Selectivity in yttrium manganese oxide synthesis via local chemical potentials in hyperdimensional phase space

Kavli Affiliate: Kristin A. Persson | First 5 Authors: Paul K. Todd, Matthew J. McDermott, Christopher L. Rom, Adam A. Corrao, Jonathan J. Denney | Summary: In sharp contrast to molecular synthesis, materials synthesis is generally presumed to lack selectivity. The few known methods of designing selectivity in solid-state reactions have limited scope, such as […]


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A large deviation theory perspective on nanoscale transport phenomena

Kavli Affiliate: David T. Limmer | First 5 Authors: David T. Limmer, Chloe Y. Gao, Anthony R. Poggioli, , | Summary: Understanding transport processes in complex nanoscale systems, like ionic conductivities in nanofluidic devices or heat conduction in low dimensional solids, poses the problem of examining fluctuations of currents within nonequilibrium steady states and relating […]


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Random-access quantum memory using chirped pulse phase encoding

Kavli Affiliate: Irfan Siddiqi | First 5 Authors: James O’Sullivan, Oscar W. Kennedy, Kamanasish Debnath, Joseph Alexander, Christoph W. Zollitsch | Summary: As in conventional computing, key attributes of quantum memories are high storage density and, crucially, random access, or the ability to read from or write to an arbitrarily chosen register. However, achieving such […]


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Loss Mechanism Analyses of Perovskite Solar Cells with an Equivalent Circuit Model

Kavli Affiliate: Ting Xu | First 5 Authors: Ting Xu, Zi-Shuai Wang, Xuan-Hua Li, Wei E. I. Sha, | Summary: Understanding and quantifying the main loss factors affecting the power conversion efficiency of perovskite solar cells are urgently needed. In this work, based on semiconductor physics, the expressions of bulk and surface recombination currents are […]


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A new parameter free partially penalized immersed finite element and the optimal convergence analysis

Kavli Affiliate: Feng Wang | First 5 Authors: Haifeng Ji, Feng Wang, Jinru Chen, Zhilin Li, | Summary: This paper presents a new parameter free partially penalized immersed finite element method and convergence analysis for solving second order elliptic interface problems. A lifting operator is introduced on interface edges to ensure the coercivity of the […]


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Correlation-Driven Electron-Hole Asymmetry in Graphene Field Effect Devices

Kavli Affiliate: Alessandra Lanzara | First 5 Authors: Nicholas Dale, Ryo Mori, M. Iqbal Bakti Utama, Jonathan D. Denlinger, Conrad Stansbury | Summary: Electron-hole asymmetry is a fundamental property in solids that can determine the nature of quantum phase transitions and the regime of operation for devices. The observation of electron-hole asymmetry in graphene and […]


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Four-Spin Terms and the Origin of the Chiral Spin Liquid in Mott Insulators on the Triangular Lattice

Kavli Affiliate: Joel E. Moore | First 5 Authors: Tessa Cookmeyer, Johannes Motruk, Joel E. Moore, , | Summary: At strong repulsion, the triangular-lattice Hubbard model is described by $s=1/2$ spins with nearest-neighbor antiferromagnetic Heisenberg interactions and exhibits conventional 120$^circ$ order. Using the infinite density matrix renormalization group and exact diagonalization, we study the effect […]


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Revealing the Brønsted-Evans-Polanyi Relation in Halide-Activated Fast MoS2 Growth Towards Millimeter-Sized 2D Crystals

Kavli Affiliate: Alex Zettl | First 5 Authors: Qingqing Ji, Cong Su, Nannan Mao, Xuezeng Tian, Juan-Carlos Idrobo | Summary: Achieving large-size two-dimensional (2D) crystals is key to fully exploiting their remarkable functionalities and application potentials. Chemical vapor deposition (CVD) growth of 2D semiconductors such as monolayer MoS2 has been reported to be activated by […]


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OPTIMADE, an API for exchanging materials data

Kavli Affiliate: Kristin A. Persson | First 5 Authors: Casper W. Andersen, Rickard Armiento, Evgeny Blokhin, Gareth J. Conduit, Shyam Dwaraknath | Summary: The Open Databases Integration for Materials Design (OPTIMADE) consortium has designed a universal application programming interface (API) to make materials databases accessible and interoperable. We outline the first stable release of the […]


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Mutual Information Scaling for Tensor Network Machine Learning

Kavli Affiliate: Birgitta Whaley | First 5 Authors: Ian Convy, William Huggins, Haoran Liao, K. Birgitta Whaley, | Summary: Tensor networks have emerged as promising tools for machine learning, inspired by their widespread use as variational ansatze in quantum many-body physics. It is well known that the success of a given tensor network ansatz depends […]


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