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AdsorbML: A Leap in Efficiency for Adsorption Energy Calculations using
  Generalizable Machine Learning Potentials

AdsorbML: A Leap in Efficiency for Adsorption Energy Calculations using Generalizable Machine Learning Potentials

29 November 2022
Janice Lan
Aini Palizhati
Muhammed Shuaibi
Brandon M. Wood
Brook Wander
Abhishek Das
M. Uyttendaele
C. L. Zitnick
Zachary W. Ulissi
ArXivPDFHTML

Papers citing "AdsorbML: A Leap in Efficiency for Adsorption Energy Calculations using Generalizable Machine Learning Potentials"

9 / 9 papers shown
Title
Cross-functional transferability in universal machine learning interatomic potentials
Cross-functional transferability in universal machine learning interatomic potentials
Xu Huang
B. Deng
Peichen Zhong
Aaron D. Kaplan
Kristin A. Persson
Gerbrand Ceder
29
0
0
07 Apr 2025
Transfer learning from first-principles calculations to experiments with chemistry-informed domain transformation
Transfer learning from first-principles calculations to experiments with chemistry-informed domain transformation
Yuta Yahagi
Kiichi Obuchi
Fumihiko Kosaka
Kota Matsui
24
0
0
20 Mar 2025
MoMa: A Modular Deep Learning Framework for Material Property Prediction
MoMa: A Modular Deep Learning Framework for Material Property Prediction
Botian Wang
Y. Ouyang
Yaohui Li
Y. Wang
Haorui Cui
Jianbing Zhang
Xiaonan Wang
Wei-Ying Ma
Hao Zhou
44
0
0
21 Feb 2025
AUGUR, A flexible and efficient optimization algorithm for
  identification of optimal adsorption sites
AUGUR, A flexible and efficient optimization algorithm for identification of optimal adsorption sites
I. Kouroudis
Poonam
Neel Misciaci
Felix Mayr
Leon Müller
Zhaosu Gu
A. Gagliardi
19
0
0
24 Sep 2024
AdsorbDiff: Adsorbate Placement via Conditional Denoising Diffusion
AdsorbDiff: Adsorbate Placement via Conditional Denoising Diffusion
Adeesh Kolluru
John R. Kitchin
DiffM
42
4
0
07 May 2024
Adaptive Catalyst Discovery Using Multicriteria Bayesian Optimization
  with Representation Learning
Adaptive Catalyst Discovery Using Multicriteria Bayesian Optimization with Representation Learning
Jie Chen
Pengfei Ou
Yuxin Chang
Hengrui Zhang
Xiao-Yan Li
E. H. Sargent
Wei Chen
32
0
0
18 Apr 2024
Adapting OC20-trained EquiformerV2 Models for High-Entropy Materials
Adapting OC20-trained EquiformerV2 Models for High-Entropy Materials
Christian M. Clausen
Jan Rossmeisl
Zachary W. Ulissi
29
1
0
14 Mar 2024
Spherical Channels for Modeling Atomic Interactions
Spherical Channels for Modeling Atomic Interactions
C. L. Zitnick
Abhishek Das
Adeesh Kolluru
Janice Lan
Muhammed Shuaibi
Anuroop Sriram
Zachary W. Ulissi
Brandon M. Wood
79
58
0
29 Jun 2022
The Open Catalyst 2020 (OC20) Dataset and Community Challenges
The Open Catalyst 2020 (OC20) Dataset and Community Challenges
L. Chanussot
Abhishek Das
Siddharth Goyal
Thibaut Lavril
Muhammed Shuaibi
...
Brandon M. Wood
Junwoong Yoon
Devi Parikh
C. L. Zitnick
Zachary W. Ulissi
226
503
0
20 Oct 2020
1