cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Fundamental miniaturization limits for MOSFETs with a monolayer MoS$_2$ channel
Creators: name: Strikha, Maksym V.
name: Yelisieiev, Mykola
name: Morozovska, Anna N.
Publisher: name: arXiv
Year: 2021
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: Materials Science (cond-mat.mtrl-sci)
subject: FOS: Physical sciences

description: We propose a theoretical model for describing the operation of a transistor with a MoS2 monolayer channel, which allows to obtain an analytical approximation of the potential in the channel. This potential depends on the drain and gate voltages. On this basis we make estimates for the minimum channel lengths due to the fundamental restriction of quantum tunneling through the barrier. It is shown that the relatively large effective mass of electrons in the MoS2 monolayer allows to predict the creation of devices with channels of a significantly shorter (2.5 - 3 nm) length than in traditional silicon MOSFETs. These devices can be promising for the ultra-fast electronics of new generation.
description: 16 pages, 4 figures, Appendix with 2 figures
Twist instability in strongly correlated carbon nanotubes
Creators: name: Chen, Wei
name: Andreev, A. V.
name: Tsvelik, A. M.
name: Orgad, Dror
Publisher: name: arXiv
Year: 2008
Subjects: subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: FOS: Physical sciences

description: We show that strong Luttinger correlations of the electron liquid in armchair carbon nanotubes lead to a significant enhancement of the onset temperature of the putative twist Peierls instability. The instability results in a spontaneous uniform twist deformation of the lattice at low temperatures, and a gapped ground state. Depending on values of the coupling constants the umklapp electron scattering processes can assist or compete with the twist instability. In case of the competition the umklapp processes win in wide tubes. In narrow tubes the outcome of the competition depends on the relative strength of the e-e and e-ph backscattering. Our estimates show that the twist instability may be realized in free standing (5,5) tubes.
description: 4 pages, 1 figure
Comment on ``Measurement of the $^3$He mass diffusion coefficient in superfluid $^4$He over the 0.45--0.95 K temperature range
Creators: name: Lamoreaux, S. K.
name: Golub, R.
Publisher: name: arXiv
Year: 2008
Subjects: subject: Materials Science (cond-mat.mtrl-sci)
subject: FOS: Physical sciences

description: The role of 3He-3He collisions in our diffusion experiment is addressed and shown to not be relevant to the measurement of 3He diffusion against phonons in superfluid helium.
description: Two pages, in Europhysics Letters format
Di-lepton Rapidity Distribution in Drell-Yan Production to Third Order in QCD
Creators: name: Chen, Xuan
name: Gehrmann, Thomas
name: Glover, Nigel
name: Huss, Alexander
name: Yang, Tong-Zhi
name: Zhu, Hua Xing
Publisher: name: arXiv
Year: 2021
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: We compute for the first time the lepton-pair rapidity distribution in the photon-mediated Drell-Yan process to next-to-next-to-next-to-leading order (N$^3$LO) in QCD. The calculation is based on the qT-subtraction method, suitably extended to this order for quark-antiquark initiated Born processes. Our results display sizeable QCD corrections at N$^3$LO over the full rapidity region and provide a fully independent confirmation of the recent results for the total Drell-Yan cross section at this order.
description: 7 pages, 3 figures, version 2 with fitted total cross section from qT sub-leading power correction and with changes for PRL publication
title: Anosognosia for memory loss
Creators: name: Chapman, Silvia
Publisher: name: Goldsmiths, University of London
Year: 2022

description: Anosognosia for memory loss is a common feature of degenerative disorders and acquired brain injuries that manifests as the lack of awareness of memory difficulties following injury to the brain. Patients who are unaware of their memory loss, might engage in riskier behaviours, have increased difficulties managing their medication and making appropriate medical decisions. Although many studies have investigated this disorder of awareness, the underlying mechanisms of anosognosia for memory loss remain unclear. Though methodological biases in measurement have been proposed for the variable findings across studies, it has become increasingly accepted that anosognosia is a multifaceted phenomenon.

The main aims of this thesis are (i) to provide a new measure for anosognosia for memory loss: a measure that attempts to improve on existing biases in current assessments; and (ii) to provide a comprehensive examination of anosognosia from a multifaceted framework. Specifically, this thesis provides an examination of psychological (personality and mood), cognitive and metacognitive (monitoring factors) and neuroanatomical factors (lesion mapping). Results from this thesis support (i) the new measure of anosognosia presented in this thesis as a valid and reliable tool that overcomes some of the common pitfalls of existing measures and that there are (ii) underlying multifactorial factors for anosognosia for memory loss. Indeed, psychological factors such as personality traits (decreased neuroticism trait); memory monitoring abilities (memory performance and source monitoring); and neuroanatomical factors (cerebellar lesions) were found to be associated with unawareness of memory loss. Findings are discussed with regard to their relevance on current theoretical models of anosognosia for memory loss.
title: Recenzja: "Student Politics in Communist Poland: Generations of Consent and Dissent"/ Tom Junes. Lanham: Lexington Books, 2015. ISBN 978-0-7391-8030-3
Creators: name: Marzęcki, Radosław
name: Digitale Wissenschaftsplattform Pol-Int (Www.Pol-Int.Org)
Publisher: name: Europa-Universität Viadrina Frankfurt
Year: 2021

description: Tom Junes w książce „Student Politics in Communist Poland: Generations of Consent and Dissent" spogląda na ważny fragment historii Polski, przyjmując szczególnie interesującą i w zasadzie bezprecedensową perspektywę. Opisuje bowiem okres trwania komunizmu w Polsce (od 1944 roku), koncentrując się przede wszystkim na roli, jaką dla tego systemu, wobec niego i w kontrze do niego odegrały organizacje młodzieżowe i studenckie. Jak podkreśla autor, poza opisami wydarzeń z marca 1968 roku, rola młodzieży studenckiej była dotąd raczej marginalizowana na łamach literatury historycznej. Warto więc przypominać, że była to rola znacząca, nie tylko dla kształtu systemu politycznego w latach 1945–1989, ale także dla III Rzeczpospolitej. Jej architekci – i to zarówno o przeszłości postsolidarnościowej, jak i postkomunistycznej – rozpoczynali swoje polityczne kariery właśnie w organizacjach studenckich. Także wiele znaczących postaci świata mediów, nauki czy biznesu to byli studenccy aktywiści. Kontekst ich działalności, który niewątpliwie kształtował społeczne postawy i kulturę polityczną tych środowisk, powinien być silniej akcentowany na gruncie historiografii okresu Polskiej Rzeczypospolitej Ludowej (PRL). Praca Junesa z pewnością wypełnia swoistą lukę poznawczą na tym polu.
Rates of protoplanetary accretion and differentiation set nitrogen budget of rocky planets
Creators: name: Grewal, Damanveer S.
name: Dasgupta, Rajdeep
name: Hough, Taylor
name: Farnell, Alexandra
Publisher: name: arXiv
Year: 2021
Subjects: subject: Earth and Planetary Astrophysics (astro-ph.EP)
subject: Geophysics (physics.geo-ph)
subject: FOS: Physical sciences

description: The effect of protoplanetary differentiation on the fate of life essential volatiles like nitrogen and carbon and its subsequent effect on the dynamics of planetary growth is unknown. Because the dissolution of nitrogen in magma oceans depends on its partial pressure and oxygen fugacity, it is an ideal proxy to track volatile redistribution in protoplanets as a function of their sizes and growth zones. Using high pressure and high temperature experiments in graphite undersaturated conditions, here we show that the iron loving character of nitrogen is an order of magnitude higher than previous estimates across a wide range of oxygen fugacity. The experimental data combined with metal, silicate and atmosphere fractionation models suggest that asteroid sized protoplanets, and planetary embryos that grew from them, were nitrogen depleted. However, protoplanets that grew to planetary embryo size before undergoing differentiation had nitrogen rich cores and nitrogen poor silicate reservoirs. Bulk silicate reservoirs of large Earth like planets attained nitrogen from the cores of latter type of planetary embryos. Therefore, to satisfy the volatile budgets of Earth like planets during the main stage of their growth, the timescales of planetary embryo accretion had to be shorter than their differentiation timescales, that is, Moon to Mars sized planetary embryos grew rapidly within 1 to 2 million years of the Solar System formation.
description: 44 pages, 6 figures, 9 extended data figures. Nat. Geosci. (2021)
On the noncommutative standard model
Creators: name: Jureit, Jan-H.
name: Krajewski, Thomas
name: Schucker, Thomas
name: Stephan, Christoph A.
Publisher: name: arXiv
Year: 2007
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: We propose a pedestrian review of the noncommutative standard model in its present state.
description: dedicated to Alain Connes on the occasion of his 60th birthday
Impact of Geomagnetically Induced Current (GIC) on Power Transformers & Power Systems
Creators: M. Olson
K. Patil
A. Commander
T. Hartmann
A. O'Malley
R. Girgis
G. Hoffman
S. Digby
Publisher: name: IEEE
Year: 2022

Provide the industry with an overview of latest activities in the area of GIC. These include GIC regulations, GIC Standards, GIC development activities, and studies performed of impact of GIC & GIC Thermal Capabilities of Power Transformers. The following topics will be covered:
1.	NERCs TPL007 Standard, its requirements, Tasks, and Timeline
2.	System modelling and calculation of GIC Flow in power systems
3.	GIC Transformer Fleet Assessment  Case study
4.	Other Utility experiences with GIC Fleet Assessment
5.	Thermal GIC Capability of Power Transformers
6.	FirstEnergys experience with GIC System Study
7.	On-Line Monitoring of GIC and its Thermal impact in Real Time
8.	Overview of IEEE GMD Guide; C57.163-2016 and planned updates
Provide the industry with an overview of latest activities in the area of GIC. These include GIC regulations, GIC Standards, GIC development activities, and studies performed of impact of GIC & GIC Thermal Capabilities of Power Transformers. The following topics will be covered:
1.	NERCs TPL007 Standard, its requirements, Tasks, and Timeline
2.	System modelling and calculation of GIC Flow in power systems
3.	GIC Transformer Fleet Assessment  Case study
4.	Other Utility experiences with GIC Fleet Assessment
5.	Thermal GIC Capability of Power Transformers
6.	FirstEnergys experience with GIC System Study
7.	On-Line Monitoring of GIC and its Thermal impact in Real Time
8.	Overview of IEEE GMD Guide; C57.163-2016 and planned updates
Dynamics of a Superdense Cluster of Black Holes and the Formation of the Galactic SMBH
Creators: name: Chassonnery, P.
name: Capuzzo-Dolcetta, R.
Publisher: name: arXiv
Year: 2021
Subjects: subject: Astrophysics of Galaxies (astro-ph.GA)
subject: General Relativity and Quantum Cosmology (gr-qc)
subject: FOS: Physical sciences

description: The center of our Galaxy is known to host a massive compact object, Sgr A$^*$, which is commonly considered as a super-massive black hole of $\sim 4\times 10^6$ M$_\odot$. It is surrounded by a dense and massive nuclear star cluster, with a half mass radius about $5$~pc and a mass larger than $10^{7}$ M$_\odot$. In this paper we studied the evolutionary fate of a very dense cluster of intermediate mass black holes, possible remnants of the dissipative orbital evolution of massive globular cluster hosts. We performed a set of high precision $N$-body simulations taking into account deviations from pure Newtonian gravitational interaction via a Post Newtonian development up to $2.5$ order, which is the one accounting for energy release by gravitational wave emission. The violent dynamics of the system leads to various successive merger events such to grow a single object containing $\sim 25$ per cent of the total cluster mass before partial dispersal of the cluster, and such to generate, in different bursts, a significant quantity of gravitational waves emission. If generalized, the present results suggest a mechanism of mass growth up to the scale of a super massive black hole.
description: 14 pages, 13 figures, 4 tables. In press in Monthly Notices of the Royal Astronomical Society
Transition probabilities in the U(6) limit of the Symplectic Interacting Vector Boson Model
Creators: name: Ganev, H. G.
name: Georgieva, A. I.
Publisher: name: arXiv
Year: 2007
Subjects: subject: Nuclear Theory (nucl-th)
subject: FOS: Physical sciences

description: The tensor properties of the algebra generators and the basis are determined in respect to the reduction chain $Sp(12,R) \supset U(6)% \supset U(3)\otimes U(2)\supset O(3)\otimes (U(1)\otimes U(1))$, which defines one of the dynamical symmetries of the Interacting Vector Boson Model. The action of the Sp(12,R) generators as transition operators between the basis states is presented. Analytical expressions for their matrix elements in the symmetry-adapted basis are obtained. As an example the matrix elements of the E2 transition operator between collective states of the ground band are determined and compared with the experimental data for the corresponding intraband transition probabilities of nuclei in the actinide and rare earth region. On the basis of this application the important role of the symplectic extension of the model is analyzed.
description: 11 pages, 5 figures and 2 tables
Modeling Nearest Neighbor distributions of biased tracers using Hybrid Effective Field Theory
Creators: name: Banerjee, Arka
name: Kokron, Nickolas
name: Abel, Tom
Publisher: name: arXiv
Year: 2021
Subjects: subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: FOS: Physical sciences

description: We investigate the application of Hybrid Effective Field Theory (HEFT) -- which combines a Lagrangian bias expansion with subsequent particle dynamics from $N$-body simulations -- to the modeling of $k$-Nearest Neighbor Cumulative Distribution Functions ($k{\rm NN}$-${\rm CDF}$s) of biased tracers of the cosmological matter field. The $k{\rm NN}$-${\rm CDF}$s are sensitive to all higher order connected $N$-point functions in the data, but are computationally cheap to compute. We develop the formalism to predict the $k{\rm NN}$-${\rm CDF}$s of discrete tracers of a continuous field from the statistics of the continuous field itself. Using this formalism, we demonstrate how $k{\rm NN}$-${\rm CDF}$ statistics of a set of biased tracers, such as halos or galaxies, of the cosmological matter field can be modeled given a set of low-redshift HEFT component fields and bias parameter values. These are the same ingredients needed to predict the two-point clustering. For a specific sample of halos, we show that both the two-point clustering \textit{and} the $k{\rm NN}$-${\rm CDF}$s can be well-fit on quasi-linear scales ($\gtrsim 20 h^{-1}{\rm Mpc}$) by the second-order HEFT formalism with the \textit{same values} of the bias parameters, implying that joint modeling of the two is possible. Finally, using a Fisher matrix analysis, we show that including $k{\rm NN}$-${\rm CDF}$ measurements over the range of allowed scales in the HEFT framework can improve the constraints on $σ_8$ by roughly a factor of $3$, compared to the case where only two-point measurements are considered. Combining the statistical power of $k{\rm NN}$ measurements with the modeling power of HEFT, therefore, represents an exciting prospect for extracting greater information from small-scale cosmological clustering.
description: Accepted to MNRAS. Matches accepted version
Security of two-way quantum cryptography against asymmetric Gaussian attacks
Creators: name: Pirandola, Stefano
name: Mancini, Stefano
name: Lloyd, Seth
name: Braunstein, Samuel L.
Publisher: name: arXiv
Year: 2008
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: Recently, we have shown the advantages of two-way quantum communications in continuous variable quantum cryptography. Thanks to this new approach, two honest users can achieve a non-trivial security enhancement as long as the Gaussian interactions of an eavesdropper are independent and identical. In this work, we consider asymmetric strategies where the Gaussian interactions can be different and classically correlated. For several attacks of this kind, we prove that the enhancement of security still holds when the two-way protocols are used in direct reconciliation.
description: Proceeding of the SPIE Conference "Quantum Communications and Quantum Imaging VI" - San Diego 2008. This paper is connected with arXiv:quant-ph/0611167 (for the last version see: Nature Physics 4, 726 (2008))
Combining physics-based and data-driven modeling and simulation for power systems
Creators: X. Fang
Q. Huang
P. Top
Publisher: name: IEEE
Year: 2022

Physics-based methods have been the fundamental modeling and simulation approaches in power systems for decades. However, the increasing scale, complexity, uncertainties in power systems lead to grand challenges in meeting the increasing planning and operation requirements of the grid with existing physics-based methods. Recent advancements of data-driven based methods provide promising solutions to achieve computationally efficient modeling and simulation with good accuracy.  Yet, they usually suffer from data sampling efficiency, robustness and interpretability issues. Fusing the physical models and data-driven approaches can help leverage the advantages of the two, and it have achieved promising results in many domains, including power systems. In this panel, we invite researchers and engineers to present the latest research and progress in this area for different power system applications, ranging from power flow, dynamics to transient modeling and simulation. It will help share these new techniques, inspire new ideas and collaboration, and ultimately facilitate their adoptions in the industry to help better plan and operate the future grid.
Physics-based methods have been the fundamental modeling and simulation approaches in power systems for decades. However, the increasing scale, complexity, uncertainties in power systems lead to grand challenges in meeting the increasing planning and operation requirements of the grid with existing physics-based methods. Recent advancements of data-driven based methods provide promising solutions to achieve computationally efficient modeling and simulation with good accuracy.  Yet, they usually suffer from data sampling efficiency, robustness and interpretability issues. Fusing the physical models and data-driven approaches can help leverage the advantages of the two, and it have achieved promising results in many domains, including power systems. In this panel, we invite researchers and engineers to present the latest research and progress in this area for different power system applications, ranging from power flow, dynamics to transient modeling and simulation. It will help share these new techniques, inspire new ideas and collaboration, and ultimately facilitate their adoptions in the industry to help better plan and operate the future grid.
Accretion of matter and spectra of Binary X-ray sources in Massive Gravity
Creators: name: Panotopoulos, Grigoris
name: Rincon, Angel
name: Lopes, Ilídio
Publisher: name: arXiv
Year: 2021
Subjects: subject: General Relativity and Quantum Cosmology (gr-qc)
subject: FOS: Physical sciences

description: We study low-mass binary X-ray sources involving stellar mass black holes within massive gravity. Regarding the accretion disk, we adopt the standard model for an optically thick, cool, and geometrically thin disk by Shakura-Sunyaev. For the gravitational field generated by the black hole, we consider the analogue of the Schwarzschild-de Sitter space-time of Einstein's theory in massive gravity, for which we found an additional term linear in the radial coordinate. Then, we compute the radial velocity, the energy density and the pressure as a function of the radial coordinate, and the X-ray emission's soft spectral component expected from the disk. We also investigated in detailed the impact of this new geometry. Our result indicates that by using observed spectra from confirmed X-ray binaries involving astrophysical black holes, we can put strong constraints on alternative theories of gravity.
description: 7 pages, 4 figures, accepted for publication in Annals of Physics
Conservation Voltage Reduction Challenges and Opportunities in Data Collection and Analytics from a Utility Perspective
Creators: W. Fan
Z. Wang
Publisher: name: IEEE
Year: 2022

Conservation voltage reduction (CVR) has gained renewed interest in recent years as a cost?effective way to deliver energy efficiency benefits to customers. Electric utilities collect a substantial amount of load and voltage data over extended periods of time to estimate the benefits of the CVR programs. However, the calculation of the program's energy savings depends heavily on the data quality, data treatment, and the selected methodology. Even the smallest variations associated with data and its effect on the selected methodology can result in vastly different CVR factors and energy savings results. This panel brings together subject matter experts from multiple utilities across the US to provide a practical perspective into some of these challenges. The panelists will further share their experiences and utility-adopted solutions to address these challenges and ensure their programs' success.
Conservation voltage reduction (CVR) has gained renewed interest in recent years as a cost?effective way to deliver energy efficiency benefits to customers. Electric utilities collect a substantial amount of load and voltage data over extended periods of time to estimate the benefits of the CVR programs. However, the calculation of the program's energy savings depends heavily on the data quality, data treatment, and the selected methodology. Even the smallest variations associated with data and its effect on the selected methodology can result in vastly different CVR factors and energy savings results. This panel brings together subject matter experts from multiple utilities across the US to provide a practical perspective into some of these challenges. The panelists will further share their experiences and utility-adopted solutions to address these challenges and ensure their programs' success.
The Glassy Wormlike Chain
Creators: name: Kroy, K.
name: Glaser, J.
Publisher: name: arXiv
Year: 2007
Subjects: subject: Soft Condensed Matter (cond-mat.soft)
subject: FOS: Physical sciences

description: We introduce a new model for the dynamics of a wormlike chain in an environment that gives rise to a rough free energy landscape, which we baptise the glassy wormlike chain. It is obtained from the common wormlike chain by an exponential stretching of the relaxation spectrum of its long-wavelength eigenmodes, controlled by a single stretching parameter. Predictions for pertinent observables such as the dynamic structure factor and the microrheological susceptibility exhibit the characteristics of soft glassy rheology and compare favourably with experimental data for reconstituted cytoskeletal networks and live cells. We speculate about the possible microscopic origin of the stretching, implications for the nonlinear rheology, and the potential physiological significance of our results.
description: 12 pages, 8 figures. Minor corrections
Offshore Power Grid – Feasibility and Challenges
Creators: D. Fan
X. Cai
R. Yang
Z. Li
Publisher: name: IEEE
Year: 2022

Grid interconnection is centered in offshore wind generation integration. Radial or network tie-in plans not only alters the engineering and economics matric at individual OSW projects, but also have significant impact on existing onshore power grids and reveals the shape and operation challenges of future power grid infrastructures. This panel will invite experts from research, industry and regulatory to review the current practices, available technologies, and challenges in design, construct and operate massive offshore grid for US.
Grid interconnection is centered in offshore wind generation integration. Radial or network tie-in plans not only alters the engineering and economics matric at individual OSW projects, but also have significant impact on existing onshore power grids and reveals the shape and operation challenges of future power grid infrastructures. This panel will invite experts from research, industry and regulatory to review the current practices, available technologies, and challenges in design, construct and operate massive offshore grid for US.
Low-bandwidth recovery of linear functions of Reed-Solomon-encoded data
Creators: name: Shutty, Noah
name: Wootters, Mary
Publisher: name: arXiv
Year: 2021
Subjects: subject: Information Theory (cs.IT)
subject: FOS: Computer and information sciences

description: We study the problem of efficiently computing on encoded data. More specifically, we study the question of low-bandwidth computation of functions $F:\mathbb{F}^k \to \mathbb{F}$ of some data $x \in \mathbb{F}^k$, given access to an encoding $c \in \mathbb{F}^n$ of $x$ under an error correcting code. In our model -- relevant in distributed storage, distributed computation and secret sharing -- each symbol of $c$ is held by a different party, and we aim to minimize the total amount of information downloaded from each party in order to compute $F(x)$. Special cases of this problem have arisen in several domains, and we believe that it is fruitful to study this problem in generality. Our main result is a low-bandwidth scheme to compute linear functions for Reed-Solomon codes, even in the presence of erasures. More precisely, let $ε> 0$ and let $\mathcal{C}: \mathbb{F}^k \to \mathbb{F}^n$ be a full-length Reed-Solomon code of rate $1 - ε$ over a field $\mathbb{F}$ with constant characteristic. For any $γ\in [0, ε)$, our scheme can compute any linear function $F(x)$ given access to any $(1 - γ)$-fraction of the symbols of $\mathcal{C}(x)$, with download bandwidth $O(n/(ε- γ))$ bits. In contrast, the naive scheme that involves reconstructing the data $x$ and then computing $F(x)$ uses $Θ(n \log n)$ bits. Our scheme has applications in distributed storage, coded computation, and homomorphic secret sharing.
description: 31 pages, 0 figures
Tagungsband : 2. Fachtagung Eisenbahnrecht und Technik am 28./29. September 2020 : (Digitale Ausrichtung)
Creators: name: Nießen, Nils
name: Hermes, Georg
name: Kramer, Urs
Publisher: name: RWTH Aachen University
Year: 2020

description: 2. Fachtagung Eisenbahnrecht und Technik, FET2020, online, Germany, 28 Sep 2020 - 29 Sep 2020; Aachen : RWTH Aachen University 1 Online-Ressource (269 Seiten) : Illustrationen, Diagramme (2020).
description: Published by RWTH Aachen University, Aachen
Distribution System Operation and Protection Impacts of DER Operation for Bulk System Stability
Creators: R.W. Kenyon
B. Mather
A. Bretas
J. Keen
K. Jhala
K. Balasubramaniam
Publisher: name: IEEE
Year: 2022

With the soon to be available capabilities of IEEE 1547-2018 compliant DERs, there is an urgent need to better refine the impacts that DER settings/functionality for bulk power system stability aims have on distribution-centric objectives such as power quality and protection. A compromise may be necessary between distribution and bulk power system needs and the analysis to gauge these impacts is the focus of this panel.
With the soon to be available capabilities of IEEE 1547-2018 compliant DERs, there is an urgent need to better refine the impacts that DER settings/functionality for bulk power system stability aims have on distribution-centric objectives such as power quality and protection. A compromise may be necessary between distribution and bulk power system needs and the analysis to gauge these impacts is the focus of this panel.
Managing Uncertainty in Grid Operations
Creators: E. Spyrou
P. Van Hentenryck
A. Lamadrid
G.E. Constante-Flores
H. Chao
Publisher: name: IEEE
Year: 2022

Optimal utilization of all grid assets requires a fundamental shift in grid management rooted in an understanding of asset risk and system risk. Existing management practices were designed for a grid consisting of and fully reliant on conventional generation assets. Present operational and planning practices do not acknowledge or leverage the true capabilities and associated challenges of emerging assets. A novel risk-driven paradigm will allow emerging assets to be trusted and relied upon to provide the critical products and services necessary to maintain an efficient and reliable grid, thereby breaking the persistent reliance on conventional generation technologies. ARPA-Es PERFORM program (Performance-based Energy Resource Feedback, Optimization, and Risk Management) seeks to develop innovative management systems that represent the relative delivery risk of each asset and balance the collective risk of all assets across the grid. A risk-driven paradigm allows operators to: (i) fully understand the true likelihood of maintaining a supply-demand balance and system reliability, (ii) optimally manage the system, and (iii) assess the true value of essential reliability services. This paradigm shift is critical for all power systems and is essential for grids with high levels of stochastic resources. Projects will propose methods to quantify and manage risk at the asset level and at the system level.
Optimal utilization of all grid assets requires a fundamental shift in grid management rooted in an understanding of asset risk and system risk. Existing management practices were designed for a grid consisting of and fully reliant on conventional generation assets. Present operational and planning practices do not acknowledge or leverage the true capabilities and associated challenges of emerging assets. A novel risk-driven paradigm will allow emerging assets to be trusted and relied upon to provide the critical products and services necessary to maintain an efficient and reliable grid, thereby breaking the persistent reliance on conventional generation technologies. ARPA-Es PERFORM program (Performance-based Energy Resource Feedback, Optimization, and Risk Management) seeks to develop innovative management systems that represent the relative delivery risk of each asset and balance the collective risk of all assets across the grid. A risk-driven paradigm allows operators to: (i) fully understand the true likelihood of maintaining a supply-demand balance and system reliability, (ii) optimally manage the system, and (iii) assess the true value of essential reliability services. This paradigm shift is critical for all power systems and is essential for grids with high levels of stochastic resources. Projects will propose methods to quantify and manage risk at the asset level and at the system level.
Asymptotic preserving scheme for anisotropic elliptic equations with deep neural network
Creators: name: Li, Long
name: Yang, Chang
Publisher: name: arXiv
Year: 2021
Subjects: subject: Numerical Analysis (math.NA)
subject: FOS: Mathematics

description: In this paper, a new asymptotic preserving (AP) scheme is proposed for the anisotropic elliptic equations. Different from previous AP schemes, the actual one is based on first-order system least-squares for second-order partial differential equations, and it is uniformly well-posed with respect to anisotropic strength. The numerical computation is realized by a deep neural network (DNN), where least-squares functionals are employed as loss functions to determine parameters of DNN. Numerical results show that the current AP scheme is easy for implementation and is robust to approximate solutions or to identify anisotropic strength in various 2D and 3D tests.
Predictability of the large relaxations in a cellular automaton model
Creators: name: Tejedor, Alejandro
name: Ambroj, Samuel
name: Gómez, Javier B.
name: Pacheco, Amalio F.
Publisher: name: arXiv
Year: 2008
Subjects: subject: Cellular Automata and Lattice Gases (nlin.CG)
subject: FOS: Physical sciences

description: A simple one-dimensional cellular automaton model with threshold dynamics is introduced. The cumulative distribution of the size of the relaxations is analytically computed and behaves as a power law with an exponent equal to -1. This coincides with the phenomenological Gutenberg-Richter behavior observed in Seismology for the cumulative statistics of earthquakes at the regional or global scale. The key point of the model is the zero-load state of the system after the occurrence of any relaxation, no matter what its size. This leads to an equipartition of probability between all possible load configurations in the system during the successive loading cycles. Each cycle ends with the occurrence of the greatest -or characteristic- relaxation in the system. The duration of the cycles in the model is statistically distributed with a coefficient of variation ranging from 0.5 to 1. The predictability of the characteristic relaxations is evaluated by means of error diagrams. This model illustrates the value of taking into account the refractory periods to obtain a considerable gain in the quality of the predictions.
description: A note has been added in which it is discussed the possible application of the model to describe some properties of the dynamics of microtubules, growth and catastrophe. It has been also added the Acknowledgments that were forgotten in the first version
Two essays on financial economics : I. Weighted utility, risk aversion and portfolio choice : II. Competitive bidding and interest rate formation in an informal financial market
Creators: name: Mao, Mei Hui Jennifer
Publisher: name: University of British Columbia
Year: 2010

description: This thesis consists of two essays. Each essay addresses a research problem involving some aspects of uncertainty and financial economics. Essay 1 deals with the general question of whether classical results in risk aversion and portfolio choice based on expected utility hypothesis are robust with respect to recent works in nonlinear utility theories generalizing expected utility. We investigate the implications of an axiomatic generalization called weighted utility theory along with the weaker, but unaxiomatized linear Gateaux utility. We establish the equivalence among three definitions of individual global risk aversion, i.e., in terms of conditional certainty equivalent, mean preserving spread, and conditional risky-asset demand, without any differentiability assumptions about the preference functional. The only requirement is that the preference ordering be complete, transitive, consistent with first-degree stochastic dominance, and continuous in distribution. The equivalence between the first two definitions is also extended to a comparative context. We also identify the necessary and sufficient condition for the single risky asset to be a normal good to a weighted utility maximizer with concave lottery-specific utility functions. Unlike its expected utility counterpart, which depends only on the agent's initial wealth and preferences, this condition also depends on the characteristics of the risky asset. The second essay examines the role of a sequential competitive bidding process in the endogenous determination of interest rates and the corresponding allocation of loans and savings in a widely observed class of informal financial markets called the 'rotating credit association'. Optimal bidding strategies are obtained for individual agents with concave and time-additive utility functions. After deriving some comparative statics and efficiency implications of the individual optimal bidding strategy, we impose further restrictions, including risk neutrality, to obtain a tractable form of a Nash equilibrium bidding strategy. This yields, for each agent, an ex post borrowing, as well as lending, interest rate depending on the history of the realized winning bids, including the one for the period in which he won the auction. Weighted by the Nash equilibrium-induced probability of winning in each period, ex ante borrowing and lending interest rates result.
Why did the AKP lose the 2019 mayoral elections in its strongholds Istanbul and Ankara while it continued its winning streak in Konya and Bursa? A voter survey analysis.
Creators: name: Rojas, Alan
Publisher: name: University of Chicago
Year: 2021
Subjects: subject: Turkey, Electoral accountability, Voter behavior, Economic voting, Democratic values, Islam, Surveys, Qualtrics, Ankara, Bursa, Istanbul, Konya, 2019 elections

description: The empirical puzzle asks, ‘Why did the AKP lose the 2019 mayoral elections in its strongholds Istanbul and Ankara while it continued its winning streak in Konya and Bursa?’ The theoretical question this project asks is ‘Why do incumbent populist parties lose the support of the people?’ I use the Turkish mayoral elections in four cities to help answer the empirical question. August 14, 2021 officially marks the 20th anniversary of the establishment of the Justice and Development party, known as the AKP, in Turkey. Since first wielding significant power in the national assembly in 2002, the AKP has gone from being generally praised, to being widely criticized. Most of these criticisms stem from what many would call democratic backsliding as the AKP seems to be de-secularizing the country. Despite this, scholars have noted that the AKP has continued to win local and national elections with comfortable margins. However, the 2019 mayoral elections proved to be an outlier as an opposition candidate won the mayoral seats of Istanbul and Ankara, both considered to be AKP strongholds. This poses an interesting situation worth analyzing. This study tests three hypotheses which rest on the variables of religious self-identification, democratic values, and economic voting. Using the survey platform Qualtrics, 105 respondents from each of the cities of Ankara, Bursa, Istanbul, and Konya were asked to participate in this study. Relevant to my hypotheses, the results were inconclusive as the sample size of 420 total respondents was too small.
Impact of IBRs and DERs on Bulk Power System Operation
Creators: J. Skeath
X. Liu
L. He
Publisher: name: IEEE
Year: 2022

Under strong clean energy incentives, such as the United States power sector goal of 100% carbon-free electricity by 2035 to reach net-zero greenhouse gas emissions, renewable energy resources, including offshore/onshore wind and solar PV, will become a major contributor to the nations and worlds electricity supplies. The next-generation power grid will consist of a high-level penetration of large-scale inverter based renewable energy resources (IBRs) into transmission grids plus a wide integration of distributed energy resources (DERs) into distribution grids. These IBRs/DERs will bring the power grid with numerous power electronic components. Their complex control and dynamics will impact bulk power system operation significantly. This panel session will focus on these impacts and share the challenges and opportunities, visionary insights, utility experiences, and cutting-edge solutions with the Power & Energy Society to benefit future bulk power system operation.
Under strong clean energy incentives, such as the United States power sector goal of 100% carbon-free electricity by 2035 to reach net-zero greenhouse gas emissions, renewable energy resources, including offshore/onshore wind and solar PV, will become a major contributor to the nations and worlds electricity supplies. The next-generation power grid will consist of a high-level penetration of large-scale inverter based renewable energy resources (IBRs) into transmission grids plus a wide integration of distributed energy resources (DERs) into distribution grids. These IBRs/DERs will bring the power grid with numerous power electronic components. Their complex control and dynamics will impact bulk power system operation significantly. This panel session will focus on these impacts and share the challenges and opportunities, visionary insights, utility experiences, and cutting-edge solutions with the Power & Energy Society to benefit future bulk power system operation.
High Renewable Energy Penetrations within Isolated and Remote Area Power Systems
Creators: E. Semshchikov
M. Negnevitsky
J. Hamilton
X. Wang
N. Hatziargyriou
D. Lagos
Publisher: name: IEEE
Year: 2022

Isolated and Remote Area Power Systems utilizing renewable energy technologies to satisfy the majority (>50%) of their annual energy consumption are evaluated within this panel session. Isolated power systems face significant challenges under high renewable energy penetrations given the lack of system size and inertia. Papers presenting solutions to optimize system cost and performance, possibly involving renewable energy technologies, ancillary technologies or control and application methodologies are requested.
Isolated and Remote Area Power Systems utilizing renewable energy technologies to satisfy the majority (>50%) of their annual energy consumption are evaluated within this panel session. Isolated power systems face significant challenges under high renewable energy penetrations given the lack of system size and inertia. Papers presenting solutions to optimize system cost and performance, possibly involving renewable energy technologies, ancillary technologies or control and application methodologies are requested.
Megatrends to Roadmaps Power and Energy
Creators: D. Watkins
J. McBride
D. Milojicic
R. Kumar
W.R. Tonti
Publisher: name: IEEE
Year: 2022

Megatrends in Power and Energy include decarbonization; electrification; data, automation and AI; micro-sources and grids; resilience; fuel transitions and supply and demand; electrical and chemical energy storage. These megatrends have broad implication across Generation, Transmission, Distribution, Markets, Policy, and Ethics.  This panel will investigate how these Megatrends might set the stage for the components of a 20-50 year Power and Energy Society Energy Technical Roadmap.  This years PES General Meeting Supersessions covering extreme events, sustainability, artificial intelligence, and power electronics all have roots in Megatrends, and the need for roadmaps to set direction.

The panelists will describe:
-	What is a Technical Roadmap
-	A current view of Power and Energy Megatrends
-	How these Megatrends intersect with policy and regulation
-	Opportunity for the Power Industry to address megatrends in a Technical Roadmap

The panelists will describe:
-	What is a Technical Roadmap
-	A current view of Power and Energy Megatrends
-	How these Megatrends intersect with policy and regulation
-	Opportunity for the Power Industry to address megatrends in a Technical Roadmap
Megatrends in Power and Energy include decarbonization; electrification; data, automation and AI; micro-sources and grids; resilience; fuel transitions and supply and demand; electrical and chemical energy storage. These megatrends have broad implication across Generation, Transmission, Distribution, Markets, Policy, and Ethics.  This panel will investigate how these Megatrends might set the stage for the components of a 20-50 year Power and Energy Society Energy Technical Roadmap.  This years PES General Meeting Supersessions covering extreme events, sustainability, artificial intelligence, and power electronics all have roots in Megatrends, and the need for roadmaps to set direction.

The panelists will describe:
-	What is a Technical Roadmap
-	A current view of Power and Energy Megatrends
-	How these Megatrends intersect with policy and regulation
-	Opportunity for the Power Industry to address megatrends in a Technical Roadmap

The panelists will describe:
-	What is a Technical Roadmap
-	A current view of Power and Energy Megatrends
-	How these Megatrends intersect with policy and regulation
-	Opportunity for the Power Industry to address megatrends in a Technical Roadmap
Testbed and Dataset for Machine Learning Applications in Power Systems
Creators: Z. Wang
J-Y. Joo
Publisher: name: IEEE
Year: 2022

The availability of high quality and publicly available datasets such as ImageNet and MNIST greatly accelerated the development of computer vision technologies. Similarly, Gym is essential in the advancement of reinforcement learning algorithms. In this panel session, we will be introducing publicly available datasets and testbed that are tailored for machine learning applications in both power distribution systems and transmission systems. We hope these publicly available dataset and testbed make it easier for researchers to validate and compare their proposed machine learning algorithms in power systems.
The availability of high quality and publicly available datasets such as ImageNet and MNIST greatly accelerated the development of computer vision technologies. Similarly, Gym is essential in the advancement of reinforcement learning algorithms. In this panel session, we will be introducing publicly available datasets and testbed that are tailored for machine learning applications in both power distribution systems and transmission systems. We hope these publicly available dataset and testbed make it easier for researchers to validate and compare their proposed machine learning algorithms in power systems.
Identification, location, and mitigation of forced oscillations
Creators: L. Dosiek
J. Follum
S. Maslennikov
F. Zhang
X. Luo
U. Agrawal
Publisher: name: IEEE
Year: 2022

In recent years, the number of forced oscillation events has climbed significantly because of increasing uncertainties in grid operations with the growing penetration of inverter-interfaced resources. Unlike natural oscillations, forced oscillations are not immediately explainable by intrinsic properties of a conventional power system model. Instead, they are responses of the system to an external, cyclic input and can last for a relatively long time, minutes to hours, with sustained amplitude as long as the source is persistent. Forced oscillations are among the main threats to grid operators to maintain power system stability and dynamic performance. This panel will highlight findings by the Oscillation Source Location task force on mechanism and identification of forced oscillations, introduce methods and tools for locating an oscillation source and discuss mitigation of forced oscillations. The panel will also provide a forum for the academia and industry to brainstorm next steps against forced oscillations.
In recent years, the number of forced oscillation events has climbed significantly because of increasing uncertainties in grid operations with the growing penetration of inverter-interfaced resources. Unlike natural oscillations, forced oscillations are not immediately explainable by intrinsic properties of a conventional power system model. Instead, they are responses of the system to an external, cyclic input and can last for a relatively long time, minutes to hours, with sustained amplitude as long as the source is persistent. Forced oscillations are among the main threats to grid operators to maintain power system stability and dynamic performance. This panel will highlight findings by the Oscillation Source Location task force on mechanism and identification of forced oscillations, introduce methods and tools for locating an oscillation source and discuss mitigation of forced oscillations. The panel will also provide a forum for the academia and industry to brainstorm next steps against forced oscillations.