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ORCIDDan Sanders 0002
Person information
- affiliation: IBM Research Almaden, San Jose, CA, USA
- affiliation (PhD 2005): California Institute of Technology, Department of Chemistry, Pasadena, CA, USA
Other persons with the same name
- Daniel P. Sanders 0001 (aka: Daniel Sanders 0001) — Columbia University, New York City, NY, USA (and 1 more)
- Daniel Sanders 0003 — University of Duisburg-Essen, Germany
2020 – today
- 2025
[j1]Eduardo Almeida Soares
, Victor Shirasuna, Emilio Vital Brazil, Karen Fiorella Aquino Gutierrez, Renato Cerqueira, Dmitry Zubarev, Kristin Schmidt, Daniel P. Sanders:
Causality-driven feature selection and domain adaptation for enhancing chemical foundation models in downstream tasks. Mach. Learn. Sci. Technol. 6(1): 15017 (2025)- 2023
- [i6]Eduardo E. M. Soares, Emilio Vital Brazil, Karen Fiorela Aquino Gutierrez, Renato Cerqueira, Dan Sanders, Kristin Schmidt, Dmitry Zubarev:
Beyond Chemical Language: A Multimodal Approach to Enhance Molecular Property Prediction. CoRR abs/2306.14919 (2023) - 2022
- [i5]Dmitry Zubarev, Carlos Raoni Mendes, Emilio Vital Brazil, Renato Cerqueira, Kristin Schmidt, Vinícius C. V. B. Segura, Juliana Jansen Ferreira, Dan Sanders:
Toward Human-AI Co-creation to Accelerate Material Discovery. CoRR abs/2211.04257 (2022) - 2021
- [i4]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:
Molecule Generation Experience: An Open Platform of Material Design for Public Users. CoRR abs/2108.03044 (2021) - [i3]Samuel C. Hoffman, Vijil Chenthamarakshan, Dmitry Yu. Zubarev, Daniel P. Sanders, Payel Das:
Sample-Efficient Generation of Novel Photo-acid Generator Molecules using a Deep Generative Model. CoRR abs/2112.01625 (2021) - 2020
- [c2]Petar Ristoski, Dmitry Yu. Zubarev, Anna Lisa Gentile, Nathaniel Park, Daniel Sanders, Daniel Gruhl, Linda Kato, Steve Welch:
Expert-in-the-loop AI for Polymer Discovery. CIKM 2020: 2701-2708 - [c1]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:
Molecular Inverse-Design Platform for Material Industries. KDD 2020: 2961-2969 - [i2]Seiji Takeda, Toshiyuki Hama, Hsiang-Han Hsu, Toshiyuki Yamane, Koji Masuda, Victoria A. Piunova, Dmitry Zubarev, Jed Pitera, Daniel P. Sanders, Daiju Nakano:
AI-driven Inverse Design System for Organic Molecules. CoRR abs/2001.09038 (2020) - [i1]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:
Molecular Inverse-Design Platform for Material Industries. CoRR abs/2004.11521 (2020)
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