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Saturday, July 29, 2023

ML Model to Predict Earthquakes and Pandemics Developed

 

 

About Topic In Short:



Who:

Brown University and Massachusetts Institute of Technology (MIT), led by Ethan Pickering and Themistoklis Sapsis from MIT.

What:

The research introduces an advanced machine learning model called DeepOnet, combined with active learning techniques, to predict rare disastrous events like earthquakes, pandemics, and rogue waves, even with limited historical data.

How:

By leveraging statistical algorithms and active learning, the model learns from available data and seeks new relevant data points, reducing the need for massive data sets. DeepOnet, a deep neural operator, processes data in two parallel networks, enabling efficient analysis of vast datasets.

  

In a groundbreaking research paper recently published in the prestigious journal Nature Computational Science, distinguished scholars from Brown University and the Massachusetts Institute of Technology (MIT) have unveiled an astonishing machine learning marvel capable of prophesying extraordinary cataclysmic occurrences, encompassing earthquakes, pandemics, and enigmatic rogue waves. The fundamental quandary that ensnares these experts in their prophetic pursuits pertains to the scarcity of data, impeding traditional computational models from deftly predicting the precise timing of these rare events. However, this ingenious consortium of researchers has ingeniously surmounted this formidable obstacle by formulating an advanced machine learning system that deftly navigates the complexities of these exceptional phenomena.

 

Embracing the Enigmatic Nature of Rare Phenomena

Professor George Karniadakis, a luminary in applied mathematics and engineering at Brown University, passionately illuminates the stochastic essence that pervades these rare events, rendering them imbued with probabilities and an inherent elusiveness. The paucity of historical data further restricts the availability of copious information requisite for constructing predictive models with prodigious databases. Nonetheless, unyielding in their scientific pursuit, the researchers are fervently committed to exploring innovative avenues that prove effective in the face of data scarcity.

 

An Ingenious Synergy: Marrying Statistical Algorithms and Dynamic Learning

With unyielding determination, the scholarly cadre deftly combines the prowess of statistical algorithms with an ingenious sequential sampling technique christened active learning. By harnessing statistical algorithms that demand lesser data to devise precise forecasts, and imbuing the model with active learning capabilities, they empower the system to glean knowledge from available data and actively scour for novel data points crucial for discerning the desired outcomes. This adept fusion endows the model with unparalleled predictive prowess, even with a discernibly reduced corpus of data, an invaluable asset when unraveling the enigma of rare events.

 

Delving into the Ingenious DeepOnet: A Profound Neural Operator

The cornerstone of their groundbreaking study, the remarkable machine learning model christened DeepOnet, stands as a profound neural operator of unparalleled magnitude. Its architecture boasts two parallel networks that adroitly handle copious datasets and myriad scenarios at unprecedented velocities, ultimately yielding an extensive array of probabilities once it comprehends the intricacies it seeks. Yet, with such profound capabilities comes a perplexing conundrum - the reliance on an extensive training dataset poses an imposing challenge when navigating the realm of rare occurrences.

 

Empowering DeepOnet: The Crucial Role of Active Learning in Training

Harnessing the potential of active learning, the researchers adroitly imbue the DeepOnet model with an unparalleled ability to discern the key parameters and precursors indicative of rare events. Unfazed by a dearth of historical data, the model adeptly identifies and assimilates these vital factors, subsequently enabling astute prognostications regarding future calamitous events. The team of scholars adroitly applies this approach across diverse scenarios - from predicting perilous spikes during pandemics to unraveling and quantifying enigmatic rogue waves, and even estimating when a ship may fissure under duress.

 

Envisioning the Prospects of Rare Event Prognostication

Intriguingly, the study showcases that this ingenious amalgamation of advanced machine learning and active learning techniques markedly outperforms traditional modeling endeavors. The resulting framework forges a promising trailblazing trajectory, proficiently unraveling and predicting an assorted array of rare events. With promising possibilities lying ahead, the potential for accurately forecasting a wide spectrum of extraordinary events, including climatic cataclysms akin to hurricanes, lies within their grasp.

 

Thus Speak Authors/Experts:

The lead authors, Ethan Pickering and Themistoklis Sapsis from MIT, passionately echo their profound enthusiasm for the groundbreaking research they have collectively orchestrated. Professor George Karniadakis further underscores that their quest is not merely to incorporate every conceivable data point into the system, but rather to adroitly anticipate pivotal events and discern their precursors proactively. In this shrewd manner, they adeptly train the data-hungry DeepOnet model, even in the face of limited real-life event instances.

 

Conclusion:

In conclusion, the collaborative efforts of the esteemed scholars from Brown University and MIT have borne fruition, culminating in the creation of an extraordinary machine learning model proficient in the prediction of rare cataclysmic events, defying the constraints of historical data scarcity. By ingeniously merging statistical algorithms with dynamic active learning and harnessing the profundity of the DeepOnet neural operator, the researchers have paved an illustrious path towards more precise prognostication of exceptional phenomena such as earthquakes, pandemics, and rogue waves. This prodigious framework heralds the promise of bolstering disaster preparedness and galvanizing forecasting capabilities, ushering in a new era of unparalleled scientific inquiry.

 

 

Image Gallery

 

ML Model to Predict Earthquakes and Pandemics Developed



Wave condition


All Images Credit: from References/Resources sites [Internet]

 

Hashtag/Keyword/Labels list:

#MachineLearning #DisasterPrediction #RareEvents #DeepOnet #ActiveLearning #MIT #BrownUniversity

 

References/Resources list:

1.       Brown University: https://www.brown.edu/news/2022-12-19/extreme-events

2.       MIT: https://www.mit.edu/

3.       DeepOnet: https://www.brown.edu/research/projects/deeponet/

 

 

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Friday, July 28, 2023

Living Smartwatch Powered by Slime Mold: A Paradigm Shift in Human-Computer Interaction

  

About Topic In Short:



Who:

University of Chicago. Authors: Jasmine Lu and Pedro Lopes.

What:

Living smartwatch powered by slime mold, creating a mutually beneficial partnership with users, changing the disposability of technology.

How:

Watch powered by slime mold requires feeding and care, activating the heart rate monitor function when the slime mold forms an electrical circuit.

 

In a momentous and trailblazing expedition of scientific inquiry, the esteemed researchers from the University of Chicago have fashioned a vibrant smartwatch energized by the enigmatic vitality of slime mold. This living timepiece thrives solely when the affixed slime mold organism pulses with life, forging an unprecedented and mutually beneficial alliance between the user and the animated technology.

 

The Birth of an Animated Creation

 

The ingenious watch came into existence through the masterful craftsmanship of University of Chicago scholars Jasmine Lu and Pedro Lopes. Harnessing the electrifying prowess of the single-cell organism known as "slime mold," specifically the renowned species Physarum polycephalum, whose illustrious attributes include its rapid growth, resilience, and astonishing prowess in navigating mazes. This remarkable organism, often colloquially referred to as "the blob," took residence within the watch's secure enclosure.

 

To activate the heart rate monitoring feature of the ingenious smartwatch, the user diligently nurtures the slime mold, providing it a nourishing blend of water and oats, igniting its growth. As the slime mold gracefully traverses the enclosure, an intricate electrical circuit takes shape, animating the heart rate monitor. Intriguingly, should the slime mold be deprived of sustenance, it can gracefully enter a dormant state, slumbering for days, months, or even years, awaiting reawakening.

 

The Profound Significance of the Living Artifact

 

The researchers embarked on an ambitious quest to fathom the profound impact of this living smartwatch on the user's perception of technology, infusing the traditional unidirectional relationship with interactive and compassionate dimensions. The aspiration rested in nurturing a profound sense of attachment and responsibility towards this marvel, challenging the prevalent inclination to treat technology as disposable commodities.

 

Unraveling Insights from the Experiment

 

Lu and Lopes orchestrated a captivating study, involving a cohort of five participants adorning the living smartwatch for an immersive two-week sojourn. During the initial week, the participants attended dutifully to the well-being of the slime mold until the heart rate monitoring function came alive. Subsequently, in the second week, the researchers issued a directive to suspend the organism's sustenance, witnessing the subsequent drying out and the ensuing disruption of the heart rate functionality. Throughout the captivating odyssey, participants diligently recorded their perceptions and experiences with the living device, alongside engaging in revelatory interview sessions.

 

The Emboldening Bonds of Emotion

 

The riveting study unveiled an extraordinary degree of emotional attachment among the participants towards the animated smartwatch. Certain users christened it as a cherished pet, forming deep emotional ties with the slime mold. This emotional connection stood resplendently more profound than conventional interactions with virtual pets like Tamagotchis or The Sims, for whom casual resets and replacements abound.

 

In a spellbinding twist, participants experienced a tumultuous maelstrom of guilt and grief when instructed to neglect the organism during the study's second week. The unsuspected torrent of emotions underscored a seismic shift in their perception of this marvel of technology, illuminating the uncharted realms of forging profound bonds with living artifacts.

 

Emanations from Authors and Experts

 

In the elucidations of Jasmine Lu, the dauntless computer scientist and erudite fourth-year graduate student in Asst. Prof. Pedro Lopes' esteemed Human-Computer Integration Lab, the living smartwatch kindled a captivatingly two-way bond between the user and the device. This bi-directional tethering instilled a sense of attachment and responsibility, transcending the customary view of wearable devices as mere tools with perfunctory purposes.

 

Pedro Lopes, the indomitable custodian of the Human-Computer Integration Lab, passionately underscored the import of integrating friction into the arena of human-computer interaction research. In heartfelt acclamation, he heralded the living smartwatch not only as an extraordinary scientific venture but also a sublime work of art that challenges the superficial consumerist mindset, inspiring users to tend to their devices with affection instead of discarding them like relics of yore.

 

Pondering the Panorama of Technological Design

 

Lu wistfully ponders the wellspring of inspiration that this research might kindle in the realm of technological innovation, heralding a wave of designs that stimulate attachment and engender mutual benefits, thereby subduing the phantom of disposability that plagues contemporary devices. By infusing a nurturing spirit into the user-device relationship, designers can chart a path towards a harmonious and sustainable technological ecosystem, mitigating electronic waste, and fostering an emotional camaraderie with technology.

 

Conclusion:

 

The birth of a living smartwatch, animated by the enigmatic life force of slime mold, has unfurled unprecedented vistas in the realm of human-computer interaction. This audacious and pioneering approach shatters the tenets of technology's transience and beckons users to cherish a more responsible and caring bond with their devices. In this remarkable quest, the virtuoso researchers from the University of Chicago have not only unveiled the latent potential of living technology but have also kindled a revolution towards enduringly connected and emotionally resonant technological design.

 

 

Image Gallery

 

slime-mold-smart-watch


All Images Credit: from References/Resources sites [Internet]

slime-watch-video, Video courtesy of HCintegration

Hashtag/Keyword/Labels list:

#LivingSmartwatch #SlimeMoldPower #HumanComputerInteraction #EmotionalAttachment #SustainableTechnology #BiDirectionalRelationship

 

References/Resources list:

1.       https://news.uchicago.edu/story/scientists-create-living-smartwatch-powered-slime-mold

2.       https://www.pressreader.com/india/electronics-for-you-express/20230203/282746295916072

 

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…till next post, bye-bye and take-care.

Thursday, July 27, 2023

A Cutting-Edge Breakthrough: Unprecedented Nanoelectronics Platform Using Graphene-Based Nano Chips

  

About Topic In Short:



Who:

Georgia Institute of Technology, Authors: Walter de Heer and his collaborators.

What:

Development of a new nanoelectronics platform based on graphene, a single sheet of carbon atoms.

How:

A modified form of epigraphene (graphene layer) was created on a silicon carbide crystal substrate. Electronics-grade silicon carbide chips were produced, and graphene nanostructures were grown on them. Electron beam lithography was used to carve the graphene nanostructures and weld their edges to the chips.

 

 

In the ever-changing realm of nanoelectronics, the pursuit of a silicon substitute has been ongoing. For decades, graphene has held immense promise due to its exceptional properties. However, challenges in processing techniques and the lack of an appropriate electronics paradigm hindered its full potential. An exceptional breakthrough occurred at the prestigious Georgia Institute of Technology, led by the esteemed Professor Walter de Heer and his team. They have successfully pioneered a groundbreaking nanoelectronics platform, centered on graphene—a single sheet of carbon atoms—capable of surpassing silicon and ushering in a new era of computing advancements.

 

Creation of Extraordinary Nano Chips:

The core of this research lies in the formation of exceptional nano chips, crafted using silicon carbide chips. Collaborating with the Tianjin International Center for Nanoparticles and Nanosystems, the team fabricated electronics-grade silicon carbide crystals. On these silicon carbide substrates, they cultivated a modified version of epigraphene—a graphene layer. The patented furnaces utilized in de Heer's laboratory at Georgia Tech facilitated the growth of specialized silicon carbide chips coated with graphene nanostructures.

 

Employing electron beam lithography—a prevalent microelectronic technique—the researchers meticulously carved the graphene nanostructures and fused their edges to the silicon carbide chips. This meticulous process mechanically stabilizes and seals the graphene's edges, preventing any undesirable interactions with gases such as oxygen, which could potentially impede charge motion. The outcome was an immaculate fusion of graphene nanostructures with silicon carbide chips, forming the bedrock of the innovative nanoelectronics platform.

 

Revolutionary Properties of Graphene:

Published in Nature Communications, the research unveiled unparalleled properties of graphene, making it the perfect contender for nanoelectronics. With its flat, two-dimensional structure, held together by the mightiest chemical bonds known, graphene allows for extraordinary miniaturization—a feat unattainable by silicon. This breakthrough permits the development of smaller, faster, and more energy-efficient devices, significantly reducing heat generation. In essence, a solitary graphene chip could potentially house a multitude of devices compared to its silicon counterpart.

 

A remarkable discovery surfaced during the team's research—electric charges in the graphene edge state could travel vast distances, tens of thousands of nanometers along the edge before scattering. This impressive advancement surpassed the limitations of previous technologies, where graphene electrons could only travel about 10 nanometers before encountering imperfections and dispersing in different directions. Additionally, an unforeseen revelation emerged—the presence of a highly unusual quasiparticle that carries electric currents effortlessly, without any charge or energy, moving with no resistance. This groundbreaking discovery holds immense implications for quantum and high-performance computing, pointing to the possible existence of the elusive Majorana fermion, theorized by the renowned Italian physicist Ettore Majorana in 1937.

 

Insights from the Experts:

Professor Walter de Heer passionately stressed the significance of graphene's unique properties, enabling electronics that exploit the light-like attributes of graphene electrons—a pivotal factor propelling unparalleled advancements in computing technology. Furthermore, the seamless compatibility of the graphene-based nanoelectronics platform with conventional microelectronics manufacturing is a critical factor in its potential success as silicon's worthy successor.

 

Conclusion:

The development of a graphene-based Nano electronics platform signifies a significant leap towards surmounting silicon's limitations in computing. By ingeniously integrating silicon carbide chips with graphene nanostructures, researchers have taken a decisive step towards creating extraordinary nano chips, with the potential to revolutionize computing technology. The discovery of the enigmatic quasiparticle and the remarkable ability of electric charges to traverse vast distances along graphene edges present a bright future for quantum computing and high-performance applications. While practical graphene-based electronics may still take five to ten years to materialize, the team's tireless efforts have brought us closer than ever to envisioning graphene as the undisputed heir to silicon. 

 

Image Gallery

 

at-the-edge-of-graphen

The researchers' graphene device grown on a silicon carbide substrate chip. Credit: Jess Hunt-Ralston / Georgia Institute of Technology

at-the-edge-of-graphen-1

Patented induction furnaces at Georgia Tech used to produce graphene on silicon carbide. Credit: Jess Hunt-Ralston / Georgia Institute of Technology

at-the-edge-of-graphen-2

Art depicting the graphene network (black atoms) on top of silicon carbide (yellow and white atoms). The gold pads represent electrostatic gates, and the blue and red balls represent electrons and holes, respectively. Credit: Noel Dudeck / Georgia Institute of Technology

at-the-edge-of-graphen-3

Walter de Heer and Claire Berger holding an atomic model of graphene (black atoms) on crystalline silicon carbide (yellow atoms) in the Epitaxial Graphene Lab at Georgia Tech. Credit: Jess Hunt-Ralston / Georgia Institute of Technology

All Images Credit: from References/Resources sites [Internet]

 

Hashtags/Keywords/Labels:

#Graphene #Nanoelectronics #SiliconCarbide #QuantumComputing #HighPerformanceComputing #EpitaxialGraphene

 

References/Resources:

1.       https://www.pressreader.com/india/electronics-for-you-express/20230203/282793540556328

2.       https://www.electronicsforu.com/news/whats-new/graphene-to-be-the-future-of-electronics

3.       https://phys.org/news/2022-12-team-graphene-based-nanoelectronics-platform.html

 

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…till next post, bye-bye and take-care.

Wednesday, July 26, 2023

Fusion Ignition Milestone Achieved: Generating Clean Energy Exceeding Input Energy

 

About Topic In Short:



Who:

Lawrence Livermore National Laboratory (LLNL). Authors Name: U.S. Department of Energy (DOE) and DOE’s National Nuclear Security Administration (NNSA)

What:

Fusion ignition achieved at Lawrence Livermore National Laboratory, a major scientific breakthrough in controlled fusion energy.

How:

The fusion ignition process involved delivering 2.05 MJ of energy to the target using 192 laser beams at LLNL's National Ignition Facility (NIF). The energy was converted into X-rays, compressing a fuel capsule until implosion and releasing fusion energy.

 

 

The momentous discovery titled "Fusion Ignition Milestone Achieved: Generating Clean Energy Exceeding Input Energy" was recently made by the Lawrence Livermore National Laboratory (LLNL) on December 5, 2022. LLNL's National Ignition Facility (NIF) team conducted a groundbreaking fusion experiment, marking scientific energy breakeven attainment. This achievement, realized after a century of theoretical understanding, unveils new possibilities for sustainable energy. The experiment showcased that more energy could be generated from fusion than the energy used to initiate the reaction, promising significant impacts on national defense and achieving a net-zero carbon economy.

 

Understanding the Fusion Ignition Process

Fusion is a process that combines two light nuclei to form a single heavier nucleus, resulting in a substantial release of energy. The NIF's fusion ignition process involves several steps to create high-temperature, high-pressure plasma:

 

1. The NIF's target chamber received over 2 million joules of ultraviolet energy from 192 laser beams, focused on a tiny fuel pellet.

2. The energy underwent conversion into X-rays within a hohlraum, housing the fuel capsule.

3. The X-rays then compressed the fuel capsule until implosion, recreating extreme conditions similar to those in stars, giant planets, and nuclear weapon explosions.

4. The fuel capsule's implosion led to light nuclei fusion and the subsequent release of fusion energy.

 

Key Players and Collaborators

This breakthrough resulted from the joint efforts of LLNL employees and numerous domestic and international institutions. Key players include:

 

- The U.S. Department of Energy (DOE): Providing vital support and funding for LLNL's NIF research and development.

- DOE's National Nuclear Security Administration (NNSA): Collaborating with LLNL to achieve scientific energy breakeven and enhance the nation's stockpile stewardship program.

- DOE's Los Alamos National Laboratory, Sandia National Laboratories, and Nevada National Security Site: Playing pivotal roles in the research.

- General Atomics: A crucial collaborator in the Inertial Confinement Fusion (ICF) program.

- Academic Institutions: Institutions such as the University of Rochester’s Laboratory for Laser Energetics, the Massachusetts Institute of Technology, the University of California, Berkeley, and Princeton University, were instrumental in the achievement.

- International Partners: The United Kingdom’s Atomic Weapons Establishment and the French Alternative Energies and Atomic Energy Commission also made significant contributions.

 

Implications for Clean Energy and National Defense

This successful fusion ignition experiment holds immense promise for clean and sustainable energy. By exceeding the energy input and producing a net gain in fusion energy, the research paves the way for future fusion energy commercialization. However, further advancements are required to achieve simple, affordable Inertial Fusion Energy (IFE) for widespread use.

 

Moreover, this breakthrough has significant implications for national defense. Harnessing fusion energy enhances the safety and reliability of the nation's nuclear stockpile. It also opens up new scientific avenues and accelerates progress in fusion energy technology.

 

Thus Speak Authors/Experts

Various authorities expressed admiration for the achievement of fusion ignition:

 

- U.S. Secretary of Energy Jennifer M. Granholm: Commended the NIF researchers and staff and reaffirmed the Biden-Harris Administration's support for world-class scientists.

- Dr. Arati Prabhakar: The President's chief adviser for Science and Technology and director of the White House Office of Science and Technology Policy, acknowledged the importance of perseverance in scientific breakthroughs.

- NNSA Administrator Jill Hruby: Expressed gratitude to Congress for supporting the National Ignition Facility and highlighted the significance of collaboration in achieving this milestone.

- LLNL Director Dr. Kim Budil: Recognized the dedication of researchers and their continuous pursuit of the vision over 60 years, emphasizing the role of national laboratories in solving complex problems.

- U.S. Senate Majority Leader Charles Schumer: Applauded the achievement as a major step towards a future powered by clean fusion energy and pledged support for further research.

- U.S. Senator Alex Padilla: Congratulated LLNL scientists and expressed pride in California's leadership in developing clean energy technologies.

- U.S. Representative Zoe Lofgren: Emphasized the need for funding and implementation of fusion research to explore new pathways for clean and limitless energy.

- U.S. Representative Eric Swalwell: Expressed excitement for the potential of fusion energy in providing clean and sustainable energy for the future.

 

Conclusion

The achievement of fusion ignition at LLNL's NIF marks a groundbreaking scientific milestone. Surpassing the energy breakeven point has laid the foundation for a clean and sustainable energy future. Collaboration among domestic and international partners played a crucial role in this accomplishment. The successful fusion ignition not only promises clean energy but also impacts national defense and scientific progress. As the world strives for a net-zero carbon economy, this breakthrough represents a significant stride toward a cleaner and more sustainable future. 

 

Image Gallery

 

targetChamber

The target chamber of LLNL’s National Ignition Facility, where 192 laser beams delivered more than 2 million joules of ultraviolet energy to a tiny fuel pellet to create fusion ignition on Dec. 5, 2022.

hohlraum_0

The hohlraum that houses the type of cryogenic target used to achieve ignition on Dec. 5, 2022, at LLNL’s National Ignition Facility.

 

X-rays

To create fusion ignition, the National Ignition Facility’s laser energy is converted into X-rays inside the hohlraum, which then compress a fuel capsule until it implodes, creating a high temperature, high pressure plasma.

All Images Credit: from References/Resources sites [Internet]

 

Hashtag/Keyword/Labels:

#FusionIgnition #CleanPower #NationalDefense #NetZeroCarbon #FusionEnergy #ScientificBreakthrough #NNSA #DOE #LLNL

 

References/Resources:

1.       https://www.sciencemediacentre.org/expert-reaction-to-fusion-announcement-from-the-lawrence-livermore-national-laboratory/

2.       https://www.llnl.gov/news/lawrence-livermore-national-laboratory-achieves-fusion-ignition

3.       https://www.thehindu.com/sci-tech/science/understanding-the-fusion-energy-breakthrough-announced-by-the-us/article66264381.ece

4.       National Ignition Facility (NIF): https://lasers.llnl.gov/

5.       U.S. Department of Energy (DOE): https://www.energy.gov/

6.       DOE's National Nuclear Security Administration (NNSA): https://www.energy.gov/nnsa/national-nuclear-security-administration-nnsa

 

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…till next post, bye-bye and take-care.