Total Energy
36 papers with code • 0 benchmarks • 1 datasets
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MD17
Most implemented papers
SchNet: A continuous-filter convolutional neural network for modeling quantum interactions
atomistic-machine-learning/schnetpack
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NeurIPS 2017
Deep learning has the potential to revolutionize quantum chemistry as it is ideally suited to learn representations for structured data and speed up the exploration of chemical space.
SDP Relaxation with Randomized Rounding for Energy Disaggregation
We develop a scalable, computationally efficient method for the task of energy disaggregation for home appliance monitoring.
Deep-neural-network solution of the electronic Schrödinger equation
deepqmc/deepqmc
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Nature Chemistry 2020
The electronic Schrödinger equation can only be solved analytically for the hydrogen atom, and the numerically exact full configuration-interaction method is exponentially expensive in the number of electrons.
An optical neural network using less than 1 photon per multiplication
Here, we experimentally demonstrate an optical neural network achieving 99% accuracy on handwritten-digit classification using ~3. 2 detected photons per weight multiplication and ~90% accuracy using ~0. 64 photons (~$2. 4 \times 10^{-19}$ J of optical energy) per weight multiplication.
The Open Catalyst 2022 (OC22) Dataset and Challenges for Oxide Electrocatalysts
The development of machine learning models for electrocatalysts requires a broad set of training data to enable their use across a wide variety of materials.
Energy Optimization for HVAC Systems in Multi-VAV Open Offices: A Deep Reinforcement Learning Approach
It takes only a total of 40 minutes for 5 epochs (about 7. 75 minutes per epoch) to train a network with superior performance and covering diverse conditions for its low-complexity architecture; therefore, it easily adapts to changes in the building setups, weather conditions, occupancy rate, etc.
Exact, Complete, and Universal Continuous-Time Worldline Monte Carlo Approach to the Statistics of Discrete Quantum Systems
We show how the worldline quantum Monte Carlo procedure, which usually relies on an artificial time discretization, can be formulated directly in continuous time, rendering the scheme exact.
An efficient iterative thresholding method for image segmentation
We proposed an efficient iterative thresholding method for multi-phase image segmentation.
Single-Perspective Warps in Natural Image Stitching
Results of image stitching can be perceptually divided into single-perspective and multiple-perspective.
Energy-Efficient Edge-Facilitated Wireless Collaborative Computing using Map-Reduce
In this work, a heterogeneous set of wireless devices sharing a common access point collaborates to perform a set of tasks.
