Mojtaba Haghighatlari

Author

University at Buffalo, State University of New York ORCID

Also Known As

Haghighatlari, Mojtaba, Mojtaba Haghighatlari, Sun, Kunyang

Publications

838

Citations

H-Index

Concepts

All Affiliations

University at Buffalo, State University of New York University of California, Berkeley Lawrence Berkeley National Laboratory Hospital for Sick Children University of Toronto

About

Mojtaba Haghighatlari is an author at University at Buffalo, State University of New York specializing in engineering, chemistry, and computational chemistry.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	12	12	392
2	Management	3	3	81
3	Applied Physics	3	3	77
4	Natural Sciences	2	2	72
5	Medicine	1	1	12

Mojtaba Haghighatlari

Publications

759

Citations

H-Index

Page 1

	Year	Citations
NewtonNet: a Newtonian message passing network for deep learning of interatomic potentials and forces Mojtaba Haghighatlari, Jie Li, Xingyi Guan, Digital Discovery	2022	122
Learning to Make Chemical Predictions: The Interplay of Feature Representation, Data, and Machine Learning Methods Mojtaba Haghighatlari, Jie Li, Farnaz Heidar‐Zadeh, Chem Feature RepresentationEngineeringMachine LearningData ScienceMachine Learning Methods	2020	114
<i>ChemML</i> : A machine learning and informatics program package for the analysis, mining, and modeling of chemical and materials data Mojtaba Haghighatlari, Gaurav Vishwakarma, Doaa Altarawy, Wiley Interdisciplinary Reviews Computational Molecular Science	2020	63
Extended experimental inferential structure determination method in determining the structural ensembles of disordered protein states James Lincoff, Mojtaba Haghighatlari, Mickaël Krzeminski, Communications Chemistry	2020	63
IDPConformerGenerator: A Flexible Software Suite for Sampling the Conformational Space of Disordered Protein States João M. C. Teixeira, Zi Hao Liu, Ashley Namini, The Journal of Physical Chemistry A EngineeringStructural BioinformaticsRobust Monte CarloBiomolecular Structure PredictionMolecular Biology	2022	58
Accelerated Discovery of High-Refractive-Index Polyimides via <i>First-Principles</i> Molecular Modeling, Virtual High-Throughput Screening, and Data Mining Mohammad Atif Faiz Afzal, Mojtaba Haghighatlari, Sai Prasad Ganesh, The Journal of Physical Chemistry C Optical MaterialsEngineeringVirtual High-throughput ScreeningComputational ChemistryChemistry	2019	53
A deep neural network model for packing density predictions and its application in the study of 1.5 million organic molecules Mohammad Atif Faiz Afzal, Aditya Sonpal, Mojtaba Haghighatlari, Chemical Science	2019	48
Building and deploying a cyberinfrastructure for the data-driven design of chemical systems and the exploration of chemical space Johannes Hachmann, Mohammad Atif Faiz Afzal, Mojtaba Haghighatlari, Molecular Simulation EngineeringMachine LearningChemical AnalysisMachine Learning ToolChemistry	2018	41
Learning to evolve structural ensembles of unfolded and disordered proteins using experimental solution data Oufan Zhang, Mojtaba Haghighatlari, Jie Li, The Journal of Chemical Physics	2023	35
A benchmark dataset for Hydrogen Combustion Xingyi Guan, Akshaya Kumar Das, Christopher J. Stein, Scientific Data	2022	25

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