Results 101 to 110 of about 5,723 (211)
Masked divalent yttrium and gadolinium dinitrogen complexes mediate the fragmentation of white phosphorus, converting P4 into discrete dimetallic complexes of [P4]2– and [P2]2– ligands, and an unprecedented monatomic P2– radical ligand. Structural, spectroscopic, magnetic, and DFT studies reveal insight into the bonding between these unusual Pn units ...
Arpan Mondal, Richard A. Layfield
wiley +2 more sources
A hybrid quantum‐classical architecture is introduced to accurately identify dynamical quantum phase transitions from time‐evolved quantum states. The QCNN serves as a quantum dynamical feature extractor, while the classical network learns temporal correlations from a low‐dimensional readout sequence. The framework attains high accuracy, remains robust
Daili Li +3 more
wiley +1 more source
Exploiting Ferroelectric and Spintronic Dynamics for Neural Network Computation
Ferroelectric and spintronic devices, relying on the control of polarization and magnetization, offer intrinsically fast, durable, energy‐efficient, and low‐latency building blocks for analog in‐memory computing. The hysteretic dynamics of an order parameter are leveraged to provide nonvolatile, multistate memory and nonlinear switching. Brain‐inspired
Dashiell Harrison +4 more
wiley +1 more source
Glycine molecules induce a unique crystal packing into a supramolecular one‐dimensional columnar structure of octacyanidotungstates, which exhibits exceptionally strong antiferromagnetic superexchange interactions of J = −42.41(2) K between adjacent octacyanidotungstate units.
Tatsuya Konishi +8 more
wiley +2 more sources
Ising Solver Using Vertical NAND Flash Memory
Commercial V‐NAND flash memory is repurposed as a discrete‐time Ising solver by exploiting in‐memory current summation and read‐voltage‐controlled intrinsic noise. The system implements Hopfield neural‐network updates with simulated‐annealing‐like behavior, solving max‐cut problems with high accuracy and energy efficiency while using mass‐produced ...
Sung‐Ho Park +7 more
wiley +1 more source
Does a Functional Integral Really Need a Lagrangian?
Path integral formulation of quantum mechanics (and also other equivalent formulations) depends on a Lagrangian and/or Hamiltonian function that is chosen to describe the underlying classical system.
D. Kochan
doaj
Hamiltonian Formulation and Aspects of Integrability of Generalised Hydrodynamics. [PDF]
Bonnemain T, Caudrelier V, Doyon B.
europepmc +1 more source
Symplectic physics-embedded learning via Lie groups Hamiltonian formulation for serial manipulator dynamics prediction. [PDF]
Wang F, Chen L, Ding J.
europepmc +1 more source
Koopman-von Neumann and Weyl-Wigner Phase-Space Formulation of Inviscid Euler Flows. [PDF]
Molnar SM, Godfrey JR.
europepmc +1 more source
A Mathematical Analysis of IPT-DMFT. [PDF]
Cancès E, Kirsch A, Perrin-Roussel S.
europepmc +1 more source

