Dmitry Zubarev

According to our database, Dmitry Zubarev authored at least 16 papers between 2007 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Formulation Graphs for Mapping Structure-Composition of Battery Electrolytes to Device Performance.

Vidushi Sharma, Maxwell Giammona, Dmitry Zubarev, Andy Tek, Khanh Nugyuen, Linda Sundberg, Daniele Congiu, Young-Hye La

J. Chem. Inf. Model., November, 2023

Beyond Chemical Language: A Multimodal Approach to Enhance Molecular Property Prediction.

Eduardo E. M. Soares, Emilio Vital Brazil, Karen Fiorela Aquino Gutierrez, Renato Cerqueira, Daniel P. Sanders, Kristin Schmidt, Dmitry Zubarev

CoRR, 2023

Human-AI Co-Creation Approach to Find Forever Chemicals Replacements.

Juliana Jansen Ferreira, Vinícius C. V. B. Segura, Joana G. R. Souza, Gabriel D. J. Barbosa, João Gallas, Renato Cerqueira, Dmitry Zubarev

CoRR, 2023

Domain-agnostic and Multi-level Evaluation of Generative Models.

Girmaw Abebe Tadesse, Jannis Born, Celia Cintas, William Ogallo, Dmitry Zubarev, Matteo Manica, Komminist Weldemariam

CoRR, 2023

2022

Toward Human-AI Co-creation to Accelerate Material Discovery.

Dmitry Zubarev, Carlos Raoni Mendes, Emilio Vital Brazil, Renato Cerqueira, Kristin Schmidt, Vinícius C. V. B. Segura, Juliana Jansen Ferreira, Daniel P. Sanders

CoRR, 2022

Topology-Driven Generative Completion of Lacunae in Molecular Data.

Dmitry Yu. Zubarev, Petar Ristoski

CoRR, 2022

2021

Sample-Efficient Generation of Novel Photo-acid Generator Molecules using a Deep Generative Model.

Samuel C. Hoffman, Vijil Chenthamarakshan, Dmitry Yu. Zubarev, Daniel P. Sanders, Payel Das

CoRR, 2021

Molecule Generation Experience: An Open Platform of Material Design for Public Users.

Seiji Takeda, Toshiyuki Hama, Hsiang-Han Hsu, Akihiro Kishimoto, Makoto Kogoh, Takumi Hongo, Kumiko Fujieda, Hideaki Nakashika, Dmitry Zubarev, Daniel P. Sanders, Jed W. Pitera, Junta Fuchiwaki, Daiju Nakano

CoRR, 2021

2020

AI-driven Inverse Design System for Organic Molecules.

Seiji Takeda, Toshiyuki Hama, Hsiang-Han Hsu, Toshiyuki Yamane, Koji Masuda, Victoria A. Piunova, Dmitry Zubarev, Jed Pitera, Daniel P. Sanders, Daiju Nakano

CoRR, 2020

Molecular Inverse-Design Platform for Material Industries.

Seiji Takeda, Toshiyuki Hama, Hsiang-Han Hsu, Victoria A. Piunova, Dmitry Zubarev, Daniel P. Sanders, Jed W. Pitera, Makoto Kogoh, Takumi Hongo, Yenwei Cheng, Wolf Bocanett, Hideaki Nakashika, Akihiro Fujita, Yuta Tsuchiya, Katsuhiko Hino, Kentaro Yano, Shuichi Hirose, Hiroki Toda, Yasumitsu Orii, Daiju Nakano

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Expert-in-the-loop AI for Polymer Discovery.

Petar Ristoski, Dmitry Yu. Zubarev, Anna Lisa Gentile, Nathaniel Park, Daniel P. Sanders, Daniel Gruhl, Linda Kato, Steve Welch

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019

A recommender system for antimicrobial resistance.

Sarath Swaminathan, Dmitry Yu. Zubarev, Mark Kunitomi

Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

2018

Data Infrastructure and Approaches for Ontology-Based Drug Repurposing.

Stephen Boyer, Thomas D. Griffin, Sarath Swaminathan, Kenneth L. Clarkson, Dmitry Zubarev

CoRR, 2018

2017

Materials Science Literature-Patent Relevance Search: A Heterogeneous Network Analysis Approach.

Pingjie Tang, Jed Pitera, Dmitry Zubarev, Nitesh V. Chawla

Proceedings of the 2017 IEEE International Conference on Data Science and Advanced Analytics, 2017

2007

Comprehensive analysis of chemical bonding in boron clusters.

Dmitry Yu. Zubarev, Alexander I. Boldyrev

J. Comput. Chem., 2007

Global minimum structure searches via particle swarm optimization.

Seth T. Call, Dmitry Yu. Zubarev, Alexander I. Boldyrev

J. Comput. Chem., 2007