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In his book "Atomic Habits", James Clear states "Every action you take is a vote for the type of person you wish to become". For example, if you cultivate the habit of reading scholarly articles every day, you are voting to become a more knowledgeable person. If you dedicate time to physical exercise every morning, you are casting a vote to become healthier. If you commit to meeting deadlines you are voting to become more reliable. Each of these daily behaviors hand out valuable votes towards constructing your desired identity! #engineering #science #research  #security #graduateschool #graduatestudent #mtvconsortium Nuclear Engineering and Radiological Sciences—University of Michigan University of Michigan College of Engineering University of Michigan #graduatestudentsuccess

📅 **STEM Spotlight: June 28!** Hello, young scientists and engineers! 🌟 Did you know that June 28 is a remarkable day in the history of science and technology? On this day in 1906, the distinguished physicist J. Robert Oppenheimer was born. Oppenheimer is best known for his role as the scientific director of the Manhattan Project, the World War II initiative that developed the first nuclear weapons. Let's dive into this fascinating piece of history and explore the scientific and ethical dimensions of Oppenheimer's work. 🚀 **J. Robert Oppenheimer and the Manhattan Project:** Oppenheimer was a brilliant theoretical physicist whose leadership and vision were pivotal in the development of nuclear physics. The Manhattan Project, undertaken by the United States during World War II, aimed to harness nuclear fission to create powerful new weapons. The project culminated in the first successful detonation of a nuclear bomb on July 16, 1945, in the New Mexico desert—a test known as "Trinity." The creation of nuclear weapons also sparked deep ethical debates. Oppenheimer himself later reflected on the moral implications of his work, famously quoting the Bhagavad Gita: "Now I become Death, the destroyer of worlds." The use of atomic bombs in Hiroshima and Nagasaki at the end of World War II remains a subject of intense ethical scrutiny and discussion. So, today, let's honour J. Robert Oppenheimer's contributions to science and reflect on the profound impact of the Manhattan Project. Science is not just about making discoveries; it's also about considering the ethical implications of our work. Stay curious, think critically, and remember that with great knowledge comes great responsibility! 🌠🔬 #ScienceHistory #JRobertOppenheimer #ManhattanProject #NuclearPhysics #EthicsInScience #StayCurious #STEMEducation #FutureScientists

UW-Madison Department of Nuclear Engineering & Engineering Physics researchers have discovered ways to tame turbulence in the HSX fusion experiment by modifying the three-dimensional magnetic field geometry. Led by Assistant Professor Benedikt Geiger and PhD student Michael Gerard, the researchers detailed their findings in a paper published May 1, 2024, in the journal Physics of Plasmas. "These exciting results are relevant not only for the HSX experiment but also for other fusion devices as we've obtained new insight on turbulence and the underlying instabilities through this research," Geiger says. Read more: https://lnkd.in/ghVDd_zm #fusionenergy #plasmaphysics

🚀#mdpisymmetry #featurepaper Excited to share a Feature Paper with you. "Collective Excitation in High-Energy Nuclear Collisions—In Memory of Professor Lianshou Liu" 🔸https://lnkd.in/gGgKbpe4 🔹Authors: Huan Zhong Huang et al. UCLA Central China Normal University Purdue University Berkeley Lab 🔸Abstract: We celebrate the legacies of our friend and mentor Professor Lianshou Liu who was one of the pioneers for the phenomenology of multi-particle interactions and initiated the physics of relativistic heavy-ion collisions in China. In this article, we discuss some of the recent exciting experimental observations on the collective phenomena including collectivity, chirality, criticality, strangeness production, and thermal equilibrium in high-energy nuclear collisions... #highenergyphysics #chirality #QCD #thermalization #viscosity Physics and Symmetry Section

In our recent paper, we show results from the photofission of depleted uranium using a photon linac beam (a high-energy x-ray). We show that we can distinguish uranium from lead in about 30 seconds. Details of the method include: - detection prompt photofission neutrons with organic scintillators - a novel neural network to recover piled-up neutron events This work seeks to improve the detection performance of organic scintillators and showcase photon active interrogation methods for nuclear security. More information here: https://lnkd.in/dPdtxS5f #engineering #science #research  #security #graduateschool #graduatestudent Christopher Meert Shaun Clarke Tessa Maurer #photofission #activeinterrogation #neuralnetwork #phd University of Michigan University of Michigan College of Engineering Nuclear Engineering and Radiological Sciences—University of Michigan

An amazing book about hardwork,passion,adversities and uncertainty.Bound to leave an impact and make you introspect .Truly, phenomenal– "The Boy Who Did Not Sign : How I Failed Physics at Age 18 and yet became a Scientist at both India's Nuclear and Space Programs by 24." by Ashish Ranjan. Start reading it for free: https://amzn.in/byXVXR5

The Standard Model describes “periodic table of particle physics,” this model describes that Atoms are made of protons and neutrons, which are in turn composed of quarks that are all held together by gluons,the force carrier for the strong nuclear force (one of the four fundamental force. The Standard Model also makes predictions for the hypothetical particles “glueball” composed entirely of gluons.Such a state is possible because gluons carry color charge and experience the strong interaction between themselves.However, finding such a particle requires firing protons and antiprotons at each other at incredible speeds. Now, a study from scientists working with the Beijing Electron–Positron Collider II (BEPC-II) in China has discovered what’s perhaps the most convincing candidate yet. Scientists found the particle X(2370) by sifting through a decade of data made up of 10 billion samples and finding a candidate with an average mass of 2,395 MeV/c2, the expected mass of a glueball.

Your truck tire noise has been modelled.

Electric Vehicles 🚗 🔋 🔌 are much quieter than internal combustion engine vehicles due to their lack of engine noise, making tire noise the main contributor to overall vehicle noise. Accurate noise prediction through FEA allows engineers to design tires that minimize pass-by noise, improving comfort and driving experience of EVs. By simulating the interaction between the tire and road, FEA helps us identify and mitigate noise sources, leading to better tire designs and improved acoustic performance. This not only improves the driving experience but also meets stringent noise regulations

🔬 Excited to share my latest article published in the Journal of Nuclear Material! 📝 Title: An improved analysis of small punch deformation for evaluating tensile properties I am excited to announce the publication of my recent article in the Journal of Nuclear Materials. In this study, we explore the development of enhanced methodologies for estimating tensile properties through the Small Punch Test. Our research includes an in-depth discussion on utilizing finite element analysis to comprehend material deformation behavior and validating results through experimental approaches. Additionally, we discuss the applicability of these methodologies in evaluating the mechanical properties of service-exposed components. This research aims to contribute to the understanding of small volume testing and its industrial applications. I want to express my gratitude to my co-authors for their invaluable contributions and to the journal for the opportunity to share our work with the research community. Read the full article here: https://lnkd.in/d2bXJsbv #NuclearMaterial #Research #Science #JournalPublication #NuclearScience #structuralsteel Looking forward to your feedback and discussions on this topic!