decision and sensitivity of present tools. Which means that researchers will be capable of get well tiny shifts in part, and in flip, get details about small modifications in magnetization and electrostatic potential, all with out requiring expensive {hardware} upgrades.

“Simply doing a software program improve we had been in a position to enhance the spatial decision, accuracy and sensitivity of our microscopy,” stated Zhou. “The truth that we did not want so as to add any new tools to leverage these advantages is a large benefit from an experimentalist’s standpoint.”

The paper, titled “Differential programming enabled purposeful imaging with Lorentz transmission electron microscopy,” was revealed Sept. 6.


Growth of a high-energy-resolution, lanthanum hexaboride nanowire-based subject emission gun


Extra data:
Tao Zhou et al, Differential programming enabled purposeful imaging with Lorentz transmission electron microscopy, npj Computational Supplies (2021). DOI: 10.1038/s41524-021-00600-x

Offered by
Argonne Nationwide Laboratory

Quotation:
Synthetic intelligence magnifies the utility of electron microscopes (2021, December 17)
retrieved 22 December 2021
from https://techxplore.com/information/2021-12-artificial-intelligence-magnifies-electron-microscopes.html

This doc is topic to copyright. Aside from any honest dealing for the aim of personal examine or analysis, no
half could also be reproduced with out the written permission. The content material is offered for data functions solely.





Source link

Tags: artificialelectronintelligencemagnifiesmicroscopesutility
Previous Post

Aeropress Go:Go accessory coffee container & scoop

Next Post

Akeneo Enterprise Shopify Connector || PIM Article

Related Posts

This week in AI updates: Mistral’s new Le Chat features, ChatGPT updates, and more (September 5, 2025)
Softwares

This week in AI updates: Mistral’s new Le Chat features, ChatGPT updates, and more (September 5, 2025)

by admin
September 5, 2025
AI coding assistants speed delivery but multiply security risk
Softwares

AI coding assistants speed delivery but multiply security risk

by admin
September 4, 2025
NFT Real Estate Marketplace Development: Guide to NFT Marketplaces
Softwares

NFT Real Estate Marketplace Development: Guide to NFT Marketplaces

by admin
September 2, 2025
Crash fixes – Vivaldi Browser snapshot 3794.4
Softwares

Crash fixes – Vivaldi Browser snapshot 3794.4

by admin
September 1, 2025
User guide for Odoo Website Store Locator
Softwares

User guide for Odoo Website Store Locator

by admin
August 29, 2025
Next Post
Akeneo Enterprise Shopify Connector || PIM Article

Akeneo Enterprise Shopify Connector || PIM Article

Solving the challenges of shifting security left

Solving the challenges of shifting security left

  • Trending
  • Comments
  • Latest
I Only Have More Questions After Another Bizarre Outing With The Harrigans

I Only Have More Questions After Another Bizarre Outing With The Harrigans

April 20, 2025
Amazon Forgot to Take the 2024 MacBook Air Off Sale After Their Big Spring Event

Amazon Forgot to Take the 2024 MacBook Air Off Sale After Their Big Spring Event

April 4, 2025
Ecca Vandal’s “CRUISING TO SELF SOOTHE” video is an ode to skate culture

Ecca Vandal’s “CRUISING TO SELF SOOTHE” video is an ode to skate culture

March 10, 2025
Easy Blueberry Scones (With Frozen Blueberries)

Easy Blueberry Scones (With Frozen Blueberries)

April 10, 2025
Tuesday Snapshot – Vivaldi Browser snapshot 3621.3

Tuesday Snapshot – Vivaldi Browser snapshot 3621.3

March 5, 2025
A Global Recognition of Indi

A Global Recognition of Indi

April 21, 2025
I finally watched The Truman Show

I finally watched The Truman Show

April 6, 2025
It’s time for open-source contributions

It’s time for open-source contributions

February 9, 2025
OnePlus and Hasselblad are ending their five-year partnership

OnePlus and Hasselblad are ending their five-year partnership

September 5, 2025
This week in AI updates: Mistral’s new Le Chat features, ChatGPT updates, and more (September 5, 2025)

This week in AI updates: Mistral’s new Le Chat features, ChatGPT updates, and more (September 5, 2025)

September 5, 2025
Ozzy Osbourne to Receive All-Star Tribute at MTV VMAs

Ozzy Osbourne to Receive All-Star Tribute at MTV VMAs

September 5, 2025
Dragon Ball Reveals New Super Saiyan Goku vs Majin Buu Scene

Dragon Ball Reveals New Super Saiyan Goku vs Majin Buu Scene

September 5, 2025
Caitlin Clark to Miss Rest of WNBA Season After Groin Injury

Caitlin Clark to Miss Rest of WNBA Season After Groin Injury

September 5, 2025
Facebook Is Trying To Make Pokes Happen (Again)

Facebook Is Trying To Make Pokes Happen (Again)

September 5, 2025
Freddie Gibbs & The Alchemist Confirm ‘Alfredo 3’ Is In The Works

Freddie Gibbs & The Alchemist Confirm ‘Alfredo 3’ Is In The Works

September 4, 2025
Jennifer Aniston’s New Boyfriend Jim Curtis Dated Bethenny Frankel

Jennifer Aniston’s New Boyfriend Jim Curtis Dated Bethenny Frankel

September 4, 2025
New Self New Life

Your source for entertainment news, celebrities, celebrity news, and Music, Cinema, Digital Lifestyle and Social Media and More !

Categories

  • Celebrity
  • Cinema
  • Devices
  • Digital Lifestyle
  • Entertainment
  • Music
  • Social Media
  • Softwares
  • Uncategorized

Recent Posts

  • OnePlus and Hasselblad are ending their five-year partnership
  • This week in AI updates: Mistral’s new Le Chat features, ChatGPT updates, and more (September 5, 2025)
  • Ozzy Osbourne to Receive All-Star Tribute at MTV VMAs
  • Home
  • Disclaimer
  • DMCA
  • Privacy Policy
  • Cookie Privacy Policy
  • Terms and Conditions
  • Contact us

Copyright © 2021 New Self New Life.
New Self New Life is not responsible for the content of external sites. slotsfree  creator solana token

No Result
View All Result
  • Home
  • Entertainment
  • Celebrity
  • Cinema
  • Music
  • Digital Lifestyle
  • Social Media
  • Softwares
  • Devices

Copyright © 2021 New Self New Life.
New Self New Life is not responsible for the content of external sites.

New Self New Life