Theory-guided metal-decoration of nanoporous carbon for hydrogen storage applications
Sign Up to like & getrecommendations! Published in 2018 at "Surface and Coatings Technology"
DOI: 10.1016/j.surfcoat.2018.07.025
Abstract: Abstract The current paper presents a combined ab initio and experimental study of H 2 adsorption on carbon. Adsorption energetics of a H 2 molecule on pristine graphene were obtained for various molecule orientations, showing… read more here.
Keywords: guided metal; carbon; metal decoration; theory guided ... See more keywords
Theory-guided materials design: two-dimensional MXenes in electro- and photocatalysis
Sign Up to like & getrecommendations! Published in 2019 at "Nanoscale Horizons"
DOI: 10.1039/c9nh00100j
Abstract: A critical review on how theory-guided materials design can enhance MXene based catalyst discovery and development process. read more here.
Keywords: materials design; design two; theory guided; guided materials ... See more keywords
Search for rogue waves in Bose-Einstein condensates via a theory-guided neural network.
Sign Up to like & getrecommendations! Published in 2022 at "Physical review. E"
DOI: 10.1103/physreve.106.025305
Abstract: An important and incompletely answered question is whether machine learning methods can be used to discover the excitation of rogue waves (RWs) in nonlinear systems, especially their dynamic properties and phase transitions. In this work,… read more here.
Keywords: theory; neural network; theory guided; rogue waves ... See more keywords
A Theory-guided Deep Neural Network for Time Domain Electromagnetic Simulation and Inversion Using a Differentiable Programming Platform
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Antennas and Propagation"
DOI: 10.1109/tap.2021.3098585
Abstract: In this communication, a trainable theory-guided recurrent neural network (RNN) equivalent to the finite-difference-time-domain (FDTD) method is exploited to formulate electromagnetic propagation, solve Maxwell’s equations and the inverse problem on differentiable programming platform Pytorch. For… read more here.
Keywords: neural network; programming platform; differentiable programming; theory guided ... See more keywords
Theory-guided experimental design in battery materials research
Sign Up to like & getrecommendations! Published in 2022 at "Science Advances"
DOI: 10.1126/sciadv.abm2422
Abstract: A reliable energy storage ecosystem is imperative for a renewable energy future, and continued research is needed to develop promising rechargeable battery chemistries. To this end, better theoretical and experimental understanding of electrochemical mechanisms and… read more here.
Keywords: materials research; guided experimental; battery; theory guided ... See more keywords