most citedPathways Towards Ferroelectricity in Hafnia

519 citations · 523 across the 4 of their papers we have counts for

collaborators

9 papers

cond-mat.mtrl-sci20241 cited

Gas permeability, diffusivity, and solubility in polymers: Simulation-experiment data fusion and multi-task machine learning

Brandon K. Phan, Kuan-Hsuan Shen, Rishi Gurnani +3

Machine learning (ML) models for predicting gas permeability through polymers have traditionally relied on experimental data. While these models exhibit robustness within familiar…

cond-mat.soft2024

Hydroxide Transport and Mechanical Properties of Polyolefin-Based Anion Exchange Membranes from Atomistic Molecular Dynamics Simulations

Mohammed Al Otmi, Ping Lin, William Schertzer +3

Anion exchange membranes are used in alkaline fuel cells and offer a promising alternative to the more expensive proton exchange membrane fuel cells. However, hydroxide ion conduct…

cs.CL20244 cited

A Simple but Effective Approach to Improve Structured Language Model Output for Information Extraction

Yinghao Li, Rampi Ramprasad, Chao Zhang

Large language models (LLMs) have demonstrated impressive abilities in generating unstructured natural language according to instructions. However, their performance can be inconsi…

cs.LG20233 cited

PolyGET: Accelerating Polymer Simulations by Accurate and Generalizable Forcefield with Equivariant Transformer

Rui Feng, Huan Tran, Aubrey Toland +4

Polymer simulation with both accuracy and efficiency is a challenging task. Machine learning (ML) forcefields have been developed to achieve both the accuracy of ab initio methods…

physics.chem-ph20234 cited

May the Force be with You: Unified Force-Centric Pre-Training for 3D Molecular Conformations

Rui Feng, Qi Zhu, Huan Tran +4

Recent works have shown the promise of learning pre-trained models for 3D molecular representation. However, existing pre-training models focus predominantly on equilibrium data an…

cond-mat.mtrl-sci20161 cited

Machine learning force fields: Construction, validation, and outlook

Venkatesh Botu, Rohit Batra, James Chapman +1

Force fields developed with machine learning methods in tandem with quantum mechanics are beginning to find merit, given their (i) low cost, (ii) accuracy, and (iii) versatility. R…