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Brook Wander
Observed name:
Wander, Brook
Institution:
SandboxAQ
Observed institutions:
SandboxAQ,
Carnegie Mellon University
ORCID:
0000-0001-5028-5479
Observed ORCID:
0000-0001-5028-5479
OpenAlex ID:
A5029824000
AdsorbML: a leap in efficiency for adsorption energy calculations using generalizable machine learning potentials
2023
·
Janice Lan
, Aini Palizhati
, et al.
·
npj Computational Materials
·
157
PDF
CatTSunami: Accelerating Transition State Energy Calculations with Pretrained Graph Neural Networks
2025
·
Brook Wander
, Muhammed Shuaibi
, et al.
·
ACS Catalysis
·
70
PDF
Open Catalyst Experiments 2024 (OCx24): Bridging Experiments and Computational Models
2024
·
Abed, Jehad
, Kim, Jiheon
, et al.
·
arXiv (Cornell University)
·
44
PDF
Hydrogen Adsorption Energy Necessary but Not Sufficient for HER Catalysis: Connecting Machine-Learned Descriptors with High-Throughput Experimental Catalysis over Bimetallic Nanoparticles
2022
·
Kirby Broderick
, Eric Lopato
, et al.
·
Applied Catalysis B: Environmental
·
26
PDF
Crystal Toolkit: A Web App Framework to Improve Usability and Accessibility of Materials Science Research Algorithms
2023
·
Horton, Matthew
, Shen, Jimmy-Xuan
, et al.
·
arXiv (Cornell University)
·
17
PDF
Catlas: an automated framework for catalyst discovery demonstrated for direct syngas conversion
2022
·
Brook Wander
, Kirby Broderick
, et al.
·
Catalysis Science & Technology
·
17
PDF
Accelerated discovery of CO2-to-C3-hydrocarbon electrocatalysts with human-in-the-loop
2025
·
Jiheon Kim
, Suhas Mahesh
, et al.
·
Joule
·
16
Accessing Numerical Energy Hessians with Graph Neural Network Potentials and Their Application in Heterogeneous Catalysis
2025
·
Brook Wander
, Joseph Musielewicz
, et al.
·
The Journal of Physical Chemistry C
·
12
PDF
AQCat25: unlocking spin-aware, high-fidelity machine learning potentials for heterogeneous catalysis
2026
·
Omar Allam
, Brook Wander
, et al.
·
npj Computational Materials
·
11
PDF
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Works count:
10
Citation count:
378
H-index:
9
I10-index:
9
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