ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2312.14552
  4. Cited By
Machine learning for structure-guided materials and process design

Machine learning for structure-guided materials and process design

22 December 2023
L. Morand
Tarek Iraki
Johannes Dornheim
Stefan Sandfeld
Norbert Link
Dirk Helm
    AI4CE
ArXivPDFHTML

Papers citing "Machine learning for structure-guided materials and process design"

6 / 6 papers shown
Title
A Generative Model for Accelerated Inverse Modelling Using a Novel
  Embedding for Continuous Variables
A Generative Model for Accelerated Inverse Modelling Using a Novel Embedding for Continuous Variables
Sébastien Bompas
Stefan Sandfeld
AI4CE
45
1
0
19 Nov 2023
PcDGAN: A Continuous Conditional Diverse Generative Adversarial Network
  For Inverse Design
PcDGAN: A Continuous Conditional Diverse Generative Adversarial Network For Inverse Design
Amin Heyrani Nobari
Wei Chen
Faez Ahmed
59
50
0
07 Jun 2021
Dueling Network Architectures for Deep Reinforcement Learning
Dueling Network Architectures for Deep Reinforcement Learning
Ziyun Wang
Tom Schaul
Matteo Hessel
H. V. Hasselt
Marc Lanctot
Nando de Freitas
OffRL
91
3,755
0
20 Nov 2015
Prioritized Experience Replay
Prioritized Experience Replay
Tom Schaul
John Quan
Ioannis Antonoglou
David Silver
OffRL
217
3,788
0
18 Nov 2015
Deep Reinforcement Learning with Double Q-learning
Deep Reinforcement Learning with Double Q-learning
H. V. Hasselt
A. Guez
David Silver
OffRL
167
7,639
0
22 Sep 2015
Sinkhorn Distances: Lightspeed Computation of Optimal Transportation
  Distances
Sinkhorn Distances: Lightspeed Computation of Optimal Transportation Distances
Marco Cuturi
OT
215
4,262
0
04 Jun 2013
1