Nanotechnology in Nuclear Reactors: Innovations in Fusion and Fission Power Generation

This article explores the transformative potential of nanotechnology and MMs(memory metals)in enhancing the design and operation of nuclear reactors,encompassing both fission and fusion technologies.Nanotechnology,with its ability to engineer materials at the atomic scale,offers significant improvements in reactor safety,efficiency,and longevity.In fission reactors,nanomaterials enhance fuel rod integrity,optimize thermal management,and improve in-core instrumentation.Fusion reactors benefit from nanostructured materials that bolster containment and heat dissipation,addressing critical challenges in sustaining fusion reactions.The integration of SMAs(shape memory alloys),or MMs,further amplifies these advancements.These materials,characterized by their ability to revert to a pre-defined shape under thermal conditions,provide self-healing capabilities,adaptive structural components,and enhanced magnetic confinement.The synergy between nanotechnology and MMs represents a paradigm shift in nuclear reactor technology,promising a future of cleaner,more efficient,and safer nuclear energy production.This innovative approach positions the nuclear industry to meet the growing global energy demand while addressing environmental and safety concerns.

Shaping the Future of Energy:A Path toward Zero-Emission and Sustainable Solutions

In the age of rapidly growing global population and escalating energy demands,the pursuit of sustainable,zero-emission energy sources has become critical.This article explores the interplay between environmental concerns,such as global warming and the greenhouse effect,and the need for innovative energy solutions.The melting polar ice caps exemplify the urgent need for reducing carbon emissions.ARCs(advanced reactor concepts)in both fission and fusion technologies offer promising paths to zero-emission energy.Advanced fission reactors,including SMRs(small modular reactors)and Generation IV reactors,provide improved safety,efficiency,and waste management.Fusion energy,despite being in the experimental stage,holds potential as a nearly limitless clean energy source.AI(artificial intelligence)significantly enhances these technologies by optimizing design,operations,maintenance,safety,and grid integration.AI-driven innovations are pivotal in accelerating the development and deployment of ARC technologies,ensuring they are safe,reliable,and efficient.The article underscores the vital role of policy support,global cooperation,and strategic investments in shaping a sustainable energy future that can mitigate the effects of climate change,support economic growth,and protect our planet.

Evolving National Security: A Roadmap from Present to Future in Renewable and Nonrenewable Energy Policies (A Technical Review)

This comprehensive exploration delves into the intricate dynamics of national security policies in the realm of renewable and nonrenewable energy sources.From the present landscape characterized by the diversification of energy portfolios to the long-term vision encompassing nuclear fusion,this article navigates through the nuanced interplay of technology,resilience,and environmental responsibility.The synthesis of established nuclear fission technologies and evolving renewable sources forms the cornerstone of a strategic approach,addressing challenges and opportunities to ensure a secure,sustainable energy future.

Longitudinal Scalar Wave(LSW)Fact:It Is a True Science,Neither Pseudoscience Nor Fiction(A Short Memorandum)

The discovery of scalar energy many years ago has mostly been ignored since then.Scalar energy is still misunderstood,underappreciated,and underutilized today.To comprehend the future,one must look back at the past.Scalar energy was first discovered by Scottish physicist James Clark Maxwell,who was born in 1831.Maxwell made significant advances in mathematical physics.He developed the theories relating to electromagnetic fields and radiation.Maxwell’s discoveries were advanced by Nikola Tesla,who also created instruments that demonstrated the presence of scalar energy.Nicola Tesla discovered an electromagnetic longitudinal wave in the early 1900s.It is capable of lossless energy transmission over great distances,lossless power transmission through solid metal objects,and wireless energy transmission.In this patent,Tesla neither named it nor provided a description of how it operated.Now,in the twenty-first century,it is referred to as LSWs(longitudinal scalar waves).Instantaneous longitudinal waves called scalars cover the entire field.In contrast to electromagnetic waves,which are transverse and move along an axis in a certain direction,they do not propagate along an axis or have a direction.As“vector”waves,electromagnetic waves lose power as they travel farther and pass through solid metal objects.Scalar waves also offer a unique property that Tesla does not include in his patent,which concentrates on the transportation of energy.These waves can transmit information as well.

The Symbiotic Relationship Unraveling the Interplay between Technology and Artificial Intelligence(An Intelligent Dynamic Relationship)

This article investigates the dynamic relationship between technology and AI(artificial intelligence)and the role that societal requirements play in pushing AI research and adoption.Technology has advanced dramatically throughout the years,providing the groundwork for the rise of AI.AI systems have achieved incredible feats in various disciplines thanks to advancements in computer power,data availability,and complex algorithms.On the other hand,society’s needs for efficiency,enhanced healthcare,environmental sustainability,and personalized experiences have worked as powerful accelerators for AI’s progress.This article digs into how technology empowers AI and how societal needs dictate its progress,emphasizing their symbiotic relationship.The findings underline the significance of responsible AI research,which considers both technological prowess and ethical issues,to ensure that AI continues to serve the greater good.

Revolutionizing Treatment:AI-Driven Noninvasive Approaches for ODD and ADHD

Oppositional Defiant Disorder(ODD)and Attention Deficit/Hyperactivity Disorder(ADHD)are mental health conditions that have traditionally been managed through behavioral therapies and medication.However,the integration of Artificial Intelligence(AI)has brought about a revolutionary shift in treatment approaches.This article explores the role of AI-driven noninvasive treatments for ODD and ADHD.AI offers personalized treatment plans,predictive analytics,virtual therapeutic platforms,and continuous monitoring,enhancing the effectiveness and accessibility of interventions.Ethical considerations and the need for a balanced approach are discussed.As technology evolves,collaborative efforts between mental health professionals and technologists will shape the future of mental health care for individuals with ODD and ADHD.

Understanding Anger and Effective Anger Management Techniques(A Short Review)

This article explores the complex topic of rage and its important concomitant,anger management.Anger is a natural emotion that is experienced in many ways.Its triggers,body reactions,and mental components are all examined.Developing techniques for efficient anger management begins with an understanding of the nature of rage.This short review emphasizes the significance of anger management,stressing its critical role in preserving mental and physical health,stimulating personal development,and preserving relationships.Anger that is out of control can have serious ramifications,such as long-term stress,poor decision-making,damaged relationships,and legal issues.In order to provide readers with practical knowledge,an extensive range of effective strategies for managing anger is provided.These techniques include deep breathing,cognitive restructuring,self-awareness,and physical practices including progressive muscle relaxation and exercise.Other essential elements of anger control are stress reduction,obtaining professional help,and developing effective communication skills.The conclusion highlights the transformative potential of anger management,highlighting that the key to effectively managing and utilizing this powerful emotion is not about repressing anger.By putting these strategies into practice and seeing anger as a chance for development and transformation,people can start down the path to greater wellbeing,more wholesome relationships,and a more peaceful life.

Is the Genie of Artificial Intelligence Technology Out of the Bottle and Control?(A Short Review)

In recent years,AI(artificial intelligence)has made considerable strides,transforming a number of industries and facets of daily life.However,as AI develops more,worries about its potential dangers and unforeseen repercussions have surfaced.This article investigates the claim that AI technology has broken free from human control and is now unstoppable.We look at how AI is developing right now,what it means for society,and what steps are being taken to reduce the risks that come with it.We seek to highlight the need for responsible development and implementation of this game-changing technology by examining the opportunities and challenges that AI presents.

Understanding Autism Spectrum Disorder(ASD)Unraveling the Mysteries(A Short Review)

Autism Spectrum Disorder(ASD)is a multifaceted neurodevelopmental condition characterized by a spectrum of symptoms and behaviors,challenging to fully comprehend due to its variability.This article provides an overview of ASD,including its characteristics,prevalence,diagnosis,and causes.The prevalence of ASD has been on the rise,with improved awareness and diagnostic tools.While genetics and environmental factors play a role,the exact causes remain elusive.Early intervention and various therapies are crucial for improving outcomes,although there is no cure.Ongoing research aims to uncover the complexities of ASD and develop effective treatments.Embracing diversity and fostering inclusion is essential for supporting individuals with ASD.As we continue to unravel the mysteries of ASD,we move closer to a more understanding and inclusive society.This article explores the role of Transcranial Magnetic Stimulation(TMS)in the treatment of Autism Spectrum Disorder(ASD).TMS,a non-invasive neurostimulation technique,is gaining attention as a potential therapy to address specific aspects of ASD.

Implosion Plasma Driven Fusion Pellet of Inertial Confinement(A Short Memorandum)

The implosion plasma drive fusion pellet of inertial confinement is a concept related to nuclear fusion,a process in which atomic nuclei combine to form heavier nuclei,releasing a large amount of energy in the process.The implosion plasma drive fusion pellet is a potential fuel source for achieving controlled nuclear fusion.ICF(inertial confinement fusion)is a technique used to achieve fusion by compressing a small target containing fusion fuel to extremely high densities and temperatures using lasers or other methods.The implosion plasma drive fusion pellet concept involves using a small pellet of deuterium and tritium(two isotopes of hydrogen)as fusion fuel,and then rapidly heating and compressing it using a pulsed power system.The implosion process creates a high-pressure plasma that ignites the fusion reactions,releasing energy in the form of neutrons and charged particles.The resulting energy can be captured and used for power generation.This technology is still in the experimental stage,and significant research and development is required to make it commercially viable.However,it has the potential to provide a virtually limitless source of clean energy with no greenhouse gas emissions or long-term radioactive waste.Be that as it may,ICF has to get exact control of the implosion process,mitigate insecurities,and create modern materials and advances to resist the extraordinary conditions of the combined response.

Plasma Blobs and Turbulence Impacting Magnetic Confinement(A Short Review)

Space-based plasma(i.e.,a highly ionized gas or the fourth state of matter)blobs are isolated pockets of this highly ionized gas made up of charged particles.These blobs are believed to have a substantial impact on the structure and dynamics of the cosmos and can be seen in a variety of astronomical objects,including stars,galaxies,and the intergalactic medium.Some plasma blobs are connected to intense phenomena like magnetic reconnection,shock waves,and supernovae,while others may be the result of more passive processes like cooling and gravitational collapse.In both astrophysics and plasma physics,there is ongoing research on the characteristics and behavior of plasma blobs.This phenomenon has a very adverse effect on tokamak-based MCF(magnetic confinement fusion),which is the subject of this short review paper.

Is Zero Point Energy(ZPE)True Science or Fiction?(A Short Memorandum)

ZPE(zero-point energy)is a concept in physics that refers to the lowest possible energy state that a quantum mechanical physical system can have.It is the energy that remains even at absolute zero temperature,where all classical forms of energy are assumed to be absent.Within quantum physics,the idea of ZPE is well-established.According to quantum field theory,quantum fields fluctuate even in empty space,resulting in a constant emergence and disappearance of particles and antiparticles.The ZPE comes from these fluctuations.ZPE can be used as a useful energy source;however,this idea is still up for discussion.ZPE has occasionally been linked in popular culture to pseudoscientific claims about“free energy”and perpetual motion machines.These assertions are usually unfounded and go beyond what is currently known about ZPE.There are currently no practical applications or tools that can extract useful energy from ZPE,even though it has fascinating theoretical implications and has been researched in the context of quantum field theory.Within the confines of currently understood physics,researchers are still exploring the concept’s potential ramifications and uses.

Renewable and Nonrenewable Energy Flow Resiliency for Day-to-Day Production and Consumption

Energy resilience is about ensuring a business and end-use consumers have a reliable,regular supply of energy and contingency measures in place in the event of a power failure,generating a source of power such as electricity for daily needs from an uninterrupted source of energy no matter either renewable or nonrenewable.Causes of resilience issues include power surges,weather,natural disasters,or man-made accidents,and even equipment failure.The human operational error can also be an issue for grid-power supply to go down and should be factored into resilience planning.As the energy landscape undergoes a radical transformation,from a world of large,centralized coal plants to a decentralized energy world made up of small-scale gas-fired production and renewables,the stability of electricity supply will begin to affect energy pricing.Businesses must plan for this change.The challenges that the growth of renewables brings to the grid in terms of intermittency mean that transmission and distribution costs consume an increasing proportion of bills.With progress in the technology of AI(Artificial Intelligence)integration of such progressive technology in recent decades,we are improving our resiliency of energy flow,so we prevent any unexpected interruption of this flow.Ensuring your business is energy resilient helps insulate against price increases or fluctuations in supply,becoming critical to maintaining operations and reducing commercial risk.In the form short TM(Technical Memorandum),this paper covers this issue.

The Utility of Artificial Intelligence for Mood Analysis,Depression Detection,and Suicide Risk Management

Mood disorders are often an indication or a sign of depression,and individuals suffering from mood swings may face higher probability and increased suicidal tendencies.Depression-also called“clinical depression”or a“depressive disorder”-is a mood disorder that adversely impacts how an individual feels,thinks,and handles daily activities,such as sleeping,eating,or working.To be diagnosed with depression,symptoms must be present most of the time,nearly every day for at least minimum of 2 to 3 weeks.Feeling sad or having low emotional energy may be common among people.For most,however,these feelings are transitory and can be managed by changing daily life routines.But for some,prolonged mood disorders can lead to depression and foster suicidal tendencies.Suicide is a major public health concern.Over 47,000 people died by suicide in the United States in 2017.It is the 10th leading cause of death overall according to NIMH(National Institute of Mental Health).Suicide is complicated and tragic,but it is often preventable.Identifying the warning signs for suicide and how to get help can be a major mitigating factor.In this short communication,we are reviewing the promise and limitations of AI(artificial intelligence)with its integrated tools such as ML(machine learning)and DL(deep learning)for mood analysis as a means for detecting early signs of depression and increased suicidal tendencies for possible suicide risk management.

Artificial Intelligence Integration with Energy Sources (Renewable and Non-renewable)

In the past decade or so,AI(artificial intelligence)technology has been growing with such a mesmerizing speed that today its presence in almost any industry that deals with any huge sheer volume of data is taking advantage of AI by integrating it into their day-to-day operation.Meanwhile,seven billion people worldwide shape the world’s energy system and directly impact the fundamental drivers of energy,both renewable and non-renewable sources,to meet the demand for electricity from them.These energy sources can be reached from nature such as solar,wind,etc.,and human-made such as NPPs(nuclear power plants)in the form of either fission as an old technology since the Manhattan project and in the near future as fusion in the form of magnetic or inertial confinements.Meanwhile,AI controlling nuclear reactors are about to happen.The basic idea is to apply AI with its two subset components as ML(machine learning),and DL(deep learning)techniques to go through the mountains of data that come from a reactor,spot patterns in it,and calling them to the unit’s human attention operators is not invadable either.Designers of such nuclear reactors will combine simulation and real-world data,comparing scenarios from each to develop“confidence[in]what they can predict and what is the range of uncertainty of their prediction”.Adding that,in the end,the operator will make the final decisions in order to keep these power plants safe while they are in operation and how to secure them against cyber-attack natural or human-made disasters.In this short communication article,we would like to see how we can prove some of these concepts;then a NPP manufacturer can pick it up and use it in their designs of a new generation of these reactors.

Dimensional Analysis and Similarity Method Driving Self-similar Solutions of the First and Second Kind Inducing Energy

Nearly all scientists,at conjunction with simplifying a differential equation,have probably used dimensional analysis.Dimensional analysis(also called the Factor-Label Method or the Unit Factor Method)is an approach to the problem that uses the fact that one can multiply any number or expression without changing its value.This is a useful technique.However,the reader should take care to understand that chemistry is not simply a mathematics problem.In every physical problem,the result must match the real world.In physics and science,dimensional analysis is a tool to find or check relations among physical quantities by using their dimensions.The dimension of a physical quantity is the combination of the fundamental physical dimensions(usually mass,length,time,electric charge,and temperature)which describe it;for example,speed has the dimension length/time,and may be measured in meters per second,miles per hour,or other units.Dimensional analysis is necessary because a physical law must be independent of the units used to measure the physical variables in order to be general for all cases.One of the most derivation elements from dimensional analysis is scaling and consequently arriving at similarity methods that branch out to two different groups namely self-similarity as the first one,and second kind that through them one can solve the most complex none-linear ODEs(Ordinary Differential Equations)and PDEs(Partial Differential Equations)as well.These equations can be solved either in Eulearian or Lagrangian coordinate systems with their associated BCs(Boundary Conditions)or ICs(Initial Conditions).Exemplary ODEs and PDEs in the form of none-linear can be seen in strong explosives or implosives scenario,where the results can easily be converted to induction of energy in a control forms for a peaceful purpose(i.e.,fission or fusion reactions).

Nanomaterials Driven Magnetic Nuclear Fusion Confinement Approaches(A Technical Memorandum)

Nuclear energy driven magnetic confinement via donut shape device known as Tokamak,a toroidal apparatus,for producing controlled fusion reactions in hot plasma,was originally suggested as a basic yet more promising fusion reactor.Today the more innovative version of this apparatus that is known as an ITER(international thermonuclear experimental reactor)shows a way toward MCF(magnetic confinement fusion)of hot plasma goal by satisfying Lawson’s Criteria to some degree of achievement.However,since this fusion driven reactor of hot plasma needs to operate at almost 150 million Celsius,the internal material of this reactor is a matter of concern for scientists that are involved with its fabrication.Uniqueness of nanomaterials from the point of view of physical and chemical properties is suggested as a possible potential application for this special and innovative reactor for a nuclear fusion device.Convergence of nanotechnology in study of new generation of materials of this kind can shape the path for various technological developments and a large variety of disciplines,including MCF driven plasma of hot fusion as well.This short TM(technical memorandum)written by these two authors will cover this aspect of technology in a holistic way and the more granular level is left to the reader of this TM to investigate further.

New Weapon of Tomorrow’s Battlefield Driven by Hypersonic Velocity

Speed is the new stealth and earlier this week America’s top nuclear commander described a grim scenario for U.S.forces facing off against hypersonic weapons.“We do not have any defense that could deny the employment of such a weapon against us,”Air Force Gen.John Hyten,commander of U.S.Strategic Command,told the Senate Armed Services Committee on Tuesday March 20,2018.Russian and Chinese are aggressively developing new weapons that travel at Mach 5 or higher,which is at least five times faster than speed of sound(hypersonic).These weapons travel in excess of 3,600 miles per hour(1 mile per second)and currently,no military possesses a credible defense.Finding,tracking and intercepting something that fast is unprecedented.Given that Russia and China have invested heavily in advanced defensive technologies that now hold most of our traditional forms of power projection at risk,this is a significant advantage—it is one that would impose major costs upon a defending nation.Recently,according to the director of the Army’s Rapid Capabilities and Critical Technologies Office(ARCCTO),The Army will field a battery of truck-borne hypersonic missiles in 2023,with a contract award in August,the service’s new three-star Program Executive Officer said.The service will also field a battery of 50-kilowatt lasers on Stryker armored vehicles by 2021,he said.A program to put a 100-plus-kilowatt laser on a heavy truck,however,is under review and may be combined with Air Force and/or Navy efforts to reach comparable power levels,Lt.Gen.Neil Thurgood told reporters in his interview.In this white paper we are suggesting a new technology as a counter-measure against such an adversary measure and threat that is aggressively being pursued by these two nations,Russia and China both tactically and strategically.We also briefly discuss possible physics and science of aerodynamics involved with these vehicles traveling between range of 5 Mach and higher,where we discuss current status and future direction driven by phenomena of plasma aerodynamics thorough possibly,weakly ionized gases(WIG)program that was started by the former Soviet Republics under AJAX Vehicle and that was direct understanding of the role of plasmas in the performance of this vehicle.

Principle of Scalar Electrodynamics Phenomena Proof and Theoretical Research

There exist a lot of controversial issues around the subject of SW(Scalar Waves)and the purpose of this white paper is to take an innovative theoretical approach to prove and backup up existence of such phenomena.We basically define this wave as a SLW(Scalar Longitudinal Wave),whose existence derives from the MCE(More Complete Electrodynamic)theory aspect of Maxwell’s classical electrodynamic equations.MCE falls into the QED(Quantum Electrodynamic)aspect of the Maxwell’s equations,in particular out of his four famous classical equations,our interest focuses on the one that is known to us as Faraday’s Law of the Maxwell’s Equation set.

Electrical Brain Stimulation to Treat Neurological Disorder

Neurological disorders with symptoms such as chronic pain,depression,and insomnia are widespread.Very weak electric fields applied through the skull can enhance or diminish neural activity and modulate brain waves in order to treat many of these common medical problems.This approach is to be contrasted with well-established pharmacological methods or more recent invasive electrical Deep Brain Stimulation(DBS)techniques that require surgery to insert electrodes deep into the brain.We claim that Non-Invasive Brain Stimulation(NIBS)will provide new treatment methods with much greater simplicity,lower cost,improved safety and in some cases,possibly greater effectiveness.This emerging use of NIBS is a branch of a new multidisciplinary field that we coined Neuro-systems Engineering[1].This field involves neuroscientists,psychologists,and electrical engineers.This emerging field relies on existing standards for the safe implementation of these novel treatment modalities[2].Methods of stimulating the brain are based on emerging electro-technologies such as transcranial Direct Current/Alternating Current(DC/AC)electric fields and pulsed magnetic fields.Application of functional and time-dependent brain imaging methods can be used to locate relevant brain regions and determine the most appropriate stimulation method.Application of tailored and individualized control can be combined with other therapy methods to effectively treat neurological disorders while minimizing or even eliminating the use of pharmaceuticals.In this paper,we are presenting our embodiment for a closed loop,feedback controlled,non-invasive application of electrical stimulation of the brain to enhance individual/group performance or to treat neurological disorders.