Zobrazeno 1 - 10
of 260
pro vyhledávání: '"Hummelshøj, P"'
Autor:
Andersen, Casper W., Armiento, Rickard, Blokhin, Evgeny, Conduit, Gareth J., Dwaraknath, Shyam, Evans, Matthew L., Fekete, Ádám, Gopakumar, Abhijith, Gražulis, Saulius, Merkys, Andrius, Mohamed, Fawzi, Oses, Corey, Pizzi, Giovanni, Rignanese, Gian-Marco, Scheidgen, Markus, Talirz, Leopold, Toher, Cormac, Winston, Donald, Aversa, Rossella, Choudhary, Kamal, Colinet, Pauline, Curtarolo, Stefano, Di Stefano, Davide, Draxl, Claudia, Er, Suleyman, Esters, Marco, Fornari, Marco, Giantomassi, Matteo, Govoni, Marco, Hautier, Geoffroy, Hegde, Vinay, Horton, Matthew K., Huck, Patrick, Huhs, Georg, Hummelshøj, Jens, Kariryaa, Ankit, Kozinsky, Boris, Kumbhar, Snehal, Liu, Mohan, Marzari, Nicola, Morris, Andrew J., Mostofi, Arash, Persson, Kristin A., Petretto, Guido, Purcell, Thomas, Ricci, Francesco, Rose, Frisco, Scheffler, Matthias, Speckhard, Daniel, Uhrin, Martin, Vaitkus, Antanas, Villars, Pierre, Waroquiers, David, Wolverton, Chris, Wu, Michael, Yang, Xiaoyu
Publikováno v:
Sci Data 8, 217 (2021)
The Open Databases Integration for Materials Design (OPTIMADE) consortium has designed a universal application programming interface (API) to make materials databases accessible and interoperable. We outline the first stable release of the specificat
Externí odkaz:
http://arxiv.org/abs/2103.02068
Autor:
Krishnapriyan, Aditi S., Montoya, Joseph, Haranczyk, Maciej, Hummelshøj, Jens, Morozov, Dmitriy
Machine learning has emerged as a powerful approach in materials discovery. Its major challenge is selecting features that create interpretable representations of materials, useful across multiple prediction tasks. We introduce an end-to-end machine
Externí odkaz:
http://arxiv.org/abs/2010.00532
Akademický článek
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Autor:
Aykol, Muratahan, Hegde, Vinay I., Hung, Linda, Suram, Santosh, Herring, Patrick, Wolverton, Chris, Hummelshøj, Jens S.
Publikováno v:
Nature Communications 10, 2018 (2019)
Assessing the synthesizability of inorganic materials is a grand challenge for accelerating their discovery using computations. Synthesis of a material is a complex process that depends not only on its thermodynamic stability with respect to others,
Externí odkaz:
http://arxiv.org/abs/1806.05772
Autor:
Steven B. Torrisi, Martin Z. Bazant, Alexander E. Cohen, Min Gee Cho, Jens S. Hummelshøj, Linda Hung, Gaurav Kamat, Arash Khajeh, Adeesh Kolluru, Xiangyun Lei, Handong Ling, Joseph H. Montoya, Tim Mueller, Aini Palizhati, Benjamin A. Paren, Brandon Phan, Jacob Pietryga, Elodie Sandraz, Daniel Schweigert, Yang Shao-Horn, Amalie Trewartha, Ruijie Zhu, Debbie Zhuang, Shijing Sun
Publikováno v:
APL Machine Learning, Vol 1, Iss 2, Pp 020901-020901-11 (2023)
Machine learning (ML) is gaining popularity as a tool for materials scientists to accelerate computation, automate data analysis, and predict materials properties. The representation of input material features is critical to the accuracy, interpretab
Externí odkaz:
https://doaj.org/article/365358503b2c467dbae43bc88f59b30b
Autor:
Aini Palizhati, Steven B. Torrisi, Muratahan Aykol, Santosh K. Suram, Jens S. Hummelshøj, Joseph H. Montoya
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-13 (2022)
Abstract Sequential learning for materials discovery is a paradigm where a computational agent solicits new data to simultaneously update a model in service of exploration (finding the largest number of materials that meet some criteria) or exploitat
Externí odkaz:
https://doaj.org/article/44fdc6a6728f43ec91758e5db3bb9303
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
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Autor:
Nynne Emilie Hummelshøj, Gitte Dam, Lars Henning Pedersen, Astrid Hjelholt, Gerda Elisabeth Villadsen
Publikováno v:
Endocrinology, Diabetes & Metabolism Case Reports, Vol 1, Iss 1, Pp 1-5 (2021)
This rare case describes the course of a pregnancy in a patient with a disseminated small intestinal neuroendocrine tumor. The patient received treatment with first-generation somatostatin ligand receptor (SLR) every 4 weeks and had stable disease fo
Externí odkaz:
https://doaj.org/article/ec3bf616e336443c9ab47ca6954fcb39
Autor:
Luca Ferrari, Stefano Morgione, Dominik Rutz, Rita Mergner, Borna Doračić, Reto M. Hummelshøj, Sebastian Grimm, Anes Kazagic, Ajla Merzic, Aksana Krasatsenka, Simone Rossi, Thomas Pauschinger, Audrone Nakrosiene, Elena Pumputienė, Matteo Pozzi
Publikováno v:
Energy Reports, Vol 7, Iss , Pp 359-367 (2021)
District Heating Systems have a great role to play in achieving increasingly challenging EU and global climate goals, thus improving performance and further development of existing large and small systems across Europe, often far from state-of-the-ar
Externí odkaz:
https://doaj.org/article/7e4e77f89a904d439f5a3a6642daf003
Autor:
Casper W. Andersen, Rickard Armiento, Evgeny Blokhin, Gareth J. Conduit, Shyam Dwaraknath, Matthew L. Evans, Ádám Fekete, Abhijith Gopakumar, Saulius Gražulis, Andrius Merkys, Fawzi Mohamed, Corey Oses, Giovanni Pizzi, Gian-Marco Rignanese, Markus Scheidgen, Leopold Talirz, Cormac Toher, Donald Winston, Rossella Aversa, Kamal Choudhary, Pauline Colinet, Stefano Curtarolo, Davide Di Stefano, Claudia Draxl, Suleyman Er, Marco Esters, Marco Fornari, Matteo Giantomassi, Marco Govoni, Geoffroy Hautier, Vinay Hegde, Matthew K. Horton, Patrick Huck, Georg Huhs, Jens Hummelshøj, Ankit Kariryaa, Boris Kozinsky, Snehal Kumbhar, Mohan Liu, Nicola Marzari, Andrew J. Morris, Arash A. Mostofi, Kristin A. Persson, Guido Petretto, Thomas Purcell, Francesco Ricci, Frisco Rose, Matthias Scheffler, Daniel Speckhard, Martin Uhrin, Antanas Vaitkus, Pierre Villars, David Waroquiers, Chris Wolverton, Michael Wu, Xiaoyu Yang
Publikováno v:
Scientific Data, Vol 8, Iss 1, Pp 1-10 (2021)
Abstract The Open Databases Integration for Materials Design (OPTIMADE) consortium has designed a universal application programming interface (API) to make materials databases accessible and interoperable. We outline the first stable release of the s
Externí odkaz:
https://doaj.org/article/195f6a32cdad4e099318119238e9d978