Unified value-based feedback, optimization and risk management in complex electric energy systems by Ilic, Marija, Jaddivada, Rupamathi

“…It is also is proposed for the first time to utilize sensitivity functions of distributed agents for solving the primal distributed problem. Iterative communication complexity typically required for convergence of point-wise information exchange is replaced by the embedded distributed optimization by the modules when creating these functions. …”
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The Mag.num core field model as a parent for IGRF-13, and the recent evolution of the South Atlantic Anomaly by Rother, M., Korte, M., Morschhauser, A., Vervelidou, F., Matzka, J., Stolle, C.

“…Data were selected from magnetically quiet periods, and the model parameters have been obtained using an iteratively reweighted inversion scheme approximating a robust modified Huber norm as a measure of misfit. …”
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New strategies for in vivo continuous directed evolution by Papa, Louis John, III.

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Fiat-Shamir for Repeated Squaring with Applications to PPAD-Hardness and VDFs by Lombardi, Alex, Vaikuntanathan, Vinod

“…In this work, we consider the problem of compiling a different succinct interactive proof system: Pietrzak’s proof system (ITCS 2019) for the iterated squaring problem. We construct a hash function family (with evaluation time roughly (Formula Presented)) that guarantees the soundness of Fiat-Shamir for this protocol assuming the sub-exponential (Formula Presented)-hardness of the n-dimensional learning with errors problem. …”
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A Learning-Based Thermal Simulation Framework for Emerging Two-Phase Cooling Technologies by Yuan, Zihao, Vaartstra, Geoffrey, Shukla, Prachi, Lu, Zhengmao, Wang, Evelyn, Reda, Sherief, Coskun, Ayse K.

“…Two-phase cooling mechanisms, including microchannel-based two-phase cooling or two-phase vapor chambers (VCs), are typically modeled by computing the temperature-dependent heat transfer coefficient (HTC) of the evaporator or coolant using an iterative simulation framework. Precomputed HTC correlations are specific to a given cooling system design and cannot be applied to even the same cooling technology with different cooling parameters (such as different geometries). …”
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On the interplay between physical and content priors in deep learning for computational imaging by Deng, Mo, Li, Shuai, Zhang, Zhengyun, Kang, Iksung, Fang, Nicholas X, Barbastathis, George

“…Deep learning (DL) has been applied extensively in many computational imaging problems, often leading to superior performance over traditional iterative approaches. However, two important questions remain largely unanswered: First, how well can the trained neural network generalize to objects very different from the ones in training? …”
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Migrant sarifa settlements and state-Building in Iraq by Gupta, Huma.

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Hydrogen-Induced Transformations in Metastable High Entropy Alloys by Ronchi, Maria R.

“…We identify two particular samples which exhibit extreme cases of indentation response and can provide a starting point for future iterations of this investigation.…”
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An Environmental Cost Basis for Regulating Aviation NOx Emissions/ by Miller, Cassandra Joy.

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Elements of lubricant transport critical to piston skirt lubrication and to leakage into the piston ring pack in internal combustion engines by Ahling, Sebastian Gerd

“…These key findings enable us to design a better, more efficient piston in the future—in fact, one recent design iteration of the piston skirt has already revealed the benefits of this approach. …”
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Synthetic Glycomacromolecules of Defined Valency, Absolute Configuration, and Topology Distinguish between Human Lectins by Hartweg, Manuel, Jiang, Yivan, Yilmaz, Gokhan, Jarvis, Cassie M, Nguyen, Hung V-T, Primo, Gastón A, Monaco, Alessandra, Beyer, Valentin P, Chen, Kathleen K, Mohapatra, Somesh, Axelrod, Simon, Gómez-Bombarelli, Rafael, Kiessling, Laura L, Becer, C Remzi, Johnson, Jeremiah A

“…Here, we describe the development of an iterative exponential growth (IEG) synthetic strategy that enables facile access to synthetic glycomacromolecules with precisely defined and tunable sizes up to 22.5 kDa, compositions, topologies, and absolute configurations. …”
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Sparsity in Machine Learning: Theory and Applications by Lahlou Kitane, Driss

“…This approach is the first to generate several sparse principal components in one step, while existing techniques rely instead on deflation to iteratively generate principal components. The method proposed (GeoSPCA) generates high quality solutions that improves the variance explained by deflation techniques by more than an order of magnitude.…”
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An Open-Source Computational Framework for the Scalable Application of Electrification Planning Models by Aoudi, Lama Sara

“…To do so, the model iterates through an area-of-interest and searches the API for the locations and operational status of each customer type. …”
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Hopper: a mathematically optimal algorithm for sketching biological data by DeMeo, Benjamin, Berger, Bonnie

“…Unlike prior sketching methods, Hopper adds points iteratively and allows for additional sampling from regions of interest, enabling fast and targeted multi-resolution analyses. …”
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Flexible Design Approach to Fleet Management by DiPietro, Joshua

“…This plan is tailored to iteratively phase flexibility options into targeted classes and projected to enable the reduction of boat obsolescence, operational churn loss, and long-term program cost at a minimal upfront cost.…”
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Semi-Cooperative Planning in Mixed Human-Autonomous Environments by Buckman, Noam

“…Beginning with a single autonomous vehicle, we present Iterative Best Response with Imagined Shared Control, an algorithm that considers the Social Value Orientation of each human driver while achieving desirable game-theoretic equilibria. …”
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Characterizing the Thermal Behavior of Pyrolytic Graphite Sheets (PGS) at Low Interface Pressures by Padilla, Joushua G.

“…This model is important as it allows engineers to have conductivity inputs for the PGS in any thermal modeling done for future iterations of the iPEBB or in other systems where PGS is used as a TIM. …”
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A Lagrangian, Discontinuous-Galerkin Material Response Solver for the Analysis of Ablative Thermal Protection Systems by Quinn, Christopher

“…Importantly, a mesh recession algorithm is implemented to explicitly account for changes in geometry due to material ablation. A staggered iteration scheme is used to couple the multiphysics problem. …”
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The Data Artifacts Glossary: a community-based repository for bias on health datasets by Gameiro, Rodrigo R., Woite, Naira L., Sauer, Christopher M., Hao, Sicheng, Fernandes, Chrystinne O., Premo, Anna E., Teixeira, Alice R., Resli, Isabelle, Wong, An-Kwok I., Celi, Leo A.

“…Methods Utilizing a methodology inspired by the Delphi method, a diverse team of experts conducted iterative rounds of discussions and literature reviews. …”
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Digitally mediated design : using computer programming to develop a personal design process by Yakeley, Megan (Megan Webster), 1966-

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