Seven ORNL Researchers Elected AAAS Fellows

November 29, 2016

OAK RIDGE, Tenn., Nov. 29 — Seven researchers at the Department of Energy’s Oak Ridge National Laboratory have been elected fellows of the American Association for the Advancement of Science (AAAS).

The AAAS is the world’s largest multidisciplinary scientific society and publisher of the Science family of journals. The AAAS Council elects fellows whose “efforts on behalf of the advancement of science or its applications are scientifically or socially distinguished.”

Bryan Chakoumakos, lead of the Structure of Matter Group in the Quantum Condensed Matter Division, was nominated by the AAAS section on geology and geography for “outstanding contributions to the physical, chemical, earth and materials sciences through the application of the techniques of neutron and X-ray diffraction and materials synthesis.”

Chakoumakos studies structure property relationships in technological and natural materials and the synthesis, crystal growth and characterization of novel materials. He is a fellow of the American Crystallographic Association and the Mineralogical Society of American, and a scientific director of the National School on Neutron and X-Ray Scattering, an educational program for graduate student researchers run by ORNL and Argonne National Laboratory.

David Dean, director of the Physics Division and ORNL Isotope Program, was nominated by the AAAS section on physics for “distinguished contributions to the field of nuclear theory, particularly for development and application of innovative computational techniques and for academic leadership and public service.”

Dean is the former director of ORNL’s Office of Institutional Planning and Nuclear Theory Group and former Senior Advisor to the Under Secretary of Science at the Department of Energy. He served as an associate editor of Physical Review Letters for six years and is a fellow of the Institute of Physics in London and the American Physical Society, where he serves as vice chair of the Division of Nuclear Physics.

Baohua Gu, team lead of Environmental Molecular Processes in the Environmental Sciences Division, was nominated by the AAAS section on industrial science and technology for “distinguished contributions to molecular-scale mechanisms that control cycling of natural organic matter, contaminants and toxic metals and for technology innovations to remediate contaminants in the environments.”

Gu is an author of more than 250 journal publications, books and book chapters on biogeochemical transformation and transport of environmental pollutants, such as mercury and uranium, soil carbon degradation, mineral interfacial interactions and spectroscopic studies. He has a joint appointment as a professor at the University of Tennessee and is a fellow of the Geological Society of America.

George Ostrouchov, senior research staff and analytics task lead in the Scientific Data Group of the Computer Science and Mathematics Division, was nominated by the AAAS section on statistics for “distinguished leadership in the field of statistical computing, particularly to enable parallel computation on big data with statistical software, and for service to profession.”

Ostrouchov serves as a matrix member of the Advanced Data and Workflow Group at the Oak Ridge Leadership Computing Facility and as a joint faculty member of the Business Analytics and Statistics Department at the University of Tennessee (UT). He also leads pbdR.org’s “Programming with Big Data in R” Project and is a fellow of the American Statistical Association.

Brian Sales, distinguished research scientist and lead of the Correlated Electron Materials Group in the Materials Science and Technology Division, was nominated by the AAAS section on physics for “pioneering research for clean energy technologies, including thermoelectric and superconducting materials, and materials for nuclear waste storage.”

Sales has authored more than 350 papers, six patents and five book chapters on the synthesis and characterization of unusual and novel electronic and magnetic materials.

He is the deputy lead of the Developing Substitutes Focus Area in the Critical Materials Institute, a DOE Energy Innovation Hub. He is also a fellow of the American Physical Society and was named an ORNL corporate fellow in 2012.

Tjerk P. Straatsma, lead of the Scientific Computing Group in the Center for Computational Sciences, was nominated by the AAAS section on chemistry for “distinguished contributions in the field of computational science, particularly for the development, efficient implementation and application of advanced chemical physics modeling and simulation methods.”

Straatsma has more than 30 years of experience developing computational techniques that provide unique and detailed information essential to understanding complex chemical and biomolecular systems. He leads the Center for Accelerated Application Readiness at the Oak Ridge Leadership Computing Facility and the Applications working group of the Institute for Accelerated Data Analytics and Computing. He is also an adjunct professor at the University of Alabama.

Brian Wirth, UT-ORNL Governor’s Chair for Computational Nuclear Engineering, was nominated by the AAAS section on physics for “advancing knowledge of radiation damage mechanisms and fuel performance in fission and fusion energy via multiscale modeling using high performance computing validated by experiments.”

Wirth has also received the 2014 DOE Ernest Orlando Lawrence Award for his commitment to making nuclear energy safer and more secure, and the 2016 Mishima Award for outstanding work in nuclear fuels and materials research from the American Nuclear Society. He leads the Fuel Material and Chemistry Focus Area of the Consortium for Advanced Simulation of Light Water Reactors, a DOE Energy Innovation Hub, as well as Scientific Discovery through Advanced Computing (SciDAC) projects on plasma surface interactions and fission gas behavior in nuclear fuel.

The new fellows will be inducted in February 2017 at the AAAS Annual Meeting in Boston.

 


Source: ORNL

Subscribe to HPCwire's Weekly Update!

Be the most informed person in the room! Stay ahead of the tech trends with industry updates delivered to you every week!

Nvidia’s New Blackwell GPU Can Train AI Models with Trillions of Parameters

March 18, 2024

Nvidia's latest and fastest GPU, code-named Blackwell, is here and will underpin the company's AI plans this year. The chip offers performance improvements from its predecessors, including the red-hot H100 and A100 GPUs. Read more…

Nvidia Showcases Quantum Cloud, Expanding Quantum Portfolio at GTC24

March 18, 2024

Nvidia’s barrage of quantum news at GTC24 this week includes new products, signature collaborations, and a new Nvidia Quantum Cloud for quantum developers. While Nvidia may not spring to mind when thinking of the quant Read more…

2024 Winter Classic: Meet the HPE Mentors

March 18, 2024

The latest installment of the 2024 Winter Classic Studio Update Show features our interview with the HPE mentor team who introduced our student teams to the joys (and potential sorrows) of the HPL (LINPACK) and accompany Read more…

Houston We Have a Solution: Addressing the HPC and Tech Talent Gap

March 15, 2024

Generations of Houstonian teachers, counselors, and parents have either worked in the aerospace industry or know people who do - the prospect of entering the field was normalized for boys in 1969 when the Apollo 11 missi Read more…

Apple Buys DarwinAI Deepening its AI Push According to Report

March 14, 2024

Apple has purchased Canadian AI startup DarwinAI according to a Bloomberg report today. Apparently the deal was done early this year but still hasn’t been publicly announced according to the report. Apple is preparing Read more…

Survey of Rapid Training Methods for Neural Networks

March 14, 2024

Artificial neural networks are computing systems with interconnected layers that process and learn from data. During training, neural networks utilize optimization algorithms to iteratively refine their parameters until Read more…

Nvidia’s New Blackwell GPU Can Train AI Models with Trillions of Parameters

March 18, 2024

Nvidia's latest and fastest GPU, code-named Blackwell, is here and will underpin the company's AI plans this year. The chip offers performance improvements from Read more…

Nvidia Showcases Quantum Cloud, Expanding Quantum Portfolio at GTC24

March 18, 2024

Nvidia’s barrage of quantum news at GTC24 this week includes new products, signature collaborations, and a new Nvidia Quantum Cloud for quantum developers. Wh Read more…

Houston We Have a Solution: Addressing the HPC and Tech Talent Gap

March 15, 2024

Generations of Houstonian teachers, counselors, and parents have either worked in the aerospace industry or know people who do - the prospect of entering the fi Read more…

Survey of Rapid Training Methods for Neural Networks

March 14, 2024

Artificial neural networks are computing systems with interconnected layers that process and learn from data. During training, neural networks utilize optimizat Read more…

PASQAL Issues Roadmap to 10,000 Qubits in 2026 and Fault Tolerance in 2028

March 13, 2024

Paris-based PASQAL, a developer of neutral atom-based quantum computers, yesterday issued a roadmap for delivering systems with 10,000 physical qubits in 2026 a Read more…

India Is an AI Powerhouse Waiting to Happen, but Challenges Await

March 12, 2024

The Indian government is pushing full speed ahead to make the country an attractive technology base, especially in the hot fields of AI and semiconductors, but Read more…

Charles Tahan Exits National Quantum Coordination Office

March 12, 2024

(March 1, 2024) My first official day at the White House Office of Science and Technology Policy (OSTP) was June 15, 2020, during the depths of the COVID-19 loc Read more…

AI Bias In the Spotlight On International Women’s Day

March 11, 2024

What impact does AI bias have on women and girls? What can people do to increase female participation in the AI field? These are some of the questions the tech Read more…

Alibaba Shuts Down its Quantum Computing Effort

November 30, 2023

In case you missed it, China’s e-commerce giant Alibaba has shut down its quantum computing research effort. It’s not entirely clear what drove the change. Read more…

Nvidia H100: Are 550,000 GPUs Enough for This Year?

August 17, 2023

The GPU Squeeze continues to place a premium on Nvidia H100 GPUs. In a recent Financial Times article, Nvidia reports that it expects to ship 550,000 of its lat Read more…

Analyst Panel Says Take the Quantum Computing Plunge Now…

November 27, 2023

Should you start exploring quantum computing? Yes, said a panel of analysts convened at Tabor Communications HPC and AI on Wall Street conference earlier this y Read more…

DoD Takes a Long View of Quantum Computing

December 19, 2023

Given the large sums tied to expensive weapon systems – think $100-million-plus per F-35 fighter – it’s easy to forget the U.S. Department of Defense is a Read more…

Shutterstock 1285747942

AMD’s Horsepower-packed MI300X GPU Beats Nvidia’s Upcoming H200

December 7, 2023

AMD and Nvidia are locked in an AI performance battle – much like the gaming GPU performance clash the companies have waged for decades. AMD has claimed it Read more…

Synopsys Eats Ansys: Does HPC Get Indigestion?

February 8, 2024

Recently, it was announced that Synopsys is buying HPC tool developer Ansys. Started in Pittsburgh, Pa., in 1970 as Swanson Analysis Systems, Inc. (SASI) by John Swanson (and eventually renamed), Ansys serves the CAE (Computer Aided Engineering)/multiphysics engineering simulation market. Read more…

Intel’s Server and PC Chip Development Will Blur After 2025

January 15, 2024

Intel's dealing with much more than chip rivals breathing down its neck; it is simultaneously integrating a bevy of new technologies such as chiplets, artificia Read more…

Baidu Exits Quantum, Closely Following Alibaba’s Earlier Move

January 5, 2024

Reuters reported this week that Baidu, China’s giant e-commerce and services provider, is exiting the quantum computing development arena. Reuters reported � Read more…

Leading Solution Providers

Contributors

Choosing the Right GPU for LLM Inference and Training

December 11, 2023

Accelerating the training and inference processes of deep learning models is crucial for unleashing their true potential and NVIDIA GPUs have emerged as a game- Read more…

Training of 1-Trillion Parameter Scientific AI Begins

November 13, 2023

A US national lab has started training a massive AI brain that could ultimately become the must-have computing resource for scientific researchers. Argonne N Read more…

Shutterstock 1179408610

Google Addresses the Mysteries of Its Hypercomputer 

December 28, 2023

When Google launched its Hypercomputer earlier this month (December 2023), the first reaction was, "Say what?" It turns out that the Hypercomputer is Google's t Read more…

Comparing NVIDIA A100 and NVIDIA L40S: Which GPU is Ideal for AI and Graphics-Intensive Workloads?

October 30, 2023

With long lead times for the NVIDIA H100 and A100 GPUs, many organizations are looking at the new NVIDIA L40S GPU, which it’s a new GPU optimized for AI and g Read more…

AMD MI3000A

How AMD May Get Across the CUDA Moat

October 5, 2023

When discussing GenAI, the term "GPU" almost always enters the conversation and the topic often moves toward performance and access. Interestingly, the word "GPU" is assumed to mean "Nvidia" products. (As an aside, the popular Nvidia hardware used in GenAI are not technically... Read more…

Shutterstock 1606064203

Meta’s Zuckerberg Puts Its AI Future in the Hands of 600,000 GPUs

January 25, 2024

In under two minutes, Meta's CEO, Mark Zuckerberg, laid out the company's AI plans, which included a plan to build an artificial intelligence system with the eq Read more…

Google Introduces ‘Hypercomputer’ to Its AI Infrastructure

December 11, 2023

Google ran out of monikers to describe its new AI system released on December 7. Supercomputer perhaps wasn't an apt description, so it settled on Hypercomputer Read more…

China Is All In on a RISC-V Future

January 8, 2024

The state of RISC-V in China was discussed in a recent report released by the Jamestown Foundation, a Washington, D.C.-based think tank. The report, entitled "E Read more…

  • arrow
  • Click Here for More Headlines
  • arrow
HPCwire