Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Gareth J. Conduit"'
Publikováno v:
Data-Centric Engineering, Vol 4 (2023)
Development of robust concrete mixes with a lower environmental impact is challenging due to natural variability in constituent materials and a multitude of possible combinations of mix proportions. Making reliable property predictions with machine l
Externí odkaz:
https://doaj.org/article/bf308ade944744ce8125f0f2605e53c5
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
Autor:
Stavros X. Drakopoulos, Azarmidokht Gholamipour-Shirazi, Paul MacDonald, Robert C. Parini, Carl D. Reynolds, David L. Burnett, Ben Pye, Kieran B. O’Regan, Guanmei Wang, Thomas M. Whitehead, Gareth J. Conduit, Alexandru Cazacu, Emma Kendrick
Publikováno v:
Cell Reports Physical Science, Vol 2, Iss 12, Pp 100683- (2021)
Summary: Understanding the formulation and manufacturing parameters that lead to higher energy density and longevity is critical to designing energy-dense graphite electrodes for battery applications. A limited dataset that includes 27 different form
Externí odkaz:
https://doaj.org/article/5b61e16bffd2460aabd1030191843fd4
Autor:
Benedict W. J. Irwin, Thomas M. Whitehead, Scott Rowland, Samar Y. Mahmoud, Gareth J. Conduit, Matthew D. Segall
Publikováno v:
Applied AI Letters, Vol 2, Iss 3, Pp n/a-n/a (2021)
Abstract More accurate predictions of the biological properties of chemical compounds would guide the selection and design of new compounds in drug discovery and help to address the enormous cost and low success‐rate of pharmaceutical R&D. However,
Externí odkaz:
https://doaj.org/article/f384054cac4a4b2e820549a881e85aa9
Publikováno v:
PLoS Computational Biology, Vol 16, Iss 10, p e1008275 (2020)
Inconsistent therapeutic efficacy of mesenchymal stem cells (MSCs) in regenerative medicine has been documented in many clinical trials. Precise prediction on the therapeutic outcome of a MSC therapy based on the patient's conditions would provide va
Externí odkaz:
https://doaj.org/article/de4a87b4b0d7465a9793a7c16a405388