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Publications

Selected Journal Publications

Alexander S. Flecker, Qinru Shi, Rafael M. Almeida, Héctor Angarita, Jonathan M. Gomes-Selman, Roosevelt García-Villacorta, Suresh A. Sethi, Steven A. Thomas, N. LeRoy Poff, Bruce R. Forsberg, Sebastian A. Heilpern, Stephen K. Hamilton, Jorge D. Abad, Elizabeth P. Anderson, Nathan Barros, Isabel Carolina Bernal, Richard Bernstein, Carlos M. Cañas, Olivier Dangles, Andrea C. Encalada, Ayan S. Fleischmann, Michael Goulding, Jonathan Higgins, Céline Jezequel, Erin I. Larson, Peter B. McIntyre, John M. Melack, Mariana Montoya, Thierry Oberdorff, Rodrigo Paiva, Guillaume Perez, Brendan H. Rappazzo, Scott Steinschneider, Sandra Torres, Mariana Varese, M. Todd Walter, Xiaojian Wu, Yexiang Xue, Xavier E. Zapata-Ríos, Carla P. Gomes. Reducing adverse impacts of Amazon hydropower expansion. Science (2022). [free access available]


, , , , , , , , , . Automating crystal-structure phase mapping by combining deep learning with constraint reasoning. Nat. Mach. Intell. 3(9): 812-822 ()


Sebastian Ament, Maximilian Amsler, Duncan R. Sutherland, Ming-Chiang Chang, Dan Guevarra, Aine B. Connolly, John M. Gregoire, Michael O. Thompson, Carla P. Gomes, R. Bruce van Dover. Autonomous materials synthesis via hierarchical active learning of nonequilibrium phase diagrams. Science Advances (2021). [pdf]


Shufeng Kong, Francesco Ricci, Dan Guevarra, Jeffrey B. Neaton, Carla P. Gomes, John M. Gregoire. Density of states prediction for materials discovery via contrastive learning from probabilistic embeddings. Nature Communications (2022). [pdf]


Computational Sustainability

Carla P. Gomes, Daniel Fink, R. Bruce van Dover, John M. Gregoire. Computational sustainability meets materials science. Nature Reviews Materials (2021). [pdf]


, , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , . Computational sustainability: computing for a better world and a sustainable future. Commun. ACM 62(9): 56-65 () [pdf]

Cover article

Acclaimed science writer Philip Ball discusses computational sustainability in an article in Nature Materials


Materials Discovery

Shufeng Kong, Francesco Ricci, Dan Guevarra, Jeffrey B. Neaton, Carla P. Gomes, John M. Gregoire. Density of states prediction for materials discovery via contrastive learning from probabilistic embeddings. Nature Communications (2022). [pdf]


, , , , , , , , , . Automating crystal-structure phase mapping by combining deep learning with constraint reasoning. Nat. Mach. Intell. 3(9): 812-822 ()


Sebastian Ament, Maximilian Amsler, Duncan R. Sutherland, Ming-Chiang Chang, Dan Guevarra, Aine B. Connolly, John M. Gregoire, Michael O. Thompson, Carla P. Gomes, R. Bruce van Dover. Autonomous materials synthesis via hierarchical active learning of nonequilibrium phase diagrams. Science Advances (2021). [pdf]


Carla P. Gomes, Daniel Fink, R. Bruce van Dover, John M. Gregoire. Computational sustainability meets materials science. Nature Reviews Materials (2021). [pdf]


Shufeng Kong, Dan Guevarra, Carla P. Gomes, John M. Gregoire. Materials representation and transfer learning for multi-property prediction. Applied Physics Reviews (2021). [pdf]


Carla P. Gomes, Bart Selman, John M. Gregoire. Artificial intelligence for materials discovery. MRS Bulletin (2019). [pdf]

Invited paper


Sebastian E. Ament, Helge S. Stein, Dan Guevarra, Lan Zhou, Joel A. Haber, David A. Boyd, Mitsutaro Umehara, John M. Gregoire, Carla P. Gomes. Multi-component background learning automates signal detection for spectroscopic data. npj Computational Materials (2019). [pdf]


Carla P. Gomes, Junwen Bai, Yexiang Xue, Johan Björck, Brendan Rappazzo, Sebastian Ament, Richard Bernstein, Shufeng Kong, Santosh K. Suram, R. Bruce van Dover, John M. Gregoire. CRYSTAL: a multi-agent AI system for automated mapping of materials' crystal structures. MRS Communications (2019). [pdf]

CRYSTAL selected as No. 4 on Top Ten "Coolest Science, Technology Advances" in 2019


, , , , , , , , , . Phase Mapper: Accelerating Materials Discovery with AI. AI Mag. 39(1): 15-26 () [pdf]

Cover article and innovative AI award at IAAI 2017


Santosh K. Suram, Yexiang Xue, Junwen Bai, Ronan Le Bras, Brendan Rappazzo, Richard Bernstein, Johan Bjorck, Lan Zhou, R. Bruce van Dover, Carla P. Gomes, John M. Gregoire. Automated Phase Mapping with AgileFD and its Application to Light Absorber Discovery in the V-Mn-Nb Oxide System. ACS Combinatorial Science (2017). [pdf]

ACS Editors' Choice and cover article


Biodiversity and Conservation

Amrita Gupta, Bistra Dilkina, Dana J. Morin, Angela K. Fuller, J. Andrew Royle, Christopher Sutherland, Carla P. Gomes. Reserve design to optimize functional connectivity and animal density. Conservation Biology (2019). [pdf]


Bistra Dilkina, Rachel Houtman, Carla P. Gomes, Claire A. Montgomery, Kevin S. McKelvey, Katherine Kendall, Tabitha A. Graves, Richard Bernstein, Michael K. Schwartz. Trade-offs and efficiencies in optimal budget-constrained multispecies corridor networks. Conservation Biology (2016). [pdf]


, , , , , , . Crowdsourcing Meets Ecology: Hemisphere-Wide Spatiotemporal Species Distribution Models. AI Mag. 35(2): 19-30 () [pdf]


Brian L. Sullivan, Jocelyn L. Aycrigg, Jessie H. Barry, Rick E. Bonney, Nicholas Bruns, Caren B. Cooper, Theo Damoulas, André A. Dhondt, Tom Dietterich, Andrew Farnsworth, Daniel Fink, John W. Fitzpatrick, Thomas Fredericks, Jeff Gerbracht, Carla Gomes, Wesley M. Hochachka, Marshall J. Iliff, Carl Lagoze, Frank A. La Sorte, Matthew Merrifield, Will Morris, Tina B. Phillips, Mark Reynolds, Amanda D. Rodewald, Kenneth V. Rosenberg, Nancy M. Trautmann, Andrea Wiggins, David W. Winkler, Weng-Keen Wong, Christopher L. Wood, Jun Yu, Steve Kelling. The eBird enterprise: An integrated approach to development and application of citizen science. Biological Conservation (2014). [pdf]

Editors' Choice


, , , , , , , . A Human/Computer Learning Network to Improve Biodiversity Conservation and Research. AI Mag. 34(1): 10-20 () [pdf]

Cover article and innovative AI award at IAAI 2012


Reducing Adverse Impacts of Dams Using Multiobjective Optimization

Alexander S. Flecker, Qinru Shi, Rafael M. Almeida, Héctor Angarita, Jonathan M. Gomes-Selman, Roosevelt García-Villacorta, Suresh A. Sethi, Steven A. Thomas, N. LeRoy Poff, Bruce R. Forsberg, Sebastian A. Heilpern, Stephen K. Hamilton, Jorge D. Abad, Elizabeth P. Anderson, Nathan Barros, Isabel Carolina Bernal, Richard Bernstein, Carlos M. Cañas, Olivier Dangles, Andrea C. Encalada, Ayan S. Fleischmann, Michael Goulding, Jonathan Higgins, Céline Jezequel, Erin I. Larson, Peter B. McIntyre, John M. Melack, Mariana Montoya, Thierry Oberdorff, Rodrigo Paiva, Guillaume Perez, Brendan H. Rappazzo, Scott Steinschneider, Sandra Torres, Mariana Varese, M. Todd Walter, Xiaojian Wu, Yexiang Xue, Xavier E. Zapata-Ríos, Carla P. Gomes. Reducing adverse impacts of Amazon hydropower expansion. Science (2022). [free access available]


Rafael M. Almeida, Qinru Shi, Jonathan M. Gomes-Selman, Xiaojian Wu, Yexiang Xue, Hector Angarita, Nathan Barros, Bruce R. Forsberg, Roosevelt García-Villacorta, Stephen K. Hamilton, John M. Melack, Mariana Montoya, Guillaume Perez, Suresh A. Sethi, Carla P. Gomes, Alexander S. Flecker. Reducing greenhouse gas emissions of Amazon hydropower with strategic dam planning. Nature Communications (2019). [pdf]


Neuro and Symbolic Reasoning and Learning

, , , , , , , , , . Automating crystal-structure phase mapping by combining deep learning with constraint reasoning. Nat. Mach. Intell. 3(9): 812-822 ()


, , . Zero Training Overhead Portfolios for Learning to Solve Combinatorial Problems. CoRR abs/2102.03002 () [pdf]


Shufeng Kong, Dan Guevarra, Carla P. Gomes, John M. Gregoire. Materials representation and transfer learning for multi-property prediction. Applied Physics Reviews (2021). [pdf]


, , , , , . Deep Reasoning Networks for Unsupervised Pattern De-mixing with Constraint Reasoning. ICML : 1500-1509 [pdf]


, , . Solving Hard AI Planning Instances Using Curriculum-Driven Deep Reinforcement Learning. IJCAI : 2198-2205 [pdf]


, , . A Novel Automated Curriculum Strategy to Solve Hard Sokoban Planning Instances. NeurIPS [pdf]


Science of Computational Phenomena: Heavy-Tails, Algorithm Portfolios, Restarts, Streamlining, Sampling, Backdoors, and Pareto Frontier

, , , . Statistical Regimes Across Constrainedness Regions. Constraints An Int. J. 10(4): 317-337 () [pdf]


, , . Backdoors To Typical Case Complexity. IJCAI : 1173-1178 [pdf]


, , , . Heavy-Tailed Phenomena in Satisfiability and Constraint Satisfaction Problems. J. Autom. Reason. 24(1/2): 67-100 () [pdf]


Publications By Year

This publication list is mostly from my DBLP profile. Email me if you'd like a copy of one of my publications not included here.

2023

  • , , , , , , , , , , , , , , , , , , , , , . Tackling Climate Change with Machine Learning. ACM Comput. Surv. 55(2): 42:1-42:96 () [pdf]

2022

2021

2020

2019

2018

2017

2016

2015

2014

2013

2012

2011

2010

2009

2008

2007

2006

2005

2004

2003

2002

  • , , , , , , . AAAI 2002 Fall Symposium Series Reports. AI Mag. 23(2): 91-94 () [pdf]
  • , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , . AAAI 2002 Workshops. AI Mag. 23(4): 113-121 () [pdf]
  • , , , , . Dynamic Restart Policies. AAAI/IAAI : 674-681 [pdf]
  • , , , . Communication and Computation in Distributed CSP Algorithms. CP : 664-679 [pdf]

2001

2000

1999

1998

1997

1996

1994

Contact Information

Dept. Computer Science
353 Gates Hall
Cornell University
Ithaca, NY 14853 USA

Faculty of Computing and Information Science
Dept. Information Science
Dyson School of Applied Economics and Management

607-255-9189 (voice); 607-255-4428 (fax)
gomes at cs.cornell.edu
http://www.cs.cornell.edu/gomes