miscellaneous

Total Energy

3260 papers • 126 benchmarks • 313 datasets

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Benchmarks

These leaderboards are used to track progress in total-energy

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Dataset

Best Model

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Libraries

i

Use these libraries to find total-energy models and implementations

Datasets

MD17

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Most implemented papers

SDP Relaxation with Randomized Rounding for Energy Disaggregation

K. Shaloudegi, A. György, Csaba Szepesvari, Wilsun Xu•Fri Oct 28 2016

A scalable, computationally efficient method is developed for the task of energy disaggregation for home appliance monitoring by combining convex semidefinite relaxations with randomized rounding, as well as with a scalable ADMM method that exploits the special structure of the resulting semideFinite program.

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An optical neural network using less than 1 photon per multiplication

Shifan Ma, Logan G. Wright, Tatsuhiro Onodera, Brian C. Richard, P. McMahon•Mon Apr 26 2021

The authors report an ONN with >90% accuracy image classification using <1 detected photon per scalar multiplication, and shows that optical neural networks can achieve accurate results using extremely low optical energies.

242 0

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Deep-neural-network solution of the electronic Schrödinger equation

F. Noé, J. Hermann, Zeno Schätzle•Sun Sep 15 2019

High-accuracy quantum chemistry methods struggle with a combinatorial explosion of Slater determinants in larger molecular systems, but now a method has been developed that learns electronic wavefunctions with deep neural networks and reaches high accuracy with only a few determinants.

511 0

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Single-Perspective Warps in Natural Image Stitching

Tianli Liao, Nan Li•Mon Feb 12 2018

A comprehensive evaluation demonstrates that the proposed single-perspective warp outperforms some state-of-the-art warps in urban scenes, including APAP, AutoStitch, SPHP and GSP.

137 0

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Energy-Efficient Edge-Facilitated Wireless Collaborative Computing using Map-Reduce

Antoine Paris, Hamed Mirghasemi, I. Stupia, L. Vandendorpe•Tue Mar 05 2019

In this work, a heterogeneous set of wireless devices sharing a common access point collaborates to perform a set of tasks using the Map-Reduce distributed computing framework, and the derived optimal collaborative-computing scheme takes into account both the computing capabilities of the nodes and the strength of their communication links.

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Exact, complete, and universal continuous-time worldline Monte Carlo approach to the statistics of discrete quantum systems

B. Svistunov•Sun Mar 23 1997

The principles found for the update in continuous time generalize to any continuous variables in the space of discrete virtual transitions, and in principle make it possible to simulate continuous systems exactly.

275 0

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Active Collaborative Sensing for Energy Breakdown

Nipun Batra, Hongning Wang, Yiling Jia, K. Whitehouse•Sun Sep 01 2019

The results show that the active learning solution based on low-rank tensor completion for energy breakdown gives better performance with fixed number of sensors installed, when compared to the state-of-the-art, which is also proven by the theoretical analysis.

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An efficient iterative thresholding method for image segmentation

Dong Wang, Haohan Li, Xiaoyu Wei, Xiaoping Wang•Wed Aug 03 2016

An efficient iterative thresholding method for multi-phase image segmentation that has the optimal complexity O ( N log ⁡ N ) per iteration and has the total energy decaying property is proposed.

185 0

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SchNet: A continuous-filter convolutional neural network for modeling quantum interactions

A. Tkatchenko, Stefan Chmiela, K. Müller, Kristof Schütt, Pieter-Jan Kindermans, Huziel Enoc Sauceda Felix•Sun Jun 25 2017

This work proposes to use continuous-filter convolutional layers to be able to model local correlations without requiring the data to lie on a grid, and obtains a joint model for the total energy and interatomic forces that follows fundamental quantum-chemical principles.

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