Georgia Tech’s New Aluminum Nitride-based Semiconductor is Poised to Transform the Industry

<p>ECE professor Alan Doolittle’s AlN-based semiconductor findings represent an emerging new area of interdisciplinary research covering materials, physics, and devices.</p>

ECE professor Alan Doolittle’s AlN-based semiconductor findings represent an emerging new area of interdisciplinary research covering materials, physics, and devices.

Alan Doolittle is doing what was once thought impossible: turning an electrical insulator into an ultra-wide bandgap semiconductor. The results have groundbreaking potential for high-power electronics, optoelectronics, and more.

For the past 80 or so years, aluminum nitride (AlN) has been thought of as nothing but an electrical insulator. Because of its high electrical insulating and thermal conductivity properties, it is used frequently in electronic applications to dissipate heat quickly and maintain efficiency.

Researchers at the Georgia Institute of Technology, led by professor Alan Doolittle, are discovering that there is a lot more to AlN than meets the eye, and their promising research shows the material has the potential to transform the semiconductor industry. By leveraging the advantages of AlN, ultra-wide bandgap (UWBG) semiconductors can be used at high-power and high-temperature levels never seen before.

“It’s rare to see such encouraging early results,” said Doolittle, the Joseph M. Pettit Professor in the School for Electrical and Computer Engineering (ECE). “To put things into perspective, AlN has the ability to handle over five times the voltage of other existing wide bandgap semiconductors. It really is the birth of a new semiconductor field.”

For electrical devices, there are two types of semiconducting materials needed: one that carries positive charges (p-type) and one that carries negative charges (n-type). The Doolittle group was able to improve current conduction in p-type AlN by 30,000,000 times and n-type AlN by 6,000 times than prior best results.

The findings, recently published in Advanced Materials and the Journal of Applied Physics, received the Most Valuable Contribution Award at the 2022 Workshop on Compound Semiconductor Materials & Devices, a premier workshop in the U.S. on high performance electronic materials.

Ultra-wide Bandgaps Equal Ultra-wide Applications

Georgia Tech’s AlN-based semiconductor findings represent an emerging new area of interdisciplinary research covering materials, physics, and devices with promising applications for future generations of high-power electronics and optoelectronics, as well as quantum electronics and harsh-environment applications.

Semiconductors can both conduct and insulate electricity, meaning they are necessary for all electronic appliances to operate. Scientists make semiconductor materials by using pure elements (most frequently silicon) and adding intentional impurities to make crystals with the desired electrical, thermal, and optical prosperities.

The bandgap is one of the most important properties of a semiconductor, as it represents the minimum energy required for electrical conduction. It is also the largest factor in determining the voltage at which a device fails (called breakdown), as well as represents the energy/wavelength of light emanating from the semiconductor. UWBG semiconductors can operate at high temperatures, frequencies, and voltages, meaning less semiconductor devices are needed in high voltage circuits which increases performance and efficiency, while reducing costs. Doolittle’s AlN-based semiconductor has the highest bandgap ever demonstrated to have both p and n-type conduction needed for electronics.

“The new AlN-based semiconductor appears to have the ability to withstand voltages at incredibly high levels,” said Doolittle. “Levels that can even withstand some sections of the national utility grid, something no other semiconductor can do.”

With the ability to withstand high voltage and high frequency, AlN-based semiconductors can be utilized in power electronic devices found in automotive, industrial, and consumer applications. The technology could also allow utility grids to more effectively control how much power to transmit and where, a growing demand as old systems integrate with other smart grid innovations and renewable energy sources.

The team used a much lower temperature to grow the AlN crystals than what is normally utilized to create semiconductor materials. The low heat process allows for more precise control of the material’s surface chemistry during creation and is potentially a groundbreaking innovation in its own right.

“That kind of out of the box solution caught a lot of people off guard,” said Doolittle. “It was thought that you couldn’t grow good quality material at this low of temperature, but we’ve shown that it’s possible and has broad applicability.”

AlN’s Impressive Optical Properties

Unlike an incandescent light bulb where a filament is heated to glow and produce light, light-emitting diodes (LEDs) emit light when an electric current flows through a layered semiconductor device. The wide bandgap semiconductor material gallium nitride (GaN) was used to create the first LED blue light in the early 1990s by Isamu Akasaki, Hiroshi Amano, and Shuji Nakamura (for which they won the 2014 Nobel Prize in Physics). Creating the high energy blue LED challenged scientist for decades, as it was the final piece needed to create white light and full-color LED displays that have now revolutionized lighting technology and is predicted to save nearly 20% in energy consumption in the U.S. when fully deployed.

Like GaN, AlN’s wide bandgap means it has enormous light energy which results in the short light wavelengths needed to produce high energy deep ultra-violet (DUV) light beyond the ability of the eye to see. Because AlN has an even larger bandgap than GaN, it produces a DUV light with a wavelength of only 203 nanometers (compared to GaN’s ~365 nm) – nearly twice the energy as light from GaN.

“We're really excited about the optical properties of this material,” said Doolittle. “Researchers have been attempting to get LEDs under 270 nanometer wavelengths for a while now because it opens up an enormous range of applications.”

One such potential application for AlN-based LEDs is light disinfection, a growing focus in research and industry. Unlike current ultraviolet (UV) lights — a light disinfectant plagued by power/efficiency limitations — DUV LEDs use higher energy electromagnetic radiation that is absorbed in the dead layers of human skin instead of being absorbed in live tissue.

“This light gives us a pathway to make light emitters that can kill viruses and bacteria with significantly less — if any — damage to human skin and eyes.” said Doolittle.

Time to Engineer

With the team’s encouraging early studies showing AlN having the potential to be a revolutionary semiconductor material, they now turn to prototyping and optimization. While the new technology is a leap forward and largely solves the most difficult science problems that have roadblocked using AlN as a semiconductor, engineering challenges remain. 

Since such a wide bandgap semiconductor has never been created, a solution to make good electrical contact to the material (for electrical current to be transported to devices) is essential. All known metals are poorly suited to contact AlN, so metal alloys and exotic contacts will be needed, according to Doolittle.

Early prototypes have shown some resistance to current flow that must be improved if AlN is to reach the efficiencies it potentially can achieve. Likewise, thicker devices will need to be engineered to use in the high voltages needed to impact utility grids.

“We have ideas as to how to push this forward and view most of these issues as engineering challenges requiring only time and resources, not fundamental science limitations,” said Doolittle.

***

Citation I: H. Ahmad, J. Lindemuth, Z. Engel, C. M. Matthews, K. Motoki, W. Alan Doolittle, “Substantial P-type Conductivity of AlN Achieved via Beryllium Doping,” Advanced Materials 33 (42), 2104497, September 2021.

DOI: doi.org/10.1002/adma.202104497

Citation II: H. Ahmad, Z. Engel,  C. M. Matthews, S. Lee, and  W. Alan Doolittle, “Realization of homojunction PN AlN diodes”, J. Appl. Phys. 131, 175701 (2022)

DOI: doi.org/10.1063/5.0086314

Funding: This work was supported by the Office of Naval Research (ONR) Multidisciplinary University Research Initiatives (MURI) Program entitled, “Leveraging a New Theoretical Paradigm to Enhance Interfacial Thermal Transport In Wide Bandgap Power Electronics” under Award No. N00014-17-S-F006 administered by Dr. Mark Spector and Lynn Petersen. This work was also in part supported by the Air Force Office of Scientific Research under Award number FA9550-21-1-0318 administered by Dr. Ali Sayir.

Writer: Dan Watson

Photography: Marion Crowder

Media Contact: Dan Watson | dwatson@ece.gatech.edu

###

The Georgia Institute of Technology, or Georgia Tech, is a top 10 public research university developing leaders who advance technology and improve the human condition. The Institute offers business, computing, design, engineering, liberal arts, and sciences degrees. Its nearly 44,000 students, representing 50 states and 149 countries, study at the main campus in Atlanta, at campuses in France and China, and through distance and online learning. As a leading technological university, Georgia Tech is an engine of economic development for Georgia, the Southeast, and the nation, conducting more than $1 billion in research annually for government, industry, and society.

<p>Georgia Tech’s AlN-based semiconductor has the highest bandgap ever demonstrated to have both p and n-type conduction needed for electronics.</p>

Georgia Tech’s AlN-based semiconductor has the highest bandgap ever demonstrated to have both p and n-type conduction needed for electronics.

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Researchers 3D Print First High-Performance Nanostructured Alloy That’s Both Ultrastrong and Ductile

A strong and ductile high-entropy alloy is made from additive manufacturing, and it exhibits a hierarchical microstructure over a wide range of length scales. (Image credit: Thomas Voisin).

A strong and ductile high-entropy alloy is made from additive manufacturing, and it exhibits a hierarchical microstructure over a wide range of length scales. (Image credit: Thomas Voisin).

A team of researchers at the University of Massachusetts Amherst and the Georgia Institute of Technology has 3D printed a dual-phase, nanostructured high-entropy alloy that exceeds the strength and ductility of other state-of-the-art additively manufactured materials, which could lead to higher-performance components for applications in aerospace, medicine, energy and transportation. The research, led by Wen Chen, assistant professor of mechanical and industrial engineering at UMass, and Ting Zhu, professor of mechanical engineering at Georgia Tech, was published in the August issue of the journal Nature.

Over the past 15 years, high entropy alloys (HEAs) have become increasingly popular as a new paradigm in materials science. Comprised of five or more elements in near-equal proportions, they offer the ability to create a near-infinite number of unique combinations for alloy design. Traditional alloys, such as brass, carbon steel, stainless steel and bronze, contain a primary element combined with one or more trace elements.

Additive manufacturing, also called 3D printing, has recently emerged as a powerful approach of material development. The laser-based 3D printing can produce large temperature gradients and high cooling rates that are not readily accessible by conventional routes. However, “the potential of harnessing the combined benefits of additive manufacturing and HEAs for achieving novel properties remains largely unexplored,” says Zhu.

Chen and his team in the Multiscale Materials and Manufacturing Laboratory combined an HEA with a state-of-the-art 3D printing technique called laser powder bed fusion to develop new materials with unprecedented properties. Because the process causes materials to melt and solidify very rapidly as compared to traditional metallurgy, “you get a very different microstructure that is far-from-equilibrium” on the components created, Chen says. This microstructure looks like a net and is made of alternating layers known as face-centered cubic (FCC) and body-centered cubic (BCC) nanolamellar structures embedded in microscale eutectic colonies with random orientations. The hierarchical nanostructured HEA enables co-operative deformation of the two phases.

“This unusual microstructure’s atomic rearrangement gives rise to ultrahigh strength as well as enhanced ductility, which is uncommon, because usually strong materials tend to be brittle,” Chen says. Compared to conventional metal casting, “we got almost triple the strength and not only didn’t lose ductility, but actually increased it simultaneously,” he says. “For many applications, a combination of strength and ductility is key. Our findings are original and exciting for materials science and engineering alike.”

“The ability to produce strong and ductile HEAs means that these 3D printed materials are more robust in resisting applied deformation, which is important for lightweight structural design for enhanced mechanical efficiency and energy saving,” says Jie Ren, Chen’s Ph.D. student and first author of the paper.

Zhu’s group at Georgia Tech led the computational modeling for the research. He developed dual-phase crystal plasticity computational models to understand the mechanistic roles played by both the FCC and BCC nanolamellae and how they work together to give the material added strength and ductility. 

“Our simulation results show the surprisingly high strength yet high hardening responses in the BCC nanolamellae, which are pivotal for achieving the outstanding strength-ductility synergy of our alloy. This mechanistic understanding provides an important basis for guiding the future development of 3D printed HEAs with exceptional mechanical properties,” Zhu says.

In addition, 3D printing offers a powerful tool to make geometrically complex and customized parts. In the future, harnessing 3D printing technology and the vast alloy design space of HEAs opens ample opportunities for the direct production of end-use components for biomedical and aerospace applications.

Additional research partners on the paper include Texas A&M University, the University of California Los Angeles, Rice University, and Oak Ridge and Lawrence Livermore national laboratories.

Story by Melinda Rose, Associate News Editor at UMass Amherst. 

Ting Zhu, Woodruff Professor in the George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology

Ting Zhu, Woodruff Professor in the George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology

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Georgia Tech Faculty and Students Win Awards, Present Research at Design Automation Conference

<p>Members of the Georgia Tech School of Electrical and Computer were well-represented at the 59<sup>th</sup> Design Automation Conference (DAC), a premier event devoted to the design and design automation of electronic chips and systems, was held in San Francisco on July 10-14. </p>

Members of the Georgia Tech School of Electrical and Computer were well-represented at the 59th Design Automation Conference (DAC), a premier event devoted to the design and design automation of electronic chips and systems, was held in San Francisco on July 10-14. 

The 59th Design Automation Conference (DAC), a premier event devoted to the design and design automation of electronic chips and systems, was held in San Francisco on July 10-14. The conference offers training, education, exhibits, and networking opportunities for designers, researchers, tool developers and vendors. It is sponsored by the Association for Computing Machinery (ACM) and the Institute of Electrical and Electronics Engineers (IEEE), and is supported by ACM's Special Interest Group on Design Automation (SIGDA) and IEEE's Council on Electronic Design Automation (CEDA).

In the span of five days, DAC provided over 300 technical presentations and sessions that were selected by a committee of electronic design and university research experts offering information on recent developments and trends, management practices and new products, methodologies, and technologies in the electronics industry.

“DAC brings together researchers across the computing stack — technology, circuits, design-automation and computer architecture — enabling a confluence of ideas and cross-stack research," said associate professor Tushar Krishna in the Georgia Tech School of Electrical and Computer Engineering. “It provides a multitude of opportunities for researchers, students, and industry experts to collaborate and influence tomorrow’s innovations, making it a highly exciting and effective conference.”

Faculty members and students in ECE were presented with multiple awards and participated in research talks and technical sessions. ECE’s DAC awards and contributions are listed below:

Awards:

  • Professor Sung Kyu Lim and his students Bon Woong Ku (currently at Synopsys) and Kyungwook Chang (currently at Sungkyunkwan University) received the 2022 Donald O. Pederson Best Paper Award for their paper “Compact-2D: A Physical Design Methodology to Build Two-Tier Gate-Level 3D ICs” published in IEEE TCAD.”
     
  • Ph.D. candidate Poulami Das (supervised by professor Moin Qureshi) won the “Best Research Award” during the Ph.D. Forum.
     
  • Ph.D. candidate Rishov Sarkar (supervised by assistant professor Callie Hao) won the third place in the “University Demo Best Demonstration.”
     
  • Ph.D. candidates Foroozan Karimzadeh (supervised by ECE chair Arijit Raychowdhury), Zishen Wan (supervised by Raychowdhury), and Anurag Kar (supervised by professor Hyesoon Kim in Tech’s School of Computer Science) were named 2022 DAC Young Fellows and presented on their respective research during the DAC Young Fellows Program workshop.

Engineering Talks, Tutorials, Workshops, Panels

  • Hao gave an invited talk entitled, “3U-EdgeAI: Ultra-Low Memory Training, Ultra-Low Bitwidth Quantization, and Ultra-Low Latency Acceleration” during the Fifth International Workshop on Design Automation for Cyber-Physical Systems (DACPS).”

    Hao, along with Hyoukun Kwon (a recent Ph.D. graduate supervised by Krishna and now at Meta), presented the tutorial “A Journey to SW/HW Co-design in Machine Learning: Fundamental, Advancement, and Application.” They presented twice on the same day due to tutorial’s popularity.

    Hao was also the co-organizer of the Early Career Workshop for junior faculty and senior Ph.D. students interested in academia.
     
  • Krishna presented an invited talk entitled, “Formalizing Design-space Exploration for Flexible AI Accelerators” during the Silicon Integration Initiative Low-Power Forum.”
     
  • Lim presented at the engineering track Machine Learning and EDA: The Productivity Cycle and organized the research panel “Heterogeneous 3D or Monolithic 3D, Which Direction to Go?”

Technical Sessions

  • Ananda Samajdar (recent Ph.D. graduate supervised by Krishna and now at IBM) presented his work “Self-Adaptive Reconfigurable Arrays (SARA): Learning Flexible GEMM Accelerator Configuration and Mapping-space using ML.” 
     
  • Ph.D. candidate Brian Crafton (supervised by Raychowdhury) presented his work “Improving Compute In-Memory ECC Reliability with Successive Correction”.
     
  • Hao presented her work “H2H: Heterogeneous Model to Heterogeneous System Mapping with Computation and Communication Awareness”.

Learn more about the Design Automation Conference

<p>L-R: Zishen Wan (Ph.D. candidate), Callie Hao (assistant professor), Rishov Sarkar (Ph.D. candidate), Poulami Das (Ph.D. candidate), and Anurag Kar (Ph.D. candidate) all won awards at DAC.</p>

L-R: Zishen Wan (Ph.D. candidate), Callie Hao (assistant professor), Rishov Sarkar (Ph.D. candidate), Poulami Das (Ph.D. candidate), and Anurag Kar (Ph.D. candidate) all won awards at DAC.

<p>Ph.D. candidate Rishov Sarkar (right) won third place in “University Demo Best Demonstration.” He is supervised by ECE assistant professor Callie Hao (left).</p>

Ph.D. candidate Rishov Sarkar (right) won third place in “University Demo Best Demonstration.” He is supervised by ECE assistant professor Callie Hao (left).

<p>ECE assistant professor Callie Hao presenting the popular tutorial “A Journey to SW/HW Co-design in Machine Learning: Fundamental, Advancement, and Application.” </p>

ECE assistant professor Callie Hao presenting the popular tutorial “A Journey to SW/HW Co-design in Machine Learning: Fundamental, Advancement, and Application.” 

<p>Professor Sung Kyu Lim (right) and his former student Bon Woong Ku (middle) <a href="https://ece.gatech.edu/news/658676/lim-and-team-win-2022-transactions-computer-aided-design-best-paper-award">receiving the 2022 Donald O. Pederson Best Paper Award</a> for their paper “Compact-2D: A Physical Design Methodology to Build Two-Tier Gate-Level 3D ICs” published in IEEE TCAD.” </p>

Professor Sung Kyu Lim (right) and his former student Bon Woong Ku (middle) receiving the 2022 Donald O. Pederson Best Paper Award for their paper “Compact-2D: A Physical Design Methodology to Build Two-Tier Gate-Level 3D ICs” published in IEEE TCAD.” 

<p>Ph.D. candidate Poulami Das <a href="https://www.ece.gatech.edu/news/659573/phd-research-poulami-das-wins-top-award-design-automation-conference">won the “Best Research Award”</a> during the Ph.D. Forum at DAC.</p>

Ph.D. candidate Poulami Das won the “Best Research Award” during the Ph.D. Forum at DAC.

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IEN Networking Lunch

Calling all researchers!

All Georgia Tech faculty and researchers are invited to join leaders from the Institute for Electronics and Nanotechnology (IEN) and their colleagues from across campus for an informal, no-host networking lunch. This is a great opportunity to learn more about IEN, its research areas, and potential partnership opportunities.

IEN Networking Lunch

Calling all researchers!

All Georgia Tech faculty and researchers are invited to join leaders from the Institute for Electronics and Nanotechnology (IEN) and their colleagues from across campus for informal, no-host networking lunches. These are a great opportunity to learn more about IEN, its research areas, and potential partnership opportunities.

IEN Networking Lunch

Calling all researchers!

All Georgia Tech faculty and researchers are invited to join leaders from the Institute for Electronics and Nanotechnology (IEN) and their colleagues from across campus for informal, no-host networking lunches. These are a great opportunity to learn more about IEN, its research areas, and potential partnership opportunities.

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How An Elephant’s Trunk Manipulates Air to Eat and Drink

Georgia Tech mechanical engineering Ph.D. student, Andrew Schulz, standing in front of an elephant.

New research from the Georgia Institute of Technology finds that elephants dilate their nostrils in order to create more space in their trunks, allowing them to store up to 5.5 liters of water. They can also suck up three liters per second — a speed 30 times faster than a human sneeze (150 meters per second/330 mph).

The Georgia Tech College of Engineering study sought to better understand the physics of how elephants use their trunks to move and manipulate air, water, food and other objects. They also sought to learn if the mechanics could inspire the creation of more efficient robots that use air motion to hold and move things.

While octopus use jets of water to move and archer fish shoot water above the surface to catch insects, the Georgia Tech researchers found that elephants are the only animals able to use suction on land and underwater.

The paper, “Suction feeding by elephants,” is published in the Journal of the Royal Society Interface.

“An elephant eats about 400 pounds of food a day, but very little is known about how they use their trunks to pick up lightweight food and water for 18 hours, every day,” said Georgia Tech mechanical engineering Ph.D. student Andrew Schulz, who led the study. “It turns out their trunks act like suitcases, capable of expanding when necessary.”

Schulz and the Georgia Tech team worked with veterinarians at Zoo Atlanta, studying elephants as they ate various foods. For large rutabaga cubes, for example, the animal grabbed and collected them. It sucked up smaller cubes and made a loud vacuuming sound, or the sound of a person slurping noodles, before transferring the vegetables to its mouth.

To learn more about suction, the researchers gave elephants a tortilla chip and measured the applied force. Sometimes the animal pressed down on the chip and breathed in, suspending the chip on the tip of trunk without breaking it. It was similar to a person inhaling a piece of paper onto their mouth. Other times the elephant applied suction from a distance, drawing the chip to the edge of its trunk.

“An elephant uses its trunk like a Swiss Army Knife,” said David Hu, Schulz’s advisor and a professor in Georgia Tech’s George W. Woodruff School of Mechanical Engineering. “It can detect scents and grab things. Other times it blows objects away like a leaf blower or sniffs them in like a vacuum.”

By watching elephants inhale liquid from an aquarium, the team was able to time the durations and measure volume. In just 1.5 seconds, the trunk sucked up 3.7 liters, the equivalent of 20 toilets flushing simultaneously.

An ultrasonic probe was used to take trunk wall measurements and see how the trunk’s inner muscles work. By contracting those muscles, the animal dilates its nostrils up to 30 percent. This decreases the thickness of the walls and expands nasal volume by 64 percent.

“At first it didn’t make sense: an elephant’s nasal passage is relatively small and it was inhaling more water than it should,” said Schulz. “It wasn’t until we saw the ultrasonographic images and watched the nostrils expand that we realized how they did it. Air makes the walls open, and the animal can store far more water than we originally estimated.”

Based on the pressures applied, Schulz and the team suggest that elephants inhale at speeds that are comparable to Japan’s 300-mph bullet trains.

Schulz said these unique characteristics have applications in soft robotics and conservation efforts.

“By investigating the mechanics and physics behind trunk muscle movements, we can apply the physical mechanisms — combinations of suction and grasping — to find new ways to build robots,” Schulz said. “In the meantime, the African elephant is now listed as endangered because of poaching and loss of habitat. Its trunk makes it a unique species to study. By learning more about them, we can learn how to better conserve elephants in the wild.”

The work was supported by the US Army Research Laboratory and the US Army Research Office 294 Mechanical Sciences Division, Complex Dynamics and Systems Program, under contract number 295 W911NF-12-R-0011. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the view of the sponsoring agency.

An elephant uses its trunk to grab apples underwater.
An elephant uses suction to pick up a tortilla chip.
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Spontaneous Formation of Nanoscale Hollow Structures Could Boost Battery Storage