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Efficient Methane C-H Bond Activated by KAIST and UPenn Teams
Professor Mu-Hyun Baik of the Chemistry Department at KAIST and his team collaborated with an international team to discover a novel chemical reaction, carbon-hydrogen borylation using methane, and their research results were published in the March 25th issue of Science.
For details, please refer to the following press release from the Institute for Basic Sciences (IBS) in Korea and the University of Pennsylvania in the United States.
Efficient Methane C-H Bond Activation Achieved for the First Time
The Institute for Basic Science, March 24, 2016
Penn Chemists Lay Groundwork for Countless New, Cleaner Uses of Methane
University of Pennsylvania, March 24, 2016
2016.03.25 View 8771 -
KAIST Team Develops Technology to Enable Unzipping of the Graphene Plane
Professor Sang-Wook Kim’s research team of the Material Science and Engineering Department has developed a technique, which enables unzipping of the graphene plane without uncontrollable damage. The research findings were published online on the January 22 issue of Nature Communications.
Graphene is a form of carbon in which its atoms form a honey-comb structure through chemical bonding. If this structure can be cut to a desired form, other carbon materials with nanostructure can be created. Many researchers have tried to obtain the accurate unzipping of graphene structures, but faced challenges doing so.
To break a very strong bond between carbon atoms, an equivalently strong chemical reaction must be induced. But the chemical reaction not only cuts out the desirable borders, but also damages the surrounding ones. Conventional techniques, which cut out graphene at once, damaged the chemical properties of the graphene structure after unzipping. This is similar to wearing out paper while manipulating it.
To solve this problem, the research team adopted “heteroatom doping.” The idea is similar to a sheet of paper being split following a groove drawn on the sheet. After making some regions of the structure unstable by doping other atoms such as nitrogen on a carbon plane, the regions are electrochemically stimulated to split the parts. Nitrogen or other atoms act as the groove on the grapheme plane.
The researchers finely controlled the amount of unzipping graphene by adjusting the amount of heteroatom dopants, from which they were able to create a quality nano graphene without any damage in its 2-dimensional crystalline structure. Using this technique, the researchers were able to obtain a capacitor with state-of-the-art energy transfer speed. The nano graphene can be combined with polymer, metal, and semiconductor nano molecules to form carbon composites.
Professor Kim said, “In order to commercialize this technique, heteroatom doping should be researched further. We plan to develop fabric-like carbon materials with excellent mechanical and electrical properties using this technique.”
Picture 1: Unzipped Carbon Nano Tube
Picture 2: Development of Nano Graphene from Carbon Nano Tube Using Heteroatom Dopants
Korean descriptions translated into English:
Unzipping Process of Graphene
Carbon Nano Tube → Nano Graphen
Heteroatom
This process is similar to a paper being split in two from a tiny hole punched therein.
2016.03.22 View 8172 -
Public Lectures on the Korean Language and Alphabet
The School of Humanities and Social Sciences at KAIST will offer public lectures on the Korean language and alphabet, Hangul, from March 22, 2016 to April 26, 2016.
The lectures, which are entitled “The Riddle of Hangul,” will take place on campus in Daejeon.
A total of six lectures will be held on such topics as the origin of Korean, the grammar of ancient Korean in the Chosun Dynasty (1392-1897), and subsequent developments in contemporary Korean.
Professor Jung-Hoon Kim, who is responsible for organizing the public lecture program, said, “The audience will have an interesting opportunity to understand the history of Korean and its mechanism, while reviewing the unique spelling system of Hangul. I hope many people will show up for these wonderful classes.”
For further information and registration, please visit: http://hss.kaist.ac.kr. All lectures, available only in Korean, are free and open to the public.
2016.03.15 View 7383 -
KAIST Offers Online Science Magnet High School Program
The Global Institute for Talented Education at KAIST has begun providing middle and high school students with in-depth online science education.
The institute receives applications until March 20, 2016. For details, please refer to the website: http://talented.kaist.ac.kr.
The program will run from March 21, 2016 to June 13, 2016.
Any middle and high school student can take courses on mathematics, science (physics, chemistry and biology), and information system (C language and Python computer language) based on their levels and needs. A total of 23 courses will be offered at the level of the first year of middle school to the second year of high school.
The online lecturers are drawn from science-magnet high schools nationwide. They will lead the classes to become more interactive with students, encouraging discussions and questions and answers.
KAIST students will also take part as tutors, helping the middle and high school students better understand the basic concept of the subjects they undertake and and to think creatively to solve problems.
About 500 top students will be chosen from the online course applicants to participate in a science camp hosted by KAIST during summer and winter vacations.
2016.03.14 View 4686 -
KAIST Identifies 27 Research Topics on Local Community
In tandem with the Korea Research Institute of Chemical Technology and Daejeon Civic Society Research Center, the Research Institute for Social Technology and Innovations at KAIST conducted a study on social challenges facing the local community and identified 27 research issues that could be solved with the help of science and technology.
The results of the study were released on March 10, 2016.
The research team prepared a report in an effort to encourage universities, research centers, and local citizens to cooperate in investigating social issues and finding their solutions.
The 27 issues were first chosen by pre-surveys and in-depth interviews with local citizens, and then discussed through public and expert workshops. Among the issues were environment, agriculture, energy, culture, public safety, family, and social integration. The team presented industrial complexes, agricultural facilities, and factories in rural areas were the most urgent issues of social concern within a city and province.
Hong-Gyu Lee, Director of the Research Institute for Social Technology and Innovations, said,
“The most serious problem that should be tackled in Daejon City is the chronic stench and garbage odor coming from industrial complexes, while environmental damages arisen from the development of new agricultural technology and factories are the major challenge in rural areas of Chungnam Province. This report is meaningful because citizens, universities, and research institutions worked together to find important issues related to the development of local community and explored solutions to solve those issues with the advancement of science and technology.”
2016.03.12 View 4801 -
Dr. Demis Hassabis, the Developer of AlphaGo, Lectures at KAIST
AlphaGo, a computer program developed by Google DeepMind in London to play the traditional Chinese board game Go, had five matches against Se-Dol Lee, a professional Go player in Korea from March 8-15, 2016. AlphaGo won four out of the five games, a significant test result showcasing the advancement achieved in the field of general-purpose artificial intelligence (GAI), according to the company.
Dr. Demis Hassabis, the Chief Executive Officer of Google DeepMind, visited KAIST on March 11, 2016 and gave an hour-long talk to students and faculty. In the lecture, which was entitled “Artificial Intelligence and the Future,” he introduced an overview of GAI and some of its applications in Atari video games and Go.
He said that the ultimate goal of GAI was to become a useful tool to help society solve some of the biggest and most pressing problems facing humanity, from climate change to disease diagnosis.
2016.03.11 View 4365 -
KAIST Ranks Third in the World's Top Universities for Attracting Industry Funding
The Times Higher Education released its World University Rankings online, naming the 20 best institutions that secured the largest amount of research funding from the private sector, on March 8, 2016.
The rankings were based on the 2013 record of industry-sector investments made per academic of an institution.
According to the list, KAIST ranked third with a figure of $254,700.
Germany’s Ludwig Maximilian University (Munich) took first place ($400,000), while the United State’s Duke University placed second ($290,000).
For a full list of the rankings, go to https://www.timeshighereducation.com/world-university-rankings/funding-for-innovation-ranking-2016.
2016.03.08 View 3615 -
Non-Natural Biomedical Polymers Produced from Microorganisms
KAIST researchers have developed metabolically engineered Escherichia coli strains to synthesize non-natural, biomedically important polymers including poly(lactate-co-glycolate) (PLGA), previously considered impossible to obtain from biobased materials.
Renewable non-food biomass could potentially replace petrochemical raw materials to produce energy sources, useful chemicals, or a vast array of petroleum-based end products such as plastics, lubricants, paints, fertilizers, and vitamin capsules. In recent years, biorefineries which transform non-edible biomass into fuel, heat, power, chemicals, and materials have received a great deal of attention as a sustainable alternative to decreasing the reliance on fossil fuels.
A research team headed by Distinguished Professor Sang Yup Lee of the Chemical and Biomolecular Engineering Department at KAIST has established a biorefinery system to create non-natural polymers from natural sources, allowing various plastics to be made in an environmentally-friendly and sustainable manner. The research results were published online in Nature Biotechnology on March 7, 2016. The print version will be issued in April 2016.
The research team adopted a systems metabolic engineering approach to develop a microorganism that can produce diverse non-natural, biomedically important polymers and succeeded in synthesizing poly(lactate-co-glycolate) (PLGA), a copolymer of two different polymer monomers, lactic and glycolic acid. PLGA is biodegradable, biocompatible, and non-toxic, and has been widely used in biomedical and therapeutic applications such as surgical sutures, prosthetic devices, drug delivery, and tissue engineering.
Inspired by the biosynthesis process for polyhydroxyalkanoates (PHAs), biologically-derived polyesters produced in nature by the bacterial fermentation of sugar or lipids, the research team designed a metabolic pathway for the biosynthesis of PLGA through microbial fermentation directly from carbohydrates in Escherichia coli (E. coli) strains.
The team had previously reported a recombinant E. coli producing PLGA by using the glyoxylate shunt pathway for the generation of glycolate from glucose, which was disclosed in their patents KR10-1575585-0000 (filing date of March 11, 2011), US08883463 and JP5820363. However, they discovered that the polymer content and glycolate fraction of PLGA could not be significantly enhanced via further engineering techniques. Thus, in this research, the team introduced a heterologous pathway to produce glycolate from xylose and succeeded in developing the recombinant E. coli producing PLGA and various novel copolymers much more efficiently.
In order to produce PLGA by microbial fermentation directly from carbohydrates, the team incorporated external and engineered enzymes as catalysts to co-polymerize PLGA while establishing a few additional metabolic pathways for the biosynthesis to produce a range of different non-natural polymers, some for the first time. This bio-based synthetic process for PLGA and other polymers could substitute for the existing complicated chemical production that involves the preparation and purification of precursors, chemical polymerization processes, and the elimination of metal catalysts.
Professor Lee and his team performed in silico genome-scale metabolic simulations of the E. coli cell to predict and analyze changes in the metabolic fluxes of cells which were caused by the introduction of external metabolic pathways. Based on these results, genes are manipulated to optimize metabolic fluxes by eliminating the genes responsible for byproducts formation and enhancing the expression levels of certain genes, thereby achieving the effective production of target polymers as well as stimulating cell growth.
The team utilized the structural basis of broad substrate specificity of the key synthesizing enzyme, PHA synthase, to incorporate various co-monomers with main and side chains of different lengths. These monomers were produced inside the cell by metabolic engineering, and then copolymerized to improve the material properties of PLGA. As a result, a variety of PLGA copolymers with different monomer compositions such as the US Food and Drug Administration (FDA)-approved monomers, 3-hydroxyburate, 4-hydroxyburate, and 6-hydroxyhexanoate, were produced. Newly applied bioplastics such as 5-hydroxyvalerate and 2-hydroxyisovalerate were also made.
The team employed a systems metabolic engineering application which, according to the researchers, is the first successful example of biological production of PGLA and several novel copolymers from renewable biomass by one-step direct fermentation of metabolically engineered E.coli.
Professor Lee said, “We presented important findings that non-natural polymers, such as PLGA which is commonly used for drug delivery or biomedical devices, were produced by a metabolically engineered gut bacterium. Our research is meaningful in that it proposes a platform strategy in metabolic engineering, which can be further utilized in the development of numerous non-natural, useful polymers.”
Director Ilsub Baek at the Platform Technology Division of the Ministry of Science, ICT and Future Planning of Korea, who oversees the Technology Development Program to Solve Climate Change, said, “Professor Lee has led one of our research projects, the Systems Metabolic Engineering for Biorefineries, which began as part of the Ministry’s Technology Development Program to Solve Climate Change. He and his team have continuously achieved promising results and been attracting greater interest from the global scientific community. As climate change technology grows more important, this research on the biological production of non-natural, high value polymers will have a great impact on science and industry.”
The title of the research paper is “One-step Fermentative Production of Poly(lactate-co-glycolate) from Carbohydrates in Escherichia coli (DOI: 10.1038/nbt.3485).” The lead authors are So Young Choi, a Ph.D. candidate in the Department of Chemical and Biomolecular Engineering at KAIST, and Si Jae Park, Assistant Professor of the Environmental Engineering and Energy Department at Myongji University. Won Jun Kim and Jung Eun Yang, both doctoral students in the Department of Chemical and Biomolecular Engineering at KAIST, also participated in the research.
This research was supported by the Technology Development Program to Solve Climate Change’s research project titled “Systems Metabolic Engineering for Biorefineries” from the Ministry of Science, ICT and Future Planning through the National Research Foundation of Korea (NRF-2012M1A2A2026556).
Figure: Production of PLGA and Other Non-Natural Copolymers
This schematic diagram shows the overall conceptualization of how metabolically engineered E. coli produced a variety of PLGAs with different monomer compositions, proposing the chemosynthetic process of non-natural polymers from biomass. The non-natural polymer PLGA and its other copolymers, which were produced by engineered bacteria developed by taking a systems metabolic engineering approach, accumulate in granule forms within a cell.
2016.03.08 View 10854 -
K-Glass 3 Offers Users a Keyboard to Type Text
KAIST researchers upgraded their smart glasses with a low-power multicore processor to employ stereo vision and deep-learning algorithms, making the user interface and experience more intuitive and convenient.
K-Glass, smart glasses reinforced with augmented reality (AR) that were first developed by KAIST in 2014, with the second version released in 2015, is back with an even stronger model. The latest version, which KAIST researchers are calling K-Glass 3, allows users to text a message or type in key words for Internet surfing by offering a virtual keyboard for text and even one for a piano.
Currently, most wearable head-mounted displays (HMDs) suffer from a lack of rich user interfaces, short battery lives, and heavy weight. Some HMDs, such as Google Glass, use a touch panel and voice commands as an interface, but they are considered merely an extension of smartphones and are not optimized for wearable smart glasses. Recently, gaze recognition was proposed for HMDs including K-Glass 2, but gaze cannot be realized as a natural user interface (UI) and experience (UX) due to its limited interactivity and lengthy gaze-calibration time, which can be up to several minutes.
As a solution, Professor Hoi-Jun Yoo and his team from the Electrical Engineering Department recently developed K-Glass 3 with a low-power natural UI and UX processor. This processor is composed of a pre-processing core to implement stereo vision, seven deep-learning cores to accelerate real-time scene recognition within 33 milliseconds, and one rendering engine for the display.
The stereo-vision camera, located on the front of K-Glass 3, works in a manner similar to three dimension (3D) sensing in human vision. The camera’s two lenses, displayed horizontally from one another just like depth perception produced by left and right eyes, take pictures of the same objects or scenes and combine these two different images to extract spatial depth information, which is necessary to reconstruct 3D environments. The camera’s vision algorithm has an energy efficiency of 20 milliwatts on average, allowing it to operate in the Glass more than 24 hours without interruption.
The research team adopted deep-learning-multi core technology dedicated for mobile devices. This technology has greatly improved the Glass’s recognition accuracy with images and speech, while shortening the time needed to process and analyze data. In addition, the Glass’s multi-core processor is advanced enough to become idle when it detects no motion from users. Instead, it executes complex deep-learning algorithms with a minimal power to achieve high performance.
Professor Yoo said, “We have succeeded in fabricating a low-power multi-core processer that consumes only 126 milliwatts of power with a high efficiency rate. It is essential to develop a smaller, lighter, and low-power processor if we want to incorporate the widespread use of smart glasses and wearable devices into everyday life. K-Glass 3’s more intuitive UI and convenient UX permit users to enjoy enhanced AR experiences such as a keyboard or a better, more responsive mouse.”
Along with the research team, UX Factory, a Korean UI and UX developer, participated in the K-Glass 3 project.
These research results entitled “A 126.1mW Real-Time Natural UI/UX Processor with Embedded Deep-Learning Core for Low-Power Smart Glasses” (lead author: Seong-Wook Park, a doctoral student in the Electrical Engineering Department, KAIST) were presented at the 2016 IEEE (Institute of Electrical and Electronics Engineers) International Solid-State Circuits Conference (ISSCC) that took place January 31-February 4, 2016 in San Francisco, California.
YouTube Link: https://youtu.be/If_anx5NerQ
Figure 1: K-Glass 3
K-Glass 3 is equipped with a stereo camera, dual microphones, a WiFi module, and eight batteries to offer higher recognition accuracy and enhanced augmented reality experiences than previous models.
Figure 2: Architecture of the Low-Power Multi-Core Processor
K-Glass 3’s processor is designed to include several cores for pre-processing, deep-learning, and graphic rendering.
Figure 3: Virtual Text and Piano Keyboard
K-Glass 3 can detect hands and recognize their movements to provide users with such augmented reality applications as a virtual text or piano keyboard.
2016.02.26 View 11903 -
KAIST Commencement 2016
KAIST hosted its 2016 commencement ceremony on February 19, 2016 at the Sports Complex on campus.
KAIST celebrated the event with five thousand participants including graduating students, faculty, guests, Vice Minister Nam-Ki Hong of Science, ICT and Future Planning of Korea, Chairman Jang-Moo Lee of KAIST's Board of Trustees, and President Jeong-Sik Ko of the KAIST Alumni Association.
President Patrick Aebischer of the Swiss Federal Institute of Technology in Lausanne (EPFL), Switzerland, and the former Speaker of the National Assembly of Korea Chang-Hee Kang received honorary doctorates in science and technology for their contributions to the advancement of science and engineering in education and research.
KAIST granted 570 doctoral degrees, 1,329 master’s degrees, and 867 bachelor degrees on this day.
Yoon-Bum Lee of the Chemistry Department graduated with honors; Woo-Young Jin of the Mathematical Sciences Department received the Chairman’s Award of the KAIST Board and Eun-Hee Yoo of the Biological Sciences Department for the KAIST Presidential Award. Min-Hyun Cho and Yoon-Seok Chang were recipients of the President’s Award of the KAIST Alumni Association and the President’s Award of the University Supporting Association, respectively.
President Steve Kang addressed the ceremony and congratulated the graduates, saying,
“Now, your task is to make significant contributions to your communities: be leaders in your fields and remain active members of society. Given your academic knowledge and vision for the future, I encourage you to dream big.”
2016.02.23 View 40811 -
KAIST Graduate Han Receives a 2016 PECASE Award
President Barack Obama of the United States (US) announced 105 recipients of the 2016 Presidential Early Career Awards for Scientists and Engineers (PECASE) on February 18. Among the awardees was a graduate from the Department of Electrical Engineering at KAIST.
Dr. Jin-Woo Han has worked as a research scientist at the National Aeronautics and Space Administration (NASA) Ames Research Center since graduating from KAIST in 2010. This year, he is the only awardee who received a doctoral degree from a Korean university to become a recipient of the highest honor bestowed by the US government on science and engineering professionals in the early stages of their independent research careers.
The awards ceremony will take place in early spring at the White House in Washington, D.C.
Dr. Han has been involved in the development of radiation tolerant semiconductor devices as well as radiation and gas sensors under Dr. Meyya Meyyappan, Chief Scientist of the Center for Nanotechnology at NASA Ames Research Center.
KAIST and the NASA Ames Research Center made a research collaboration agreement in 2008, under which KAIST has sent 12 post-doctoral fellows to the center to date.
The PECASE awards, established in 1996 by President Bill Clinton, are coordinated by the Office of Science and Technology Policy within the Executive Office of the US President. Awardees are selected for their pursuit of innovative research at the frontiers of science and technology and their commitment to community services as demonstrated through scientific leadership, public education, or community outreach.
2016.02.23 View 8868 -
Workshop on Techniques in Prediction Analysis for the Industry
There has been growing interest in the value and the application of “big data” in recent years. To meet this interest, a workshop was held to discuss the possibility and the future of prediction analysis, which is the next big step in data mining after big data.
On February 25 in COEX, Seoul, the Department of Knowledge Service Engineering at KAIST held the 4th knowledge service workshop on “Techniques in Prediction Analysis for the Industry.”
Predication analysis is a technique that can predict the future based on the understanding of the past and the present through analyzing “big data.” If “big data” is fuel in figurative sense, the prediction analysis serves as the engine.
The Department seeks to help those companies interested in data mining by introducing fundamentals and some application examples to the executives of companies who are interested in implementation of the technique.
The lecture was delivered by six professors from the Department of Knowledge Service Engineering and the Department of Industrial and Systems Engineering at KAIST.
Thomas Miller, the author of Modeling Techniques in Predictive Analytics, covered the contents of his book at the event. Professor Moon-Yong Yi, Chair of the Department of Knowledge Service Engineering, said, “This conference will be important to companies that are considering the implementation of the prediction analysis as well as to students who are interested in the field.”
2016.02.22 View 4601