Zobrazeno 1 - 10
of 179
pro vyhledávání: '"Ryan Jacobs"'
Autor:
Md Sariful Sheikh, Lin Lin, Ryan Jacobs, Martin E. Kordesch, Jerzy T. Sadowski, Margaret Charpentier, Dane Morgan, John Booske
Publikováno v:
APL Materials, Vol 12, Iss 6, Pp 061105-061105-8 (2024)
Perovskite SrVO3 has recently been proposed as a novel electron emission cathode material. Density functional theory (DFT) calculations suggest multiple low work function surfaces, and recent experimental efforts have consistently demonstrated effect
Externí odkaz:
https://doaj.org/article/8343e4d3a79d452fa1b0570cfe25fd19
Autor:
Ryan Jacobs, Caron Jacobson
Publikováno v:
Frontiers in Oncology, Vol 14 (2024)
Follicular lymphoma (FL) is the most common indolent non-Hodgkin lymphoma. Significant unmet need remains for patients with relapsed/refractory FL after ≥3 lines of prior therapy. While recent advancements have likely improved the survival of patie
Externí odkaz:
https://doaj.org/article/ac5239a10e9d4bd59ea60b75cc2a5fed
Publikováno v:
Materials & Design, Vol 236, Iss , Pp 112491- (2023)
An essential aspect of extending safe operation of the world’s active nuclear reactors is understanding and predicting the embrittlement that occurs in the steels that make up the Reactor pressure vessel (RPV). In this work we integrate state of th
Externí odkaz:
https://doaj.org/article/a76eac9c47ca4de8911ed4042dea806d
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-13 (2023)
Abstract Accurately quantifying swelling of alloys that have undergone irradiation is essential for understanding alloy performance in a nuclear reactor and critical for the safe and reliable operation of reactor facilities. However, typical practice
Externí odkaz:
https://doaj.org/article/40ad4cf81d914f10b12e851d3af8aed9
Autor:
Ryan Jacobs, Ranjit Nair, Seok-Goo Cho, Sumana Devata, Sameh Gaballa, Dok Hyun Yoon, Don Stevens, Jin Seok Kim, Nirav N Shah, Denise Marie Brennan, Jason Law, Robin Lesley, Rob Chen, Alessandra Forcina, Ben Buelow, Jing-Zhou Hou
Publikováno v:
HemaSphere, Vol 7, p e60614fc (2023)
Externí odkaz:
https://doaj.org/article/89b6f6d3e96a4eb59ded576b91f97b35
Autor:
Glenn Palmer, Siqi Du, Alexander Politowicz, Joshua Paul Emory, Xiyu Yang, Anupraas Gautam, Grishma Gupta, Zhelong Li, Ryan Jacobs, Dane Morgan
Publikováno v:
npj Computational Materials, Vol 8, Iss 1, Pp 1-9 (2022)
Abstract Obtaining accurate estimates of machine learning model uncertainties on newly predicted data is essential for understanding the accuracy of the model and whether its predictions can be trusted. A common approach to such uncertainty quantific
Externí odkaz:
https://doaj.org/article/c8ff8838611448319aa4e6305809ec41
Autor:
Yu-chen Liu, Henry Wu, Tam Mayeshiba, Benjamin Afflerbach, Ryan Jacobs, Josh Perry, Jerit George, Josh Cordell, Jinyu Xia, Hao Yuan, Aren Lorenson, Haotian Wu, Matthew Parker, Fenil Doshi, Alexander Politowicz, Linda Xiao, Dane Morgan, Peter Wells, Nathan Almirall, Takuya Yamamoto, G. Robert Odette
Publikováno v:
npj Computational Materials, Vol 8, Iss 1, Pp 1-11 (2022)
Abstract Irradiation increases the yield stress and embrittles light water reactor (LWR) pressure vessel steels. In this study, we demonstrate some of the potential benefits and risks of using machine learning models to predict irradiation hardening
Externí odkaz:
https://doaj.org/article/68cdcbbe70b94b6dbae6e0c0e68a3e20
Autor:
Joanna Zurko, Jeremy Ramdial, Mazyar Shadman, Sairah Ahmed, Aniko Szabo, Lorenzo Iovino, Ana Alarcon Tomas, Craig Sauter, Miguel-Angel Perales, Nirav. N. Shah, Utkarsh H. Acharya, Caron Jacobson, Robert J. Soiffer, Trent Wang, Krishna V. Komanduri, Samantha Jaglowski, Adam S. Kittai, Nathan Denlinger, Madiha Iqbal, Mohamed A. Kharfan-Dabaja, Ernesto Ayala, Julio Chavez, Michael Jain, Frederick L. Locke, Yazeed Samara, Lihua E. Budde, Matthew G. Mei, Alexandra Della Pia, Tatyana Feldman, Nausheen Ahmed, Ryan Jacobs, Nilanjan Ghosh, Bhagirathbhai Dholaria, Olalekan O. Oluwole, Brian Hess, Ayesha Hassan, Vaishalee P. Kenkre, Patrick Reagan, Farrukh Awan, Yago Nieto, Mehdi Hamadani, Alex F. Herrera
Publikováno v:
Haematologica, Vol 108, Iss 1 (2022)
Allogeneic hematopoietic cell transplantation (alloHCT) can potentially salvage large B-cell lymphoma (LBCL) patients experiencing treatment failure after chimeric antigen receptor T-cell therapy (CAR T). Nonetheless, data on the efficacy and toxicit
Externí odkaz:
https://doaj.org/article/79e2386110cd4911812ba846c2081e54
Autor:
Antonio Cuneo, Anthony R. Mato, Gian Matteo Rigolin, Alfonso Piciocchi, Massimo Gentile, Luca Laurenti, John N. Allan, John M. Pagel, Danielle M. Brander, Brian T. Hill, Allison Winter, Nicole Lamanna, Constantine S. Tam, Ryan Jacobs, Frederick Lansigan, Paul M. Barr, Mazyar Shadman, Alan P. Skarbnik, Jeffrey J. Pu, Alison R. Sehgal, Stephen J. Schuster, Nirav N. Shah, Chaitra S. Ujjani, Lindsey Roeker, Ester Maria Orlandi, Atto Billio, Livio Trentin, Martin Spacek, Monia Marchetti, Alessandra Tedeschi, Fiorella Ilariucci, Gianluca Gaidano, Michael Doubek, Lucia Farina, Stefano Molica, Francesco Di Raimondo, Marta Coscia, Francesca Romana Mauro, Javier de la Serna, Angeles Medina Perez, Isacco Ferrarini, Giuseppe Cimino, Maurizio Cavallari, Rosalba Cucci, Marco Vignetti, Robin Foà, Paolo Ghia, the GIMEMA, European Research Initiative (ERIC) on CLL, US study group
Publikováno v:
Cancer Medicine, Vol 9, Iss 22, Pp 8468-8479 (2020)
Abstract Limited information is available on the efficacy of front‐line bendamustine and rituximab (BR) in chronic lymphocytic leukemia (CLL) with reduced renal function or coexisting conditions. We therefore analyzed a cohort of real‐world patie
Externí odkaz:
https://doaj.org/article/51d4f3af2edb4e18930e0b7ba14d8eff
Publikováno v:
Machine Learning: Science and Technology, Vol 4, Iss 4, p 045060 (2023)
Materials discovery and design typically proceeds through iterative evaluation (both experimental and computational) to obtain data, generally targeting improvement of one or more properties under one or more constraints (e.g. time or budget). Howeve
Externí odkaz:
https://doaj.org/article/49f12f81b3754681aa713d0f5fa64b63