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ENTITY Schrödinger equation

Schrödinger equation

PulseAugur coverage of Schrödinger equation — every cluster mentioning Schrödinger equation across labs, papers, and developer communities, ranked by signal.

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RECENT · PAGE 1/1 · 6 TOTAL
  1. TOOL · CL_252359 ·

    New foundation model accurately describes chemical bond breaking

    Researchers have developed Orbformer, a novel foundation model for quantum chemistry that accurately describes chemical bond breaking. This model leverages deep neural networks and Quantum Monte Carlo methods to learn f…

  2. TOOL · CL_223345 ·

    New framework unifies CNN information mechanics with physics equations

    This paper introduces a unified mathematical framework to model information propagation within convolutional neural networks (CNNs), aiming to bridge the gap between physical and information spaces. It establishes a cor…

  3. RESEARCH · CL_219156 ·

    New research tackles PINN limitations with error correction, precision, and shallow architectures

    Three recent research papers explore methods to improve the performance and efficiency of Physics-Informed Neural Networks (PINNs). One approach, Physics-Informed Error Field Learning (PIEFL), introduces an auxiliary er…

  4. RESEARCH · CL_131242 ·

    New research details feature learning for Schrödinger equation with deep Ritz method

    This paper explores feature learning for the stationary Schrödinger equation using the deep Ritz method. It analyzes the convergence of Riemannian gradient descent, proving it reaches an approximate global minimum. The …

  5. RESEARCH · CL_07063 ·

    New GPU framework accelerates quantum state calculations for complex systems

    Researchers have developed QiankunNet-cuSCI, a novel framework that fully accelerates the NNQS-SCI method for solving complex quantum systems using GPUs. This new approach addresses the scalability limitations of previo…

  6. RESEARCH · CL_08355 ·

    Researchers use generative modeling to solve quantum dynamics via score matching

    Researchers have developed a novel method to solve the time-dependent Schrödinger equation by learning the score function on Bohmian trajectories. This approach utilizes a neural network to parametrize the score and min…