Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

View all journals
Search
Log in

nature
search

Search

Advanced search

Filter By:

Journal Check one or more journals to show results from those journals only.

npj Flexible Electronics (1)
Nature Materials (1)
Nature Nanotechnology (1)
Nature Biotechnology (1)

Choose more journals

Article type Check one or more article types to show results from those article types only.

Research (4)

Subject Check one or more subjects to show results from those subjects only.

Cancer
Computational biology and bioinformatics
Drug discovery
Energy science and technology
Materials science

Date Choose a date option to show results from those dates only.

Today
Last 7 days
Last 30 days
Last 12 months
Last 2 years
Last 5 years

Custom date range

Clear all filters

Sort by:

Relevance

Date published (new to old)

Date published (old to new)

Showing 1–4 of 4 results

Advanced filters: Author: Jichen Fan Clear advanced filters

Composition and phase engineering of metal chalcogenides and phosphorous chalcogenides

A competitive-chemical-reaction-based growth mechanism by controlling the kinetic parameters can easily realize the growth of transition metal chalcogenides and transition metal phosphorous chalcogenides with different compositions and phases.

Jiadong Zhou
Chao Zhu
Zheng Liu
Research23 Jun 2022
Nature Materials

Volume: 22, P: 450-458
Facile fabrication of paper-based flexible thermoelectric generator

Zuoyuan Dong
Hua Liu
Xing Wu
ResearchOpen Access17 Mar 2021
npj Flexible Electronics

Volume: 5, P: 1-6
A charge-driven molecular water pump

Xiaojing Gong
Jingyuan Li
Haiping Fang
Research21 Oct 2007
Nature Nanotechnology

Volume: 2, P: 709-712
A community effort to assess and improve drug sensitivity prediction algorithms

A community of researchers report the lessons learned from applying 44 algorithms to predict drug sensitivity in cancer cell lines using genomic, epigenetic and proteomic datasets

James C Costello
Laura M Heiser
Gustavo Stolovitzky
Research01 Jun 2014
Nature Biotechnology

Volume: 32, P: 1202-1212