CAMERA News/Awards

Overview of News and Awards. Click on the link to see the story.

New Tomographic Reconstruction Algorithm Developed at Berkeley Lab Sets World Record

Department of Energy Announces $30 Million for Research to Accelerate Scientific Advances at User Facilities

New Math Methods and Perlmutter HPC Combine to Deliver Record-Breaking ML Algorithm

CAMERA-Powered AI Discovers New Nanostructures

CAMERA's Marcus Noack Recognized by 2022 Early Scientific Career Award

CAMERA Computer Scientists Advanced Battery Design with AI

CAMERA Scientists Receive Halbach Award for Improving the Stability of the Electron Beam with AI

CAMERA Mathematicians Build an Algorithm to ‘Do the Twist’

AI Accelerates Autonomous Discovery at DOE Synchrotron and Neutron Facilities

Berkeley Lab's CAMERA Leads International Effort on Autonomous Scientific Discoveries

CRD’s Lin Lin Honored with Simons Foundation Award

Automatically Steering Experiments Toward Scientific Discovery

The Institut Laue-Langevin part of project on autonomous experiments

Dani Ushizima Named One of ’25 Women in Science in Latin America’

Lights, CAMERA, insights

Machine Learning Software that Enhances Molecular Dynamics Modeling Wins Gordon Bell Prize

Autonomous Discovery: What’s Next in Data Collection for Experimental Research

Artificial Intelligence Joins the Team for Smarter & Faster Experiments

Machine Learning at ILL: First autonomous steps of the neutron spectrometer ThALES

Berkeley Lab AI Autonomously Steers Data Acquisition at Neutron Scattering Facility in France

SMART Algorithm Makes Beamline Data Collection Smarter

CAMERA Hosts 2019 Ptycho Developers Workshop

Berkeley Lab Researchers Win Best Paper Award at ICCS

Best Paper Award @ XLOOP, CS 2019

Novel X-ray Imaging Technique Provides Nanoscale Insights into Behavior of Biological Molecules

CRD Researchers Part of Team Honored with Klaus Halbach Award

At Biden Summit, CRD's Ushizima Discusses Using Machine Learning to Improve Cancer Detection

New Algorithm Enhances Ptychographic Image Reconstruction

Berkeley Lab Paves the Way for Real-time Ptychographic Data Streaming

Scientists Use Machine Learning to Speed Discovery of Metallic Glass

COSMIC Impact: Next-Gen X-ray Microscopy Platform Now Operational

Berkeley Lab “Minimalist Machine Learning” Algorithms Analyze Images from Very Little Data

International Team Reconstructs Nanoscale Virus Features from Correlations of Scattered X-rays

New Berkeley Lab Algorithms Extract Biological Structure from Limited Data

Recognition Software Drives Matches across Multiple Science Domains

Berkeley’s Lin Lin Receives 2017 DOE Early Career Award

SLAC, Berkeley Lab Researchers Prepare for Scientific Computing on the Exascale

Berkeley Lab to Lead 5 Exascale Projects, Support 6 Others

SHARP: A "Killer App" for Ptychography

Models Help Pinpoint Material for Better Nuclear Fuel Recycling

New DOE Office of Science support for CAMERA to develop computational mathematics for experimental facilities research

CRD Researchers Honored with Director’s Awards for Exceptional Achievement

New Mathematics Advances the Frontier of Macromolecular Imaging

CRD's Daniela Ushizima Receives DOE Early Career Award

Adapting Materials Sciences Algorithms for Cancer Screening Leads to Award for Berkeley Lab Researcher

A New Mathematics for Experimental Science

Berkeley Lab Mathematicians Develop Framework for Nanocrystallography Analysis

2024

New Tomographic Reconstruction Algorithm Developed at Berkeley Lab Sets World Record

2023

Department of Energy Announces $30 Million for Research to Accelerate Scientific Advances at User Facilities

New Math Methods and Perlmutter HPC Combine to Deliver Record-Breaking ML Algorithm

CAMERA-Powered AI Discovers New Nanostructures

2022

CAMERA's Marcus Noack Recognized by 2022 Early Scientific Career Award

CAMERA Computer Scientists Advanced Battery Design with AI

2021

CAMERA Scientists Receive Halbach Award for Improving the Stability of the Electron Beam with AI

CAMERA Mathematicians Build an Algorithm to ‘Do the Twist’

AI Accelerates Autonomous Discovery at DOE Synchrotron and Neutron Facilities

Berkeley Lab's CAMERA Leads International Effort on Autonomous Scientific Discoveries

CRD’s Lin Lin Honored with Simons Foundation Award

Automatically Steering Experiments Toward Scientific Discovery

Automatically Steering Experiments Toward Scientific DiscoveryScientists have been developing an automated experimental setup of data collection, analysis, and decision making.

The Institut Laue-Langevin part of project on autonomous experiments

Dani Ushizima Named One of ’25 Women in Science in Latin America’

Lights, CAMERA, insights

Machine Learning Software that Enhances Molecular Dynamics Modeling Wins Gordon Bell Prize

Autonomous Discovery: What’s Next in Data Collection for Experimental Research

2020

Artificial Intelligence Joins the Team for Smarter & Faster Experiments

BES Artificial Intelligence Join... | U.S. DOE Office of Science(SC)Researchers have developed new artificial intelligence methods to enable “autonomous experimentation.”

Machine Learning at ILL: First autonomous steps of the neutron spectrometer ThALES

Berkeley Lab AI Autonomously Steers Data Acquisition at Neutron Scattering Facility in France

2019

SMART Algorithm Makes Beamline Data Collection Smarter

CAMERA Hosts 2019 Ptycho Developers Workshop

Berkeley Lab Researchers Win Best Paper Award at ICCS

Best Paper Award @ XLOOP, CS 2019

2018

Novel X-ray Imaging Technique Provides Nanoscale Insights into Behavior of Biological Molecules

CRD Researchers Part of Team Honored with Klaus Halbach Award

At Biden Summit, CRD's Ushizima Discusses Using Machine Learning to Improve Cancer Detection

New Algorithm Enhances Ptychographic Image Reconstruction

Berkeley Lab Paves the Way for Real-time Ptychographic Data Streaming

Scientists Use Machine Learning to Speed Discovery of Metallic Glass

Scientists Use Machine Learning to Speed Discovery of Metallic GlassSLAC and its collaborators are transforming the way new materials are discovered. In a new report, they combine artificial intelligence and accelerated experiments to discover potential alternatives to steel in a fraction of the time.

COSMIC Impact: Next-Gen X-ray Microscopy Platform Now Operational

Berkeley Lab “Minimalist Machine Learning” Algorithms Analyze Images from Very Little Data

2017

International Team Reconstructs Nanoscale Virus Features from Correlations of Scattered X-rays

New Berkeley Lab Algorithms Extract Biological Structure from Limited Data

Recognition Software Drives Matches across Multiple Science Domains

Berkeley’s Lin Lin Receives 2017 DOE Early Career Award

2016

SLAC, Berkeley Lab Researchers Prepare for Scientific Computing on the Exascale

SLAC, Berkeley Lab Researchers Prepare for Scientific Computing on the ExascaleTwo recently funded computing projects work toward developing cutting-edge scientific applications for future exascale supercomputers that can perform at least a billion billion computing operations per second.

Berkeley Lab to Lead 5 Exascale Projects, Support 6 Others

SHARP: A "Killer App" for Ptychography

Models Help Pinpoint Material for Better Nuclear Fuel Recycling

2015

New DOE Office of Science support for CAMERA to develop computational mathematics for experimental facilities research

CRD Researchers Honored with Director’s Awards for Exceptional Achievement

New Mathematics Advances the Frontier of Macromolecular Imaging

CRD's Daniela Ushizima Receives DOE Early Career Award

2014

Adapting Materials Sciences Algorithms for Cancer Screening Leads to Award for Berkeley Lab Researcher

A New Mathematics for Experimental Science

Berkeley Lab Mathematicians Develop Framework for Nanocrystallography Analysis

Page updated

Report abuse