Oblique growth angles reduce metal content in FEBID Co and Fe nanowires, but low voltage and high current can maintain approximately equal metal content from 0° to 60°.
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Exact results and critical properties of the Ising model with competing interactions
Canonical reference. 86% of citing Pith papers cite this work as background.
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cond-mat.mtrl-sci 7 astro-ph.GA 1 cond-mat.mes-hall 1 cond-mat.str-el 1 cs.LG 1 hep-ph 1 physics.gen-ph 1 physics.ins-det 1verdicts
UNVERDICTED 14representative citing papers
A thermodynamic analysis of magnetization data in specific Ni-Mn-Cu-Ga Heusler alloys identifies three types of magneto-structural transitions and computes a large (>=50 K) difference in Curie temperatures between austenite and martensite phases.
Alkyl-phosphonate SAMs on Nb thin films suppress oxide regrowth and maintain temporal stability in superconducting resonators over six days at 10 mK, with SAM TLS loss quantified at approximately 5 times 10 to the minus 7 using a two-component model.
A self-consistent Garfield++ Monte Carlo model coupling particle transport, electron attachment, recombination, and dynamic electric-field distortions is developed and validated for CCE in UHDR ionisation chambers.
A new high-performance framework combining R-ChFSI, mixed-precision computation, and compressed communication enables exascale fully relativistic pseudopotential DFT calculations for systems up to 100,000 electrons.
Experiments reveal that hydrogen plays a central role in forming SiC2, the key precursor to silicon carbide nanodust in carbon-rich stars.
Physics-guided data augmentation combined with neural networks enables accurate indentation size effect correction in steels from small sets of shallow nanoindentation measurements, outperforming Nix-Gao in the shallow regime.
Pressure up to 15.6 GPa collapses the bandgap in 2H-MoTe2 into a semimetallic state, replacing variable-range hopping with weak localization and antilocalization while a phenomenological model unifies the magnetoresistance across regimes.
Variational calculation produces energy levels for Rydberg states of the muon in muonic helium with QED corrections.
Thesis uses statistical mechanics to study DAM and RBM models for understanding memorization, low-dimensional learning, and adversarial robustness in neural networks.
A unified equation describes saturation magnetization loss from finite-size effects in weakly disordered spin-1/2 ferromagnets and yields a unified Bloch equation plus spin transport expression.
Thermodynamics emerges as the complete-similarity limit of statistical mechanics when the small-system group Π_B = k_B/(c ℓ³) becomes irrelevant at macroscopic scales.
MD simulation of AlCoCuFeNi HEA deposition on Si(100) finds small clusters at early stages, crystallization after ~5 ns at ~2 nm cluster size, and a final film with FCC, BCC, HCP, and amorphous phases whose lattice parameters are estimated from RDF.
Review summarizing innovations in phase-change memory energy efficiency via material scaling and thermal confinement, with discussion of attojoule-scale theoretical limits constrained by parasitics.
citing papers explorer
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Compositional and Magnetic Characterisation of Oblique Co and Fe Nanowire Structures Fabricated Using Focused Electron Beam Induced Deposition
Oblique growth angles reduce metal content in FEBID Co and Fe nanowires, but low voltage and high current can maintain approximately equal metal content from 0° to 60°.
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Thermodynamic Approach for Deciphering Magneto-Structural Phase Transitions: Proof of Concept in Heusler Alloys
A thermodynamic analysis of magnetization data in specific Ni-Mn-Cu-Ga Heusler alloys identifies three types of magneto-structural transitions and computes a large (>=50 K) difference in Curie temperatures between austenite and martensite phases.
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High temporal stability of niobium superconducting resonators by surface passivation with organophosphonate self-assembled monolayers
Alkyl-phosphonate SAMs on Nb thin films suppress oxide regrowth and maintain temporal stability in superconducting resonators over six days at 10 mK, with SAM TLS loss quantified at approximately 5 times 10 to the minus 7 using a two-component model.
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Charge Collection Efficiency in Air-Vented Plane-Parallel Ionisation Chambers at Ultra-High Dose Rates: A Self-Consistent Garfield++ Monte Carlo Model Including Space-Charge Effects and Ion Recombination
A self-consistent Garfield++ Monte Carlo model coupling particle transport, electron attachment, recombination, and dynamic electric-field distortions is developed and validated for CCE in UHDR ionisation chambers.
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Towards exascale fully relativistic pseudopotential density functional theory calculations enabled by mixed-precision computation and compressed-communication using residual based subspace iteration
A new high-performance framework combining R-ChFSI, mixed-precision computation, and compressed communication enables exascale fully relativistic pseudopotential DFT calculations for systems up to 100,000 electrons.
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The Significant Role of Hydrogen in the Formation of Silicon Carbide in Evolved Stars
Experiments reveal that hydrogen plays a central role in forming SiC2, the key precursor to silicon carbide nanodust in carbon-rich stars.
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Data-Efficient Indentation Size Effect Correction in Steels Using Machine Learning and Physics-Guided Augmentation
Physics-guided data augmentation combined with neural networks enables accurate indentation size effect correction in steels from small sets of shallow nanoindentation measurements, outperforming Nix-Gao in the shallow regime.
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Pressure-Tuned Competing Electronic States in Layered Tellurides
Pressure up to 15.6 GPa collapses the bandgap in 2H-MoTe2 into a semimetallic state, replacing variable-range hopping with weak localization and antilocalization while a phenomenological model unifies the magnetoresistance across regimes.
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Rydberg states of muonic helium in quantum electrodynamics
Variational calculation produces energy levels for Rydberg states of the muon in muonic helium with QED corrections.
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Explaining Machine Learning and Memorization with Statistical Mechanics
Thesis uses statistical mechanics to study DAM and RBM models for understanding memorization, low-dimensional learning, and adversarial robustness in neural networks.
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A unified equation for saturation magnetization and spin transport in weakly disordered ferromagnets
A unified equation describes saturation magnetization loss from finite-size effects in weakly disordered spin-1/2 ferromagnets and yields a unified Bloch equation plus spin transport expression.
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Small-System Group: Thermodynamics as a Complete Self-Similarity Limit
Thermodynamics emerges as the complete-similarity limit of statistical mechanics when the small-system group Π_B = k_B/(c ℓ³) becomes irrelevant at macroscopic scales.
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Deposition and Growth of the AlCoCuFeNi High-Entropy Alloy Thin Film: Molecular Dynamics Simulation
MD simulation of AlCoCuFeNi HEA deposition on Si(100) finds small clusters at early stages, crystallization after ~5 ns at ~2 nm cluster size, and a final film with FCC, BCC, HCP, and amorphous phases whose lattice parameters are estimated from RDF.
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Energy and Scaling Limits of Phase-Change Memory
Review summarizing innovations in phase-change memory energy efficiency via material scaling and thermal confinement, with discussion of attojoule-scale theoretical limits constrained by parasitics.