Concepedia

Towards the digitalisation of porous energy materials: evolution of digital approaches for microstructural design

Zhiqiang Niu, Valerie J. Pinfield, Billy Wu, Huizhi Wang, Kui Jiao, Dennis Y.C. Leung, Jin Xuan

Energy & Environmental Science · 2021 · 58 citations · 222 references

Open access

Abstract

The digital transformation empowered by artificial intelligence will create huge opportunities for the porous energy materials research community.

References

222

Ror2 signaling regulates Golgi structure and transport through IFT20 for tumor invasiveness

Michiru Nishita, Seung‐Yeol Park, Tadashi Nishio et al. · Scientific Reports · 2017 · 15.8K citations · Full text

Tumor Invasiveness, Cytoskeleton, Cancer Biology +20

Advances in Neural Information Processing Systems 28

Peter Flach, Meelis Kull · 2015 · 14.6K citations

Intelligent Information Processing, Computational Neuroscience, Computer Science +2

Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations

Maziar Raissi, Paris Perdikaris, George Em Karniadakis · Journal of Computational Physics · 2018 · 14.4K citations · Full text

Engineering, Pde-constrained Optimization, Deep Learning Framework +6

Commentary: The Materials Project: A materials genome approach to accelerating materials innovation

Anubhav Jain, Shyue Ping Ong, Geoffroy Hautier et al. · APL Materials · 2013 · 11.9K citations · Full text

Occurrence of the potent mutagens 2- nitrobenzanthrone and 3-nitrobenzanthrone in fine airborne particles

Aldenor Gomes Santos, Gisele O. da Rocha, Jaílson B. de Andrade · Scientific Reports · 2019 · 8.4K citations · Full text