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Related Concept Videos

Inductively Coupled Plasma Atomic Emission Spectroscopy: Instrumentation01:26

Inductively Coupled Plasma Atomic Emission Spectroscopy: Instrumentation

Inductively coupled plasma (ICP) is the common plasma source used in atomic emission spectroscopy (AES), a technique that detects and analyzes various elements in a sample. This method is often called inductively coupled plasma atomic emission spectroscopy (ICP-AES).
There are three main types of inductively coupled plasma atomic emission spectroscopy  (ICP-AES) instruments: sequential, simultaneous multichannel, and Fourier transform instruments, with the latter being less commonly used.

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Automated Robotic Liquid Handling Assembly of Modular DNA Devices
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AURORA - An Automatic Robotic Platform for Materials Discovery.

Bingyu Lei1, Per H Svensson2, Pavel Yushmanov3

  • 1Applied Physical Chemistry, Department of Chemistry, KTH Royal Institute of Technology, Stockholm SE-114 28, Sweden.

ACS Applied Materials & Interfaces
|April 23, 2025
PubMed
Summary
This summary is machine-generated.

AURORA, an automated platform, accelerates renewable energy material discovery. It synthesizes, characterizes, and evaluates materials like perovskites for solar cells, improving efficiency and reliability.

Keywords:
automatic platformmaterial discoverymesoscopic solar cellsperovskite-like materialsrobotized screening

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Area of Science:

  • Materials Science
  • Renewable Energy
  • Robotics

Background:

  • The demand for renewable energy necessitates faster materials discovery.
  • Current methods for materials research can be inefficient and prone to errors.

Purpose of the Study:

  • To introduce AURORA, an integrated robotic platform for automated materials synthesis, characterization, and evaluation.
  • To demonstrate AURORA's capability in discovering and optimizing materials for solar cell applications.

Main Methods:

  • Development and implementation of the AURORA robotic platform.
  • Automated synthesis and characterization of polycrystalline, mixed halide perovskites.
  • Evaluation of materials in mesoscopic solar cell devices, including post-synthesis treatments and stress analyses.

Main Results:

  • Successful autonomous synthesis and evaluation of perovskite materials.
  • Creation of a novel mesoscopic solar cell array with enhanced data reliability and throughput.
  • Demonstration of AURORA's adaptability for diverse material screening and post-synthesis analysis.

Conclusions:

  • AURORA is a transformative, modular, and adaptable platform for automated materials research.
  • The platform offers improved efficiency, reduced errors, and potential for machine learning integration.
  • AURORA advances the discovery of novel materials for renewable energy solutions.