ORNL Leverages Supercomputing Simulations to Advance Nanocellulosic Fiber Manufacturing

September 9, 2024

Sept. 9, 2024 — A team led by scientists at the Department of Energy’s Oak Ridge National Laboratory identified and successfully demonstrated a new method to process a plant-based material called nanocellulose that reduced energy needs by a whopping 21%. The approach was discovered using molecular simulations run on the lab’s supercomputers, followed by pilot testing and analysis.

ORNL scientists used molecular dynamics simulations, exascale computing, lab testing and analysis to accelerate the development of an energy-saving method to produce nanocellulosic fibers. This strong, lightweight, material is ideal for 3D-printing of sustainable housing, vehicles and clean energy components. Credit: Andy Sproles/ ORNL.

The method, leveraging a solvent of sodium hydroxide and urea in water, can significantly lower the production cost of nanocellulosic fiber — a strong, lightweight biomaterial ideal as a composite for 3D-printing structures such as sustainable housing and vehicle assemblies. The findings support the development of a circular bioeconomy in which renewable, biodegradable materials replace petroleum-based resources, decarbonizing the economy and reducing waste.

Colleagues at ORNL, the University of Tennessee, Knoxville, and the University of Maine’s Process Development Center collaborated on the project that targets a more efficient method of producing a highly desirable material. Nanocellulose is a form of the natural polymer cellulose found in plant cell walls that is up to eight times stronger than steel.

The scientists pursued more efficient fibrillation: the process of separating cellulose into nanofibrils, traditionally an energy-intensive, high-pressure mechanical procedure occurring in an aqueous pulp suspension. The researchers tested eight candidate solvents to determine which would function as a better pretreatment for cellulose. They used computer models that mimic the behavior of atoms and molecules in the solvents and cellulose as they move and interact. The approach simulated about 0.6 million atoms, giving scientists an understanding of the complex process without the need for initial, time-consuming physical work in the lab.

The simulations developed by researchers with the UT-ORNL Center for Molecular Biophysics, or CMB, and the Chemical Sciences Division at ORNL were run on the Frontier exascale computing system — the world’s fastest supercomputer for open science. Frontier is part of the Oak Ridge Leadership Computing Facility, a DOE Office of Science user facility at ORNL.

“These simulations, looking at every single atom and the forces between them, provide detailed insight into not just whether a process works, but exactly why it works,” said project lead Jeremy Smith, director of the CMB and a UT-ORNL Governor’s Chair.

Once the best candidate was identified, the scientists followed up with pilot-scale experiments that confirmed the solvent pretreatment resulted in an energy savings of 21% compared to using water alone, as described in the Proceedings of the National Academy of Sciences.

With the winning solvent, researchers estimated electricity savings potential of about 777 kilowatt hours per metric ton of cellulose nanofibrils, or CNF, which is roughly the equivalent to the amount needed to power a house for a month. Testing of the resulting fibers at the Center for Nanophase Materials Science, a DOE Office of Science user facility at ORNL, and U-Maine found similar mechanical strength and other desirable characteristics compared with conventionally produced CNF.

“We targeted the separation and drying process since it is the most energy-intense stage in creating nanocellulosic fiber,” said Monojoy Goswami of ORNL’s Carbon and Composites group. “Using these molecular dynamics simulations and our high-performance computing at Frontier, we were able to accomplish quickly what might have taken us years in trial-and-error experiments.”

The Right Mix of Materials, Manufacturing

“When we combine our computational, materials science and manufacturing expertise and nanoscience tools at ORNL with the knowledge of forestry products at the University of Maine, we can take some of the guessing game out of science and develop more targeted solutions for experimentation,” said Soydan Ozcan, lead for the Sustainable Manufacturing Technologies group at ORNL.

The project is supported by both the DOE Office of Energy Efficiency and Renewable Energy’s Advanced Materials and Manufacturing Technologies Office, or AMMTO, and by the partnership of ORNL and U-Maine known as the Hub & Spoke Sustainable Materials & Manufacturing Alliance for Renewable Technologies Program, or SM2ART.

The SM2ART program focuses on developing an infrastructure-scale factory of the future, where sustainable, carbon-storing biomaterials are used to build everything from houses, ships and automobiles to clean energy infrastructure such as wind turbine components, Ozcan said.

“Creating strong, affordable, carbon-neutral materials for 3D printers gives us an edge to solve issues like the housing shortage,” Smith said.

It typically takes about six months to build a house using conventional methods. But with the right mix of materials and additive manufacturing, producing and assembling sustainable, modular housing components could take just a day or two, the scientists added.

The team continues to pursue additional pathways for more cost-effective nanocellulose production, including new drying processes. Follow-on research is expected to use simulations to also predict the best combination of nanocellulose and other polymers to create fiber-reinforced composites for advanced manufacturing systems such as the ones being developed and refined at DOE’s Manufacturing Demonstration Facility, or MDF, at ORNL. The MDF, supported by AMMTO, is a nationwide consortium of collaborators working with ORNL to innovate, inspire and catalyze the transformation of U.S. manufacturing.

Other scientists on the solvents project include Shih-Hsien Liu, Shalini Rukmani, Mohan Mood, Yan Yu and Derya Vural with the UT-ORNL Center for Molecular Biophysics; Katie Copenhaver, Meghan Lamm, Kai Li and Jihua Chen of ORNL; Donna Johnson of the University of Maine, Micholas Smith of the University of Tennessee, Loukas Petridis, currently at Schrödinger and Samarthya Bhagia, currently at PlantSwitch.


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!

AMD Announces Flurry of New Chips

October 10, 2024

AMD today announced several new chips including its newest Instinct GPU — the MI325X — as it chases Nvidia. Other new devices announced at the company event in San Francisco included the 5th Gen AMD EPYC processors, Read more…

NSF Grants $107,600 to English Professors to Research Aurora Supercomputer

October 9, 2024

The National Science Foundation has granted $107,600 to English professors at US universities to unearth the mysteries of the Aurora supercomputer. The two-year grant recipients will write up what the Aurora supercompute Read more…

VAST Looks Inward, Outward for An AI Edge

October 9, 2024

There’s no single best way to respond to the explosion of data and AI. Sometimes you need to bring everything into your own unified platform. Other times, you lean on friends and neighbors to chart a way forward. Those Read more…

Google Reports Progress on Quantum Devices beyond Supercomputer Capability

October 9, 2024

A Google-led team of researchers has presented more evidence that it’s possible to run productive circuits on today’s near-term intermediate scale quantum devices that are beyond the reach of classical computing. � Read more…

At 50, Foxconn Celebrates Graduation from Connectors to AI Supercomputing

October 8, 2024

Foxconn is celebrating its 50th birthday this year. It started by making connectors, then moved to systems, and now, a supercomputer. The company announced it would build the supercomputer with Nvidia's Blackwell GPUs an Read more…

ZLUDA Takes Third Wack as a CUDA Emulator

October 7, 2024

The ZLUDA CUDA emulator is back in its third invocation. At one point, the project was quietly funded by AMD and demonstrated the ability to run unmodified CUDA applications with near-native performance on AMD GPUs. Cons Read more…

NSF Grants $107,600 to English Professors to Research Aurora Supercomputer

October 9, 2024

The National Science Foundation has granted $107,600 to English professors at US universities to unearth the mysteries of the Aurora supercomputer. The two-year Read more…

VAST Looks Inward, Outward for An AI Edge

October 9, 2024

There’s no single best way to respond to the explosion of data and AI. Sometimes you need to bring everything into your own unified platform. Other times, you Read more…

Google Reports Progress on Quantum Devices beyond Supercomputer Capability

October 9, 2024

A Google-led team of researchers has presented more evidence that it’s possible to run productive circuits on today’s near-term intermediate scale quantum d Read more…

At 50, Foxconn Celebrates Graduation from Connectors to AI Supercomputing

October 8, 2024

Foxconn is celebrating its 50th birthday this year. It started by making connectors, then moved to systems, and now, a supercomputer. The company announced it w Read more…

The New MLPerf Storage Benchmark Runs Without ML Accelerators

October 3, 2024

MLCommons is known for its independent Machine Learning (ML) benchmarks. These benchmarks have focused on mathematical ML operations and accelerators (e.g., Nvi Read more…

DataPelago Unveils Universal Engine to Unite Big Data, Advanced Analytics, HPC, and AI Workloads

October 3, 2024

DataPelago this week emerged from stealth with a new virtualization layer that it says will allow users to move AI, data analytics, and ETL workloads to whateve Read more…

Stayin’ Alive: Intel’s Falcon Shores GPU Will Survive Restructuring

October 2, 2024

Intel's upcoming Falcon Shores GPU will survive the brutal cost-cutting measures as part of its "next phase of transformation." An Intel spokeswoman confirmed t Read more…

How GenAI Will Impact Jobs In the Real World

September 30, 2024

There’s been a lot of fear, uncertainty, and doubt (FUD) about the potential for generative AI to take people’s jobs. The capability of large language model Read more…

Shutterstock_2176157037

Intel’s Falcon Shores Future Looks Bleak as It Concedes AI Training to GPU Rivals

September 17, 2024

Intel's Falcon Shores future looks bleak as it concedes AI training to GPU rivals On Monday, Intel sent a letter to employees detailing its comeback plan after Read more…

Granite Rapids HPC Benchmarks: I’m Thinking Intel Is Back (Updated)

September 25, 2024

Waiting is the hardest part. In the fall of 2023, HPCwire wrote about the new diverging Xeon processor strategy from Intel. Instead of a on-size-fits all approa Read more…

Ansys Fluent® Adds AMD Instinct™ MI200 and MI300 Acceleration to Power CFD Simulations

September 23, 2024

Ansys Fluent® is well-known in the commercial computational fluid dynamics (CFD) space and is praised for its versatility as a general-purpose solver. Its impr Read more…

AMD Clears Up Messy GPU Roadmap, Upgrades Chips Annually

June 3, 2024

In the world of AI, there's a desperate search for an alternative to Nvidia's GPUs, and AMD is stepping up to the plate. AMD detailed its updated GPU roadmap, w Read more…

Nvidia Shipped 3.76 Million Data-center GPUs in 2023, According to Study

June 10, 2024

Nvidia had an explosive 2023 in data-center GPU shipments, which totaled roughly 3.76 million units, according to a study conducted by semiconductor analyst fir Read more…

Shutterstock_1687123447

Nvidia Economics: Make $5-$7 for Every $1 Spent on GPUs

June 30, 2024

Nvidia is saying that companies could make $5 to $7 for every $1 invested in GPUs over a four-year period. Customers are investing billions in new Nvidia hardwa Read more…

Shutterstock 1024337068

Researchers Benchmark Nvidia’s GH200 Supercomputing Chips

September 4, 2024

Nvidia is putting its GH200 chips in European supercomputers, and researchers are getting their hands on those systems and releasing research papers with perfor 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…

Leading Solution Providers

Contributors

IBM Develops New Quantum Benchmarking Tool — Benchpress

September 26, 2024

Benchmarking is an important topic in quantum computing. There’s consensus it’s needed but opinions vary widely on how to go about it. Last week, IBM introd Read more…

Intel Customizing Granite Rapids Server Chips for Nvidia GPUs

September 25, 2024

Intel is now customizing its latest Xeon 6 server chips for use with Nvidia's GPUs that dominate the AI landscape. The chipmaker's new Xeon 6 chips, also called Read more…

Quantum and AI: Navigating the Resource Challenge

September 18, 2024

Rapid advancements in quantum computing are bringing a new era of technological possibilities. However, as quantum technology progresses, there are growing conc Read more…

Google’s DataGemma Tackles AI Hallucination

September 18, 2024

The rapid evolution of large language models (LLMs) has fueled significant advancement in AI, enabling these systems to analyze text, generate summaries, sugges Read more…

IonQ Plots Path to Commercial (Quantum) Advantage

July 2, 2024

IonQ, the trapped ion quantum computing specialist, delivered a progress report last week firming up 2024/25 product goals and reviewing its technology roadmap. Read more…

Microsoft, Quantinuum Use Hybrid Workflow to Simulate Catalyst

September 13, 2024

Microsoft and Quantinuum reported the ability to create 12 logical qubits on Quantinuum's H2 trapped ion system this week and also reported using two logical qu Read more…

US Implements Controls on Quantum Computing and other Technologies

September 27, 2024

Yesterday the Commerce Department announced export controls on quantum computing technologies as well as new controls for advanced semiconductors and additive Read more…

Everyone Except Nvidia Forms Ultra Accelerator Link (UALink) Consortium

May 30, 2024

Consider the GPU. An island of SIMD greatness that makes light work of matrix math. Originally designed to rapidly paint dots on a computer monitor, it was then Read more…

  • arrow
  • Click Here for More Headlines
  • arrow
HPCwire