High-Performance Computing Models Combustion Kinetics

By Nicole Hemsoth

May 26, 2006

Even though combustion provides 85 percent of the energy humans use, little is known about many of its most basic chemical reactions. Researchers in Argonne's Chemistry Division have brought together advances in theoretical chemical kinetics and high-performance computing to speed research in the chemistry of fuel combustion.

The chemists developed a new approach to predict the rates of chemical reactions that greatly increases efficiency while maintaining accuracy, cutting costs and allowing research to expand to larger molecules.

“Our research goal,” said senior chemist Larry Harding, “is to provide data for the development of accurate models of combustion chemistry to be used in the design of more efficient or cleaner-burning combustion devices. We want to understand in detail the kinetics of each of the individual reactions key to combustion chemistry.”

These chemists are performing basic chemistry research on radical-radical reactions relevant to the combustion of hydrocarbons. Radicals are unstable molecules with at least one unpaired electron. The advances in predicting reaction rates will also improve research in atmospheric and interstellar chemistry, including global warming and ozone issues. More accurate rate constants for the individual reactions will lead to better predictions.

Accurate experimental measurements of these reaction rates are challenging because the radicals are difficult to produce in the laboratory. Consequently only a small number of radical-radical reactions rates have been measured accurately. Previous theoretical methods required long computer simulations and could only be applied to small radicals.

“We can now calculate the rates for reactions of interest to us within days to a week, compared to six months to a year previously,” said senior chemist Stephen Klippenstein. The research findings appeared in the report, “Predictive Theory for the Combination Kinetics of Two Alkyl Radicals” published in the March 14 issue of Physical Chemistry Chemical Physics (8, 1133-1147).

“The new technique couples efficient quantum chemistry and reaction rate theory with large-scale parallel computing,” said Harding. The team of three chemists — including postdoctoral researcher Yuri Georgievskii — adapted a fast but less accurate method for calculating the needed radical-radical interaction potentials with a simple correction to efficiently obtain accurate results.

For the past decade, Harding and Klippenstein split the work into two parts. Klippenstein would generate a thousand geometries of importance. Harding plugged them into his computer codes and calculated the energy for each geometry. They would work back and forth until they had enough data.

“The whole process would take months of computer time as well as months of our own time just correlating things and taking care of all the bookkeeping,” Klippenstein said.

“Now that is all automated,” Harding explained, “and we also have this more efficient way of doing the electronic structure calculations. Calculating the energy for one geometry used to take us an hour or two; now it takes about a minute.”

Harding explains “the new method has been successfully applied to both self- (methyl plus methyl) and cross-combinations (methyl plus ethyl) of methyl, ethyl, iso-propyl and tert-butyl radicals, answering a long-standing debate about temperature dependence. The reaction rates decrease with increasing temperature.”

This finding is opposite of expected behavior because most reactions speed up as temperature increases. Before this, many chemists believed that the rates of combination reactions were independent of temperature or that there were small positive temperature dependencies, Klippenstein explained.

This new understanding of the temperature dependence is critical because in the past most of the measurements have been performed at room temperature. “Since we are studying combustion at 1,000 to 2,000 Kelvin, large-scale extrapolations were needed,” said Klippenstein.

The new approach also:

  • Validated the geometric mean rule postulated in the 1960s. The geometric mean rule states that the rate of a cross-combination, such as methyl plus ethyl, is twice the square root of the product of the two corresponding self-combinations, methyl plus methyl and ethyl plus ethyl. “This appears to be reliable in relating the rates of cross reactions to rates of corresponding self reactions,” said Klippenstein.
  • Demonstrated that the effect of methyl substituents adjacent to the radical site follows a simple rule — each additional substituent slows the reaction by a factor of two. For example, the reaction of methyl (CH3) with ethyl (C2H5) is twice as fast as methyl with iso-propyl (i-C3H7), which has one more methyl group.

The researchers are moving on to new territory. The chemists have so far only looked at hydrocarbon radicals; they now want to investigate oxygenated radicals since combustion occurs in the presence of oxygen.

Another topic to be addressed in the near future is resonance-stabilized radicals. “These radicals tend to be more stable than the other radicals and as a result are present at higher concentration in flames,” said Harding.

The resonance-stabilized radicals are key to understanding the formation of pollutants such as polycyclic aromatic hydrocarbons and soot. They also have multiple reactive sites, while those they have studied up to now have only a single reactive site.

This Chemistry Division work is supported by the Division of Chemical Sciences, Geosciences and Biosciences in the Department of Energy's Office of Basic Energy Sciences. Research was also performed at Sandia National Laboratory, operated by Sandia Corp., a Lockheed Martin Co.

—–

Source: Argonne National Laboratory

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!

AI Saves the Planet this Earth Day

April 22, 2024

Earth Day was originally conceived as a day of reflection. Our planet’s life-sustaining properties are unlike any other celestial body that we’ve observed, and this day of contemplation is meant to provide all of us Read more…

Intel Announces Hala Point – World’s Largest Neuromorphic System for Sustainable AI

April 22, 2024

As we find ourselves on the brink of a technological revolution, the need for efficient and sustainable computing solutions has never been more critical.  A computer system that can mimic the way humans process and s Read more…

Empowering High-Performance Computing for Artificial Intelligence

April 19, 2024

Artificial intelligence (AI) presents some of the most challenging demands in information technology, especially concerning computing power and data movement. As a result of these challenges, high-performance computing Read more…

Kathy Yelick on Post-Exascale Challenges

April 18, 2024

With the exascale era underway, the HPC community is already turning its attention to zettascale computing, the next of the 1,000-fold performance leaps that have occurred about once a decade. With this in mind, the ISC Read more…

2024 Winter Classic: Texas Two Step

April 18, 2024

Texas Tech University. Their middle name is ‘tech’, so it’s no surprise that they’ve been fielding not one, but two teams in the last three Winter Classic cluster competitions. Their teams, dubbed Matador and Red Read more…

2024 Winter Classic: The Return of Team Fayetteville

April 18, 2024

Hailing from Fayetteville, NC, Fayetteville State University stayed under the radar in their first Winter Classic competition in 2022. Solid students for sure, but not a lot of HPC experience. All good. They didn’t Read more…

AI Saves the Planet this Earth Day

April 22, 2024

Earth Day was originally conceived as a day of reflection. Our planet’s life-sustaining properties are unlike any other celestial body that we’ve observed, Read more…

Kathy Yelick on Post-Exascale Challenges

April 18, 2024

With the exascale era underway, the HPC community is already turning its attention to zettascale computing, the next of the 1,000-fold performance leaps that ha Read more…

Software Specialist Horizon Quantum to Build First-of-a-Kind Hardware Testbed

April 18, 2024

Horizon Quantum Computing, a Singapore-based quantum software start-up, announced today it would build its own testbed of quantum computers, starting with use o Read more…

MLCommons Launches New AI Safety Benchmark Initiative

April 16, 2024

MLCommons, organizer of the popular MLPerf benchmarking exercises (training and inference), is starting a new effort to benchmark AI Safety, one of the most pre Read more…

Exciting Updates From Stanford HAI’s Seventh Annual AI Index Report

April 15, 2024

As the AI revolution marches on, it is vital to continually reassess how this technology is reshaping our world. To that end, researchers at Stanford’s Instit Read more…

Intel’s Vision Advantage: Chips Are Available Off-the-Shelf

April 11, 2024

The chip market is facing a crisis: chip development is now concentrated in the hands of the few. A confluence of events this week reminded us how few chips Read more…

The VC View: Quantonation’s Deep Dive into Funding Quantum Start-ups

April 11, 2024

Yesterday Quantonation — which promotes itself as a one-of-a-kind venture capital (VC) company specializing in quantum science and deep physics  — announce Read more…

Nvidia’s GTC Is the New Intel IDF

April 9, 2024

After many years, Nvidia's GPU Technology Conference (GTC) was back in person and has become the conference for those who care about semiconductors and AI. I 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…

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…

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…

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…

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…

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…

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…

Leading Solution Providers

Contributors

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…

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…

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…

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

March 18, 2024

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

Eyes on the Quantum Prize – D-Wave Says its Time is Now

January 30, 2024

Early quantum computing pioneer D-Wave again asserted – that at least for D-Wave – the commercial quantum era has begun. Speaking at its first in-person Ana Read more…

GenAI Having Major Impact on Data Culture, Survey Says

February 21, 2024

While 2023 was the year of GenAI, the adoption rates for GenAI did not match expectations. Most organizations are continuing to invest in GenAI but are yet to Read more…

The GenAI Datacenter Squeeze Is Here

February 1, 2024

The immediate effect of the GenAI GPU Squeeze was to reduce availability, either direct purchase or cloud access, increase cost, and push demand through the roof. A secondary issue has been developing over the last several years. Even though your organization secured several racks... Read more…

Intel’s Xeon General Manager Talks about Server Chips 

January 2, 2024

Intel is talking data-center growth and is done digging graves for its dead enterprise products, including GPUs, storage, and networking products, which fell to Read more…

  • arrow
  • Click Here for More Headlines
  • arrow
HPCwire