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Currently displaying 4761 - 4780 of 29853 publications

Living with our machines: Towards a more sustainable future

SV Ley, Y Chen, DE Fitzpatrick, OS May

Current Opinion in Green and Sustainable Chemistry

(2020)

100353

(doi: 10.1016/j.cogsc.2020.100353)

matador: a Python library for analysing, curating and performing high-throughput density-functional theory calculations

M Evans, A Morris

Journal of Open Source Software

(2020)

2563

(doi: 10.21105/joss.02563)

Fast spin-flip enables efficient and stable organic electroluminescence from charge-transfer states

LS Cui, AJ Gillett, SF Zhang, H Ye, Y Liu, XK Chen, ZS Lin, EW Evans, WK Myers, TK Ronson, H Nakanotani, S Reineke, JL Bredas, C Adachi, RH Friend

Nature Photonics

(2020)

636

(doi: 10.1038/s41566-020-0668-z)

Breaking Down Barriers and Borrowing from Biology

T Sturgeon

Johnson Matthey Technology Review

(2020)

394

(doi: 10.1595/205651320x15954136194837)

Nanoscale adhesion profiling and membrane characterisation in sickle cell disease using hybrid atomic force microscopy-IR spectroscopy.

AP Fellows, MTL Casford, PB Davies, JS Gibson, JN Brewin, DC Rees

Colloids and surfaces. B, Biointerfaces

(2020)

197

111383

(doi: 10.1016/j.colsurfb.2020.111383)

The confined self-assembly of photonic pigments: from synthetic polymer brushes to sustainable cellulosic colloids

T Zhao

(2020)

(doi: 10.17863/CAM.77101)

The role of fibril structure and surface hydrophobicity in secondary nucleation of amyloid fibrils

D Thacker, K Sanagavarapu, B Frohm, G Meisl, TPJ Knowles, S Linse

Proceedings of the National Academy of Sciences of the United States of America

(2020)

117

25272

(doi: 10.1073/pnas.2002956117)

Unlocking the Full Evolutionary Potential of Artificial Metalloenzymes Through Direct Metal-Protein Coordination

GS Biggs, OJ Klein, SR Boss, PD Barker

Johnson Matthey Technology Review

(2020)

407

(doi: 10.1595/205651320x15928204097766)

Vacancy formation energy and its connection with bonding environment in solid: A high-throughput calculation and machine learning study

Y Cheng, L Zhu, G Wang, J Zhou, SR Elliott, Z Sun

Computational Materials Science

(2020)

183

109803

(doi: 10.1016/j.commatsci.2020.109803)

Gausemycins A,B – Cyclic Lipoglycopeptides from Streptomyces Sp.

A Tyurin, V Alferova, A Paramonov, M Shuvalov, G Kudryakova, E Rogozhin, A Zherebker, V Brylev, A Chistov, A Baranova, M Biryukov, I Ivanov, I Prokhorenko, N Grammatikova, T Kravchenko, E Isakova, E Mirchink, E Gladkikh, E Svirshchevskaya, A Mardanov, A Beletsky, M Kocharovskaya, V Kulyaeva, A Shashkov, D Tsvetkov, N Nifantiev, A Apt, K Majorov, S Efimova, N Ravin, E Nikolaev, O Ostroumova, G Katrukha, O Lapchinskaya, O Dontsova, S Terekhov, I Osterman, Z Shenkarev, V Korshun

(2020)

(doi: 10.26434/chemrxiv.13012814.v1)

New Strategies in Radical Chemistry and Their Application to the Construction of C(sp3)–C(sp3) Bonds in the Giese Reaction

S Mistry

(2020)

(doi: 10.17863/CAM.68792)

Striving for an Optimal Entry into the Chemical & Pharmaceutical Job Market

R Dubey, A Gimpel, K Zouboulis, M Böcker

Chimia

(2020)

737

(doi: 10.2533/chimia.2020.737)