User profiles for M. Nickel

Meng Ni

- Verified email at polyu.edu.hk - Cited by 29430

Maximilian Nickel

- Verified email at meta.com - Cited by 10565

Ming Ni

- Verified email at genscript.com - Cited by 3010

A review and recent developments in photocatalytic water-splitting using TiO2 for hydrogen production

M Ni, MKH Leung, DYC Leung, K Sumathy - Renewable and Sustainable …, 2007 - Elsevier
… using transitional metal ions (Fe, Co, Ni, Cu and Zn) doped WO 3 … Doping of 1% and 10%
Ni ions exhibited the highest … oxidation degradation than doping of Ni ions. The discrepancy …

A review on reforming bio-ethanol for hydrogen production

M Ni, DYC Leung, MKH Leung - International Journal of Hydrogen Energy, 2007 - Elsevier
Ni / Al 2 O 3 catalyst prepared by coprecipitation and precipitation methods. For comparison,
Ni loading did not show noticeable effect on Ni / Al … by coprecipitation with Ni loading of 15% …

An overview of hydrogen production from biomass

M Ni, DYC Leung, MKH Leung, K Sumathy - Fuel processing technology, 2006 - Elsevier
… [77] investigated the indirect biophotolysis with Cyanobacterium anabaena variabilis exposed
to light intensities of 45–55 μmol − 1 m − 2 and 170–180 μmol − 1 m − 2 in the first stage …

[PDF][PDF] A three-way model for collective learning on multi-relational data.

M Nickel, V Tresp, HP Kriegel - Icml, 2011 - cip.ifi.lmu.de
Nickel, Tresp, Kriegel … Nickel, Tresp, Kriegel … Code available at http://www.cip.ifi.lmu.de/~nickel

A review of relational machine learning for knowledge graphs

M Nickel, K Murphy, V Tresp… - Proceedings of the …, 2015 - ieeexplore.ieee.org
Relational machine learning studies methods for the statistical analysis of relational, or
graph-structured, data. In this paper, we provide a review of how such statistical models can be “…

Holographic embeddings of knowledge graphs

M Nickel, L Rosasco, T Poggio - Proceedings of the AAAI conference on …, 2016 - ojs.aaai.org
Learning embeddings of entities and relations is an efficient and versatile method to perform
machine learning on relational data such as knowledge graphs. In this work, we propose …

Heavy metal water pollution: A fresh look about hazards, novel and conventional remediation methods

…, F Figueroa, E Zamora-Ledezma, M Ni… - … Technology & Innovation, 2021 - Elsevier
Water pollution is one of the global challenges that society must address in the 21st century
aiming to improve water quality and reduce human and ecosystem health impacts. …

In-situ growth of Co3O4 nanowire-assembled clusters on nickel foam for aqueous rechargeable Zn-Co3O4 and Zn-air batteries

P Tan, B Chen, H Xu, W Cai, W He, M Ni - Applied Catalysis B …, 2019 - Elsevier
… nanowire-assembled clusters on nickel foam (Co 3 O 4 /Ni foam) The Co 3 O 4 /Ni foam was
… A piece of nickel foam was first put in a 3.0 M HCl solution and ultrasonic cleaned for 10 min …

Poincaré embeddings for learning hierarchical representations

M Nickel, D Kiela - Advances in neural information …, 2017 - proceedings.neurips.cc
Abstract Representation learning has become an invaluable approach for learning from
symbolic data such as text and graphs. However, state-of-the-art embedding methods typically …

Flow matching for generative modeling

…, RTQ Chen, H Ben-Hamu, M Nickel, M Le - arXiv preprint arXiv …, 2022 - arxiv.org
We introduce a new paradigm for generative modeling built on Continuous Normalizing
Flows (CNFs), allowing us to train CNFs at unprecedented scale. Specifically, we present the …