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Aditi Krishnapriyan
Aditi Krishnapriyan
Assistant Professor, UC Berkeley
Verified email at stanford.edu - Homepage
Title
Cited by
Cited by
Year
Characterizing possible failure modes in physics-informed neural networks
A Krishnapriyan, A Gholami, S Zhe, R Kirby, MW Mahoney
Advances in Neural Information Processing Systems 34, 26548-26560, 2021
4622021
Machine learning with persistent homology and chemical word embeddings improves prediction accuracy and interpretability in metal-organic frameworks
AS Krishnapriyan, J Montoya, M Haranczyk, J Hummelshřj, D Morozov
Scientific reports 11 (1), 1-11, 2021
422021
Topological descriptors help predict guest adsorption in nanoporous materials
AS Krishnapriyan, M Haranczyk, D Morozov
The Journal of Physical Chemistry C 124 (17), 9360-9368, 2020
422020
Numerical optimization of density functional tight binding models: application to molecules containing carbon, hydrogen, nitrogen, and oxygen
A Krishnapriyan, P Yang, AMN Niklasson, MJ Cawkwell
Journal of Chemical Theory and Computation 13 (12), 6191-6200, 2017
372017
On the stereochemical inertness of the auride lone pair: Ab initio studies of AAu (A= K, Rb, Cs)
M Miao, J Brgoch, A Krishnapriyan, A Goldman, JA Kurzman, R Seshadri
Inorganic Chemistry 52 (14), 8183-8189, 2013
362013
Learning continuous models for continuous physics
AS Krishnapriyan, AF Queiruga, NB Erichson, MW Mahoney
Communications Physics 6 (1), 319, 2023
262023
Chemical reaction networks and opportunities for machine learning
M Wen, EWC Spotte-Smith, SM Blau, MJ McDermott, AS Krishnapriyan, ...
Nature Computational Science 3 (1), 12-24, 2023
262023
Spectrum of exfoliable 1D van der Waals molecular wires and their electronic properties
Y Zhu, DA Rehn, ER Antoniuk, G Cheon, R Freitas, A Krishnapriyan, ...
ACS nano 15 (6), 9851-9859, 2021
222021
Electronic structure study of the CdS buffer layer in CIGS solar cells by X-ray absorption spectroscopy: Experiment and theory
C Schwartz, D Nordlund, TC Weng, D Sokaras, L Mansfield, ...
Solar energy materials and solar cells 149, 275-283, 2016
222016
Learning differentiable solvers for systems with hard constraints
G Négiar, MW Mahoney, AS Krishnapriyan
The Eleventh International Conference on Learning Representations, 2023
192023
PersGNN: Applying Topological Data Analysis and Geometric Deep Learning to Structure-Based Protein Function Prediction
N Swenson, AS Krishnapriyan, A Buluc, D Morozov, K Yelick
arXiv preprint arXiv:2010.16027, 2020
192020
First-principles study of band alignments in the p-type hosts BaM2X2 (M= Cu, Ag; X= S, Se)
A Krishnapriyan, PT Barton, M Miao, R Seshadri
Journal of Physics: Condensed Matter 26 (15), 155802, 2014
182014
LATTE
N Bock, MJ Cawkwell, JD Coe, A Krishnapriyan, MP Kroonblawd, A Lang, ...
10.5281/zenodo.1297664, 2008
16*2008
An ecosystem for digital reticular chemistry
KM Jablonka, AS Rosen, AS Krishnapriyan, B Smit
ACS central science 9 (4), 563-581, 2023
142023
AutoIP: A United Framework to Integrate Physics into Gaussian Processes
D Long, Z Wang, A Krishnapriyan, R Kirby, S Zhe, M Mahoney
International Conference on Machine Learning, 14210-14222, 2022
102022
New assembly-free bulk layered inorganic vertical heterostructures with infrared and optical bandgaps
ER Antoniuk, G Cheon, A Krishnapriyan, DA Rehn, Y Zhou, EJ Reed
Nano letters 19 (1), 142-149, 2018
42018
Topological Regularization via Persistence-Sensitive Optimization
A Nigmetov, AS Krishnapriyan, N Sanderson, D Morozov
arXiv preprint arXiv:2011.05290, 2020
3*2020
CoarsenConf: Equivariant Coarsening with Aggregated Attention for Molecular Conformer Generation
D Reidenbach, AS Krishnapriyan
arXiv preprint arXiv:2306.14852, 2023
22023
Neural Spectral Methods: Self-supervised learning in the spectral domain
Y Du, N Chalapathi, A Krishnapriyan
The Twelfth International Conference on Learning Representations, 2024
12024
AI4DifferentialEquations In Science
DC Maddix, S Alizadeh, B Han, AS Krishnapriyan, N Ashton, V Benson, ...
ICLR 2024 Workshops, 2024
2024
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