William Tang
Princeton, New Jersey, United States
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larry zamick
On Seniority and Signature for 48Cr Larry Zamick Department ofPhysics and Astronomy Rutgers University Bush Campus ,Piscataway, New Jersey 08854 1.) Abstract: Most work on seniority in nuclear physics involves nucleons of one kind. However we previously showed that in a single j shell calculation for48Cr —4f7/2 protons and 4 f7/2 /neutrons a quantum number involving seniority emerges- SEN=(-1)^((vp+vn)/2). For some states SEN=+1 and for others SEN= -1. The leads to a lot of zeros in the amplitudes that describe the wave functions. But here we show that there are additional zeros that are not accounted for by this quantum number but require a second one -Signature [SIG]. 2.)Introduction: In the single j shell model space the nucleus 48Cr has 4 protons and 4 neutrons in the f7/2 shell. But this can also be described as 4 proton holes and and 4 neutron holes . This means that if one applies the operation of cross conjugate symmetry, a concept prominent featured in the work of McCullen, Bayman and Zamick [1] , in 48 Cr we end up with the same nucleus that we started with. It was shown by Escuderos, Zamick and Bayman[2,3], that as a consequence, a quantum number emerged which could be associated with each eigenstate. SEN=(-1)^((vp+vn)/2).For some states SEN=+1and for the others SEN =-1. Here vp and vn are the seniorities of the protons and neutrons respectively. A more analytical approach to this result was afforded by Neergaard [4]. The detailed 48Cr wave functions are shown in ref [2] , They are represented as column vectors where the entries are amplitudes A(Jp,Jn) , such that A(Jp,Jn)^2 is the probability that in a given state the protons couple to Jp and the neutrons to Jn. We showJ=1 ,2and 3 wave functions below the references. Because of the quantum number association with a given eigenstate we have the striking result that many of the amplitudes are zero. 3.) Added Results : Upon looking harder at the wave functions listed in ref[2], we find that not all the “zero amplitudes” can be explained but the “SEN” selection rule. Here are the rules for additional zeros. For an even J selected state with SEN+1and isospin T=1 the amplitudes A(Jp,Jp) are equal to zero; for odd J the same is true for selected SEN=+1 T= 0 states. An even J examples the J=2 T=1 SEN= +1 state at 6.693 MeV. For this state the amplitudes A(2,2), A(4,4),A(6,6) and A(8,8 ) are all zero despite the fact they have SEN=+1. An additional quantum number-Signature [SIG]is required. If for even Jp,Jn A(Jp,Jn) = + A(Jn,Jp)we have even signature; if A(Jp,Jn) = -A(Jn,Jp) odd signature. chrome-extension://efaidnbmnnnibpcajpcglclefindmkaj/https://lnkd.in/eMxJimnK References: J.D. McCullen, B.F. Bayman and L. Zamick, Phys. Rev., B515, 134 (1964) A.Escuderos, L.Zamick and B.F. Bayman, arXiv:nucl-th/0506050 (2006) 3. M.Quinonez, A. Kingan , X.Yu and L.Zamick, Rom. J. Phys. 63, 301 (2018) 4. K. Neergaard , Phys. Rev. C 91, 044313 (2015)
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Junbo Zhao
IEEE PES means to me a strong community comprised of committed students, educators, engineers, technology providers, and government representatives at various levels—local, state, and federal—all working together like a family to advance the goals of grid reliability, resilience and decarbonization!
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Linn Li
📣 Find our newly published article here! ✨ Assembly Theory of Binary Messages 💫 https://buff.ly/3KW415r 📜 #assembly_theory; emergent dimensionality; shortest addition chains; P versus NP problem; #mathematical_physics #MDPIOpenAccess #ComSciMathMdpi #MathematicsMdpi
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Gabriele Mogni
This article discusses a groundbreaking mathematical approach, called "Crystal Math," developed by researchers at New York University to predict crystal structures rapidly and accurately. Unlike traditional physics-based methods, which are time-intensive and require supercomputers, Crystal Math relies on mathematical rules and basic physical descriptors to determine how molecules arrange themselves in crystals. By solving equations for key parameters such as molecular location, orientation, and geometry, this method can predict crystal structures within hours on a standard laptop. Successfully tested on known compounds like aspirin, the approach also accurately modeled complex molecular crystals not found in existing databases. This innovation promises significant advancements in industries like pharmaceuticals and electronics by enabling quick and precise predictions of crystal stability and form, essential for developing new materials and products. For more details, please continue reading the full article under the following link: https://lnkd.in/eJfyfq28 -------------------------------------------------------- In general, if you enjoy reading this kind of scientific news articles, I would also be keen to connect with fellow researchers based on common research interests, including the possibility to discuss about any potential interest in the Materials Square cloud-based platform ( www.matsq.com ), designed for streamlining the execution of materials and molecular atomistic simulations! Best regards, Dr. Gabriele Mogni Technical Consultant and EU Representative Virtual Lab Inc., the parent company of the Materials Square platform Website: https://lnkd.in/epxjgisN Email: [email protected] #materials #materialsscience #materialsengineering #computationalchemistry #modelling #chemistry #researchanddevelopment #research #MaterialsSquare #ComputationalChemistry #Tutorial #DFT #simulationsoftware #simulation
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Laura Assis
I am proud to share that our paper, "Greedy Recursive Spectral Bisection for Modularity-Bound Hierarchical Divisive Community Detection," has been published in Statistics and Computing. Thanks to an agreement between Springer and FCT - Portugal, you can access the full article for free! Dive into our innovative approach for community detection and explore the detailed methodology and results. Check it out here: https://rdcu.be/dL8bM #StatisticsAndComputing #CommunityDetection #Research #OpenAccess #Springer #PPCIC #PPPRO #CEFETRJ #DataScience
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John Kieffer
Very excited for this paper to be published in the upcoming issue of Acta Materialia. We propose a new perspective on the thermodynamic underpinnings of why the temperature dependence of the viscosity of glass forming liquids deviates from Arrhenius behavior. If you are curious, a free preprint of the article is available for download until Jan. 4, '25 at https://lnkd.in/gYPGfUAh.
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Tony Shaska Sr
https://lnkd.in/djxEaptu Galois theory, a cornerstone of modern algebra, provides profound insights into the solvability of polynomial equations. Since its inception by Évariste Galois, it has explained why there are no general formulas for polynomials of degree five or higher by radicals, unlike the well-known quadratic, cubic, and quartic formulas. This theory links the algebraic structure of field extensions to the symmetry of polynomial roots encapsulated by their Galois groups. While traditional methods allow us to determine solvability for lower-degree polynomials through invariants like discriminants, the complexity escalates dramatically for higher degrees, where the Galois group might not be solvable, leading to no radical solution.
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Eray Aydil
All the JVST Editors and co-authors of this article hope that it will be useful in planning future projects and research directions. The Department of Energy Office of Science Fusion Energy Sciences held a workshop titled Plasma Science for Microelectronics Nanofabrication in August 2022 to discuss the plasma science challenges and technical barriers that need to be overcome to continue to develop the innovative plasma technologies required to support and advance the semiconductor industry. One of the key outcomes of the workshop was identifying a set of priority research opportunities (PROs) to focus attention on the most strategic plasma science challenges to address to benefit the semiconductor industry. For each PRO, scientific challenges and recommended strategies to address those challenges were identified. This article summarizes the PROs identified by the workshop participants.
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Sung-Min Hong
The off-line lectures of my Computational Microelectronics course this semester have concluded. This year, I have introduced several new features: 1) Simple instruction set (L1) 2) Compact model for MOSFETs (L2~L5) 3) Neural network (L8 & L9) 4) Level-set method (L20 & L21) 5) Monte Carlo method for ion implantation (L22) 6) Thermal expansion (L23) The entire playlist of live-streamed (or pre-recorded) videos is available on YouTube: https://lnkd.in/g-CmNeu6 The lecture slides and materials can be downloaded from my GitHub repository: GitHub - hi2ska2/cm2024f Some of newly introduced topics have been covered briefly, and I plan to improve their treatment in the coming years. Additionally, I will continue to expand the course coverage to stay aligned with the advancements in computation microelectronics.
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Physics Section of Symmetry
#mdpisymmetry #featurepaper Feature Paper "Nuclear Mass Predictions of the Relativistic Density Functional Theory with the Kernel Ridge Regression and the Application to r-Process Simulations" is available at https://lnkd.in/gHgF82A5 Authors: Lihan Guo, Xinhui Wu and Pengwei Zhao Peking University #machinelearning #densityfunctionaltheory
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Ujjwal Guin
https://lnkd.in/dgcVvAys We sincerely thank the NSF for supporting our research on data remanence in SRAMs. This grant supports a collaborative research effort between my lab at Auburn and Dr. Biswajit Ray's lab at Colorado State University. Over the past several years, we have achieved several milestones: (1) We were the first to demonstrate that SRAMs can be used to detect recycled ICs by showing the effect of aging on SRAM cells and developing a method to accurately identify recycled ICs, https://lnkd.in/dPMte2xQ. (2) We investigated the impact of PMOS and NMOS on power-up behavior, https://lnkd.in/d8jet4RJ. (3) We were the first to explore the hidden dangers of discarding SRAMs, revealing that data remanence is permanent and can be exploited by adversaries, https://lnkd.in/dMB3Y5B3. #hardwaresecurity #cybersecurity, #VLSI
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Materials Research Institute
Penn State’s Center for Three-Dimensional Ferroelectric Microelectronics Manufacturing (3DFeM), led by Susan Trolier-McKinstry, Penn State’s Evan Pugh University Professor and Flaschen Professor of Ceramic Science and Engineering, maintains the best and most complete set of facilities in the world for the deposition, characterization and integration of ferroelectric materials — materials that are useful in applications such as memory storage devices, capacitors and sensors because of their ability to maintain polarization even after an external field is removed. https://lnkd.in/ekXggEEE #ferroelectrics #piezoelectrics #memorystorage #devices #capacitors #sensors
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Ziaul Haque Munim
In a recent study, published in the journal Reliability Engineering & System Safety, co-authored with Michael André Hindenes Sørli, HyungJu Kim, and Prof. Ilan Alon, we used Automated Machine Learning (AutoML) in analysing maritime accident risk in the Norwegian coastal waters. https://lnkd.in/ehvH5gBT (open access) . Over 40 years of accident records data from the Norwegian Maritime Authority are analysed. A total of 29 ML models are trained using cloud-based AutoML platform DataRobot. The best-performing model is then validated using Python (codes available as supplementary material). The three most impactful factors for accident risk are the category of navigation waters, phase of operation, and gross tonnage of the vessel. . #MaritimeSafety #MaritimeAccident #MachineLearning #LightGBT #DataRobot #AccidentRisk #AutoML
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Gabriele Mogni
A recent study by Dr. Albert Solé-Daura and Prof. Feliu Maseras explored the application of Marcus theory, traditionally used to model electron transfer, in estimating energy transfer (EnT) barriers for photocatalysis. They found that using an "asymmetric" version of Marcus theory provides more accurate predictions, which could lead to faster experimental work and better photocatalytic system designs. This approach simplifies computational modeling, unlocking new possibilities for large-scale screenings in EnT photocatalysis, a field that remains challenging to model. For more details, you can access the full article here: https://lnkd.in/eWFxWVNK
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David Coit
The recent IEEE Transactions on Reliability issue (vol. 73, no. 1, March 2024) commemorates the 75 year history of the journal. The paper 'The Ten Most Cited Papers From IEEE Transaction on Reliability' written by Phillip Laplante, CSDP, PE, MBA, PhD lists the papers with the most citations in the 75 year history of the journal. I am proud to be #4 on the list with my paper 'Reliability Optimization of Series-Parallel Systems Using Genetic Algorithms' by David Coit & Alice Smith (vol. 45, no. 2, 1996). In addition to #4 on the 75 year list, it is the #1 most cited paper in the last 30 years based on the paper's metrics. This paper is from the first technical chapter (and least interesting, in my opinion) from my PhD dissertation at University of Pittsburgh, and was actually written about 1994 or 1995. The paper demonstrates that the combinatorial nature of the redundancy allocation problem can be exploited to obtain superior solutions by removing constraints and restrictions on the problem structure artificially imposed by mathematicians solving the problem, as opposed to the engineers who formulated the problem. #rutgers #reliability #industrialengineering #universityofpittsburgh #reliabilityoptimization #rutgersise
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