LADeQ is an LLM-driven workflow that autonomously discovers and implements approximation algorithms for CCSD and CISD calculations, delivering speedups while respecting user-specified error tolerances.
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7 Pith papers cite this work. Polarity classification is still indexing.
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cond-mat.mes-hall 1 cond-mat.mtrl-sci 1 cond-mat.str-el 1 cs.AI 1 cs.DC 1 math.OC 1 physics.chem-ph 1verdicts
UNVERDICTED 7representative citing papers
A Stoner-inspired preconditioner based on non-interacting susceptibility that neglects orbital variations reduces SCF iterations in magnetic KS-DFT near phase transitions.
Analyzes convergence rates of Tseng's splitting method and two accelerated schemes for monotone inclusion problems with sum of Hölder continuous operators.
FPRM is a Transformer-based model using fixed-point convergence for adaptive halting in looped architectures, claimed effective on Sudoku, Maze, state-tracking, and ARC-AGI benchmarks.
Derives an explicit stability criterion for parquet fixed-point iterations showing convergence issues arise independently of vertex divergences and demonstrates a controlled stabilization method that reaches the physical solution across multiple divergence lines.
Asynchronous execution yields 2.9x-16.9x speedups across Jacobi, value iteration, and SCF methods; Anderson acceleration succeeds only under evaluation-level perturbation, not iterate-level corruption.
PESCA is a self-consistent electrostatic model for semiconductors in devices whose accuracy is controlled by the small ratio κ = C_g/C_q ≈ 1%.
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Convergence Rates of Tseng's Splitting Method and Its Acceleration Schemes for Monotone Inclusion Problem with a Sum of H\"older Continuous Operators
Analyzes convergence rates of Tseng's splitting method and two accelerated schemes for monotone inclusion problems with sum of Hölder continuous operators.