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A. Prakash

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#artificial intelligence Preprint Oct 2026

TheoPhysEval: Assessing AI agents at autonomous theoretical physics problem solving

We present a suite of 50 unpublished research-level theoretical physics problems with verifiable answers. Without AI assistance, a typical problem in our collection could be solved by a world expert in about a day or less but would take considerably longer for experts in adjacent specialties. We test the ability of off...

A. Chandra, Aaghaz Mahajan, A. Sanyal et al. · 0 citations
Preprint Aug 2026

Interface phases and dynamics in two-dimensional quantum magnets: A"holographic"approach from universality to quantum simulation

We introduce a framework to classify quantum phases, phase transitions, and non-equilibrium dynamics of interfaces separating ordered bulk domains in 2D quantum magnets - equivalently, confining strings in dual lattice gauge theories - based on effective 1D Hamiltonians governing geometric fluctuations. Building on a"h...

A. Prakash, Jaydev Singh Rao, S. Parameswaran et al. · 0 citations
Preprint Sep 2026

Statistical mechanics of classical fractons on a line

We study the equilibrium statistical mechanics of one-dimensional classical Machian fractons: particles whose dynamics conserves a global dipole moment and whose Hamiltonian couples momentum differences through a position-dependent pair-inertia kernel. Compactly supported interaction kernels have a divergence in the Gi...

Ylias Sadki, A. Prakash, S. L. Sondhi · 1 citation
Preprint Aug 2026

Classical fractons with cosmological fixed points

Classical fractons are Hamiltonian systems that can develop attractors after projection onto configuration or shape variables, although the full phase space admits none. We study a scale-invariant, dipole-conserving two-parameter family of fracton Hamiltonians $H_{\alpha,\beta}$. By separating coordinates into scale an...

A. Singh, Dileep P. Jatkar, S. L. Sondhi et al. · 1 citation

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