Felipe Oviedo

HLA-genotype-based Predictive Diagnosis of T-cell Responses to SARS-CoV-2 Infection Powered by Machine Learning

Robert G. Lisziewicz, Felipe Oviedo, Andras G. Szasz, Juan M. Lavista Ferres, Franco Lori, Julianna Lisziewicz

European Society of Medicine | November 2023

Publication PDF DOI Project

DeepDeg: Forecasting and explaining degradation in novel photovoltaics

Felipe Oviedo, David S Hayden, Thomas Heumeuller, Jonas Wortmann, Jose Dario Perea, Richa Naik, Hansong Xue, Juan M. Lavista Ferres, John Fisher III, Christoph J Brabec, Tonio Buonassisi

March 2023

Publication Project

Predicting the Locations of Cryptic Pockets from Single Protein Structures Using the PocketMiner Graph Neural Network

Artur Meller, Michael Ward, Jonathan Borowsky, Jeffrey M. Lotthammer, Meghana Kshirsagar, Felipe Oviedo, Juan M. Lavista Ferres, Gregory R. Bowman

Nature Communications | February 2023

Publication DOI Project

An Artificial Intelligence Dataset for Solar Energy Locations in India

Anthony Ortiz, Dhaval Negandhi, Sagar R Mysorekar, Joseph Kiesecker, Shivaprakash K Nagaraju, Caleb Robinson, Priyal Bhatia, Aditi Khurana, Jane Wang, Felipe Oviedo, Juan M. Lavista Ferres

Scientific Data | August 2022, Vol 9(1): pp. 1-13

Publication PDF Project Project Project

Interpretable and Explainable Machine Learning for Materials Science and Chemistry

Felipe Oviedo, Juan M. Lavista Ferres, Tonio Buonassisi, Keith Butler

ACS Publications | June 2022

Publication PDF

BankNote-Net: Open Dataset for Assistive Universal Currency Recognition

Felipe Oviedo, Srinivas Vinnakota, Eugene Seleznev, Hemant Malhotra, Saqib Shaikh, Juan M. Lavista Ferres

April 2022

Publication PDF Project

Becoming Good at AI for Good

Meghana Kshirsagar, Siyu Yang, Caleb Robinson, Shahrzad Gholami, Ivan Klyuzhin, Sumit Mukherjee, Md Nasir, Anthony Ortiz, Felipe Oviedo, Darren Tanner, Anusua Trivedi, Yixi Xu, Ming Zhong, Bistra Dilkina, Rahul Dodhia, Juan M. Lavista Ferres

AAAI/ACM Conference on AI, Ethics, and Society (AIES'21) | April 2021

Publication

How machine learning can help select capping layers to suppress perovskite degradation

Noor Titan Putri Hartono, Janak Thapa, Armi Tiihonen, Felipe Oviedo, Clio Batali, Jason J. Yoo, Zhe Liu, Ruipeng Li, David Fuertes Marrón, Moungi G. Bawendi, Tonio Buonassisi, Shijing Sun

Nature Communications | August 2020, Vol 11(1): pp. 4172-4172

Publication DOI

Embedding physics domain knowledge into a Bayesian network enables layer-by-layer process innovation for photovoltaics

Zekun Ren, Zekun Ren, Felipe Oviedo, Maung Thway, Siyu I. P. Tian, Siyu I. P. Tian, Yue Wang, Hansong Xue, Jose Dario Perea, Jose Dario Perea, Mariya Layurova, Thomas Heumueller, Thomas Heumueller, Erik Birgersson, Armin G. Aberle, Christoph J. Brabec, Christoph J. Brabec, Rolf Stangl, Qianxiao Li, Shijing Sun, Fen Lin, Ian Marius Peters, Tonio Buonassisi, Tonio Buonassisi

January 2020

DOI Publication Publication

Accelerated Development of Perovskite-Inspired Materials via High-Throughput Synthesis and Machine-Learning Diagnosis

Shijing Sun, Noor T.P. Hartono, Zekun D. Ren, Zekun D. Ren, Felipe Oviedo, Antonio M. Buscemi, Mariya Layurova, De Xin Chen, Tofunmi Ogunfunmi, Janak Thapa, Savitha Ramasamy, Charles Settens, Charles Settens, Brian L. DeCost, Aaron G. Kusne, Zhe Liu, Siyu I.P. Tian, Siyu I.P. Tian, Ian Marius Peters, Juan-Pablo Correa-Baena, Tonio Buonassisi, Tonio Buonassisi

Joule | June 2019, Vol 3(6): pp. 1437-1451

DOI Publication

Fast and interpretable classification of small X-ray diffraction datasets using data augmentation and deep neural networks

Felipe Oviedo, Zekun Ren, Shijing Sun, Charles Settens, Zhe Liu, Noor Titan Putri Hartono, Savitha Ramasamy, Brian L. DeCost, Siyu I. P. Tian, Giuseppe Romano, Aaron Gilad Kusne, Tonio Buonassisi, Tonio Buonassisi

May 2019

DOI Publication Publication Publication

HLA-genotype-based Predictive Diagnosis of T-cell Responses to SARS-CoV-2 Infection Powered by Machine Learning

Robert G. Lisziewicz, Felipe Oviedo, Andras G. Szasz, Juan M. Lavista Ferres, Franco Lori, Julianna Lisziewicz

European Society of Medicine | November 2023

Publication PDF DOI Project

DeepDeg: Forecasting and explaining degradation in novel photovoltaics

Felipe Oviedo, David S Hayden, Thomas Heumeuller, Jonas Wortmann, Jose Dario Perea, Richa Naik, Hansong Xue, Juan M. Lavista Ferres, John Fisher III, Christoph J Brabec, Tonio Buonassisi

March 2023

Publication Project

Interpretable and Explainable Machine Learning for Materials Science and Chemistry

Felipe Oviedo, Juan M. Lavista Ferres, Tonio Buonassisi, Keith Butler

ACS Publications | June 2022

Publication PDF

BankNote-Net: Open Dataset for Assistive Universal Currency Recognition

Felipe Oviedo, Srinivas Vinnakota, Eugene Seleznev, Hemant Malhotra, Saqib Shaikh, Juan M. Lavista Ferres

April 2022

Publication PDF Project

Becoming Good at AI for Good

Meghana Kshirsagar, Siyu Yang, Caleb Robinson, Shahrzad Gholami, Ivan Klyuzhin, Sumit Mukherjee, Md Nasir, Anthony Ortiz, Felipe Oviedo, Darren Tanner, Anusua Trivedi, Yixi Xu, Ming Zhong, Bistra Dilkina, Rahul Dodhia, Juan M. Lavista Ferres

AAAI/ACM Conference on AI, Ethics, and Society (AIES'21) | April 2021

Publication

How machine learning can help select capping layers to suppress perovskite degradation

Noor Titan Putri Hartono, Janak Thapa, Armi Tiihonen, Felipe Oviedo, Clio Batali, Jason J. Yoo, Zhe Liu, Ruipeng Li, David Fuertes Marrón, Moungi G. Bawendi, Tonio Buonassisi, Shijing Sun

Nature Communications | August 2020, Vol 11(1): pp. 4172-4172

Publication DOI

Embedding physics domain knowledge into a Bayesian network enables layer-by-layer process innovation for photovoltaics

Zekun Ren, Zekun Ren, Felipe Oviedo, Maung Thway, Siyu I. P. Tian, Siyu I. P. Tian, Yue Wang, Hansong Xue, Jose Dario Perea, Jose Dario Perea, Mariya Layurova, Thomas Heumueller, Thomas Heumueller, Erik Birgersson, Armin G. Aberle, Christoph J. Brabec, Christoph J. Brabec, Rolf Stangl, Qianxiao Li, Shijing Sun, Fen Lin, Ian Marius Peters, Tonio Buonassisi, Tonio Buonassisi

January 2020

DOI Publication Publication

Accelerated Development of Perovskite-Inspired Materials via High-Throughput Synthesis and Machine-Learning Diagnosis

Shijing Sun, Noor T.P. Hartono, Zekun D. Ren, Zekun D. Ren, Felipe Oviedo, Antonio M. Buscemi, Mariya Layurova, De Xin Chen, Tofunmi Ogunfunmi, Janak Thapa, Savitha Ramasamy, Charles Settens, Charles Settens, Brian L. DeCost, Aaron G. Kusne, Zhe Liu, Siyu I.P. Tian, Siyu I.P. Tian, Ian Marius Peters, Juan-Pablo Correa-Baena, Tonio Buonassisi, Tonio Buonassisi

Joule | June 2019, Vol 3(6): pp. 1437-1451

DOI Publication

Fast and interpretable classification of small X-ray diffraction datasets using data augmentation and deep neural networks

Felipe Oviedo, Zekun Ren, Shijing Sun, Charles Settens, Zhe Liu, Noor Titan Putri Hartono, Savitha Ramasamy, Brian L. DeCost, Siyu I. P. Tian, Giuseppe Romano, Aaron Gilad Kusne, Tonio Buonassisi, Tonio Buonassisi

May 2019

DOI Publication Publication Publication

DeepDeg: Forecasting and explaining degradation in novel photovoltaics

Felipe Oviedo, David S Hayden, Thomas Heumeuller, Jonas Wortmann, Jose Dario Perea, Richa Naik, Hansong Xue, Juan M. Lavista Ferres, John Fisher III, Christoph J Brabec, Tonio Buonassisi

March 2023

Publication Project

An Artificial Intelligence Dataset for Solar Energy Locations in India

Anthony Ortiz, Dhaval Negandhi, Sagar R Mysorekar, Joseph Kiesecker, Shivaprakash K Nagaraju, Caleb Robinson, Priyal Bhatia, Aditi Khurana, Jane Wang, Felipe Oviedo, Juan M. Lavista Ferres

Scientific Data | August 2022, Vol 9(1): pp. 1-13

Publication PDF Project Project Project

How machine learning can help select capping layers to suppress perovskite degradation

Noor Titan Putri Hartono, Janak Thapa, Armi Tiihonen, Felipe Oviedo, Clio Batali, Jason J. Yoo, Zhe Liu, Ruipeng Li, David Fuertes Marrón, Moungi G. Bawendi, Tonio Buonassisi, Shijing Sun

Nature Communications | August 2020, Vol 11(1): pp. 4172-4172

Publication DOI

Embedding physics domain knowledge into a Bayesian network enables layer-by-layer process innovation for photovoltaics

Zekun Ren, Zekun Ren, Felipe Oviedo, Maung Thway, Siyu I. P. Tian, Siyu I. P. Tian, Yue Wang, Hansong Xue, Jose Dario Perea, Jose Dario Perea, Mariya Layurova, Thomas Heumueller, Thomas Heumueller, Erik Birgersson, Armin G. Aberle, Christoph J. Brabec, Christoph J. Brabec, Rolf Stangl, Qianxiao Li, Shijing Sun, Fen Lin, Ian Marius Peters, Tonio Buonassisi, Tonio Buonassisi

January 2020

DOI Publication Publication

Accelerated Development of Perovskite-Inspired Materials via High-Throughput Synthesis and Machine-Learning Diagnosis

Shijing Sun, Noor T.P. Hartono, Zekun D. Ren, Zekun D. Ren, Felipe Oviedo, Antonio M. Buscemi, Mariya Layurova, De Xin Chen, Tofunmi Ogunfunmi, Janak Thapa, Savitha Ramasamy, Charles Settens, Charles Settens, Brian L. DeCost, Aaron G. Kusne, Zhe Liu, Siyu I.P. Tian, Siyu I.P. Tian, Ian Marius Peters, Juan-Pablo Correa-Baena, Tonio Buonassisi, Tonio Buonassisi

Joule | June 2019, Vol 3(6): pp. 1437-1451

DOI Publication

Predicting the Locations of Cryptic Pockets from Single Protein Structures Using the PocketMiner Graph Neural Network

Artur Meller, Michael Ward, Jonathan Borowsky, Jeffrey M. Lotthammer, Meghana Kshirsagar, Felipe Oviedo, Juan M. Lavista Ferres, Gregory R. Bowman

Nature Communications | February 2023

Publication DOI Project

BankNote-Net: Open Dataset for Assistive Universal Currency Recognition

Felipe Oviedo, Srinivas Vinnakota, Eugene Seleznev, Hemant Malhotra, Saqib Shaikh, Juan M. Lavista Ferres

April 2022

Publication PDF Project

DeepDeg: Forecasting and explaining degradation in novel photovoltaics

Felipe Oviedo, David S Hayden, Thomas Heumeuller, Jonas Wortmann, Jose Dario Perea, Richa Naik, Hansong Xue, Juan M. Lavista Ferres, John Fisher III, Christoph J Brabec, Tonio Buonassisi

March 2023

Publication Project

BankNote-Net: Open Dataset for Assistive Universal Currency Recognition

Felipe Oviedo, Srinivas Vinnakota, Eugene Seleznev, Hemant Malhotra, Saqib Shaikh, Juan M. Lavista Ferres

April 2022

Publication PDF Project

HLA-genotype-based Predictive Diagnosis of T-cell Responses to SARS-CoV-2 Infection Powered by Machine Learning

Robert G. Lisziewicz, Felipe Oviedo, Andras G. Szasz, Juan M. Lavista Ferres, Franco Lori, Julianna Lisziewicz

European Society of Medicine | November 2023

Publication PDF DOI Project

Predicting the Locations of Cryptic Pockets from Single Protein Structures Using the PocketMiner Graph Neural Network

Artur Meller, Michael Ward, Jonathan Borowsky, Jeffrey M. Lotthammer, Meghana Kshirsagar, Felipe Oviedo, Juan M. Lavista Ferres, Gregory R. Bowman

Nature Communications | February 2023

Publication DOI Project

An Artificial Intelligence Dataset for Solar Energy Locations in India

Anthony Ortiz, Dhaval Negandhi, Sagar R Mysorekar, Joseph Kiesecker, Shivaprakash K Nagaraju, Caleb Robinson, Priyal Bhatia, Aditi Khurana, Jane Wang, Felipe Oviedo, Juan M. Lavista Ferres

Scientific Data | August 2022, Vol 9(1): pp. 1-13

Publication PDF Project Project Project

Interpretable and Explainable Machine Learning for Materials Science and Chemistry

Felipe Oviedo, Juan M. Lavista Ferres, Tonio Buonassisi, Keith Butler

ACS Publications | June 2022

Publication PDF

How machine learning can help select capping layers to suppress perovskite degradation

Noor Titan Putri Hartono, Janak Thapa, Armi Tiihonen, Felipe Oviedo, Clio Batali, Jason J. Yoo, Zhe Liu, Ruipeng Li, David Fuertes Marrón, Moungi G. Bawendi, Tonio Buonassisi, Shijing Sun

Nature Communications | August 2020, Vol 11(1): pp. 4172-4172

Publication DOI

Accelerated Development of Perovskite-Inspired Materials via High-Throughput Synthesis and Machine-Learning Diagnosis

Shijing Sun, Noor T.P. Hartono, Zekun D. Ren, Zekun D. Ren, Felipe Oviedo, Antonio M. Buscemi, Mariya Layurova, De Xin Chen, Tofunmi Ogunfunmi, Janak Thapa, Savitha Ramasamy, Charles Settens, Charles Settens, Brian L. DeCost, Aaron G. Kusne, Zhe Liu, Siyu I.P. Tian, Siyu I.P. Tian, Ian Marius Peters, Juan-Pablo Correa-Baena, Tonio Buonassisi, Tonio Buonassisi

Joule | June 2019, Vol 3(6): pp. 1437-1451

DOI Publication

Becoming Good at AI for Good

Meghana Kshirsagar, Siyu Yang, Caleb Robinson, Shahrzad Gholami, Ivan Klyuzhin, Sumit Mukherjee, Md Nasir, Anthony Ortiz, Felipe Oviedo, Darren Tanner, Anusua Trivedi, Yixi Xu, Ming Zhong, Bistra Dilkina, Rahul Dodhia, Juan M. Lavista Ferres

AAAI/ACM Conference on AI, Ethics, and Society (AIES'21) | April 2021

Publication

Embedding physics domain knowledge into a Bayesian network enables layer-by-layer process innovation for photovoltaics

Zekun Ren, Zekun Ren, Felipe Oviedo, Maung Thway, Siyu I. P. Tian, Siyu I. P. Tian, Yue Wang, Hansong Xue, Jose Dario Perea, Jose Dario Perea, Mariya Layurova, Thomas Heumueller, Thomas Heumueller, Erik Birgersson, Armin G. Aberle, Christoph J. Brabec, Christoph J. Brabec, Rolf Stangl, Qianxiao Li, Shijing Sun, Fen Lin, Ian Marius Peters, Tonio Buonassisi, Tonio Buonassisi

January 2020

DOI Publication Publication

Fast and interpretable classification of small X-ray diffraction datasets using data augmentation and deep neural networks

Felipe Oviedo, Zekun Ren, Shijing Sun, Charles Settens, Zhe Liu, Noor Titan Putri Hartono, Savitha Ramasamy, Brian L. DeCost, Siyu I. P. Tian, Giuseppe Romano, Aaron Gilad Kusne, Tonio Buonassisi, Tonio Buonassisi

May 2019

DOI Publication Publication Publication