Ontology type: schema:ScholarlyArticle Open Access: True
2019-12
AUTHORSWeili An, Biao Gao, Shixiong Mei, Ben Xiang, Jijiang Fu, Lei Wang, Qiaobao Zhang, Paul K. Chu, Kaifu Huo
ABSTRACTAlthough silicon is a promising anode material for lithium-ion batteries, scalable synthesis of silicon anodes with good cyclability and low electrode swelling remains a significant challenge. Herein, we report a scalable top-down technique to produce ant-nest-like porous silicon from magnesium-silicon alloy. The ant-nest-like porous silicon comprising three-dimensional interconnected silicon nanoligaments and bicontinuous nanopores can prevent pulverization and accommodate volume expansion during cycling resulting in negligible particle-level outward expansion. The carbon-coated porous silicon anode delivers a high capacity of 1,271 mAh g-1 at 2,100 mA g-1 with 90% capacity retention after 1,000 cycles and has a low electrode swelling of 17.8% at a high areal capacity of 5.1 mAh cm-2. The full cell with the prelithiated silicon anode and Li(Ni1/3Co1/3Mn1/3)O2 cathode boasts a high energy density of 502 Wh Kg-1 and 84% capacity retention after 400 cycles. This work provides insights into the rational design of alloy anodes for high-energy batteries. More... »
PAGES1447
http://scigraph.springernature.com/pub.10.1038/s41467-019-09510-5
DOIhttp://dx.doi.org/10.1038/s41467-019-09510-5
DIMENSIONShttps://app.dimensions.ai/details/publication/pub.1113057360
PUBMEDhttps://www.ncbi.nlm.nih.gov/pubmed/30926799
JSON-LD is the canonical representation for SciGraph data.
TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT
[
{
"@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json",
"about": [
{
"id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0912",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Materials Engineering",
"type": "DefinedTerm"
},
{
"id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/09",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Engineering",
"type": "DefinedTerm"
}
],
"author": [
{
"affiliation": {
"alternateName": "Huazhong University of Science and Technology",
"id": "https://www.grid.ac/institutes/grid.33199.31",
"name": [
"The State Key Laboratory of Refractories and Metallurgy and Institute of Advanced Materials and Nanotechnology, Wuhan University of Science and Technology, 430081, Wuhan, China",
"Wuhan National Laboratory for Optoelectronics (WNLO), Huazhong University of Science and Technology, 430074, Wuhan, China"
],
"type": "Organization"
},
"familyName": "An",
"givenName": "Weili",
"type": "Person"
},
{
"affiliation": {
"alternateName": "City University of Hong Kong",
"id": "https://www.grid.ac/institutes/grid.35030.35",
"name": [
"The State Key Laboratory of Refractories and Metallurgy and Institute of Advanced Materials and Nanotechnology, Wuhan University of Science and Technology, 430081, Wuhan, China",
"Department of Physics and Department of Materials Science and Engineering, City University of Hong Kong, Tat Chee Avenue, 999077, Kowloon, Hong Kong, China"
],
"type": "Organization"
},
"familyName": "Gao",
"givenName": "Biao",
"type": "Person"
},
{
"affiliation": {
"alternateName": "Wuhan University of Science and Technology",
"id": "https://www.grid.ac/institutes/grid.412787.f",
"name": [
"The State Key Laboratory of Refractories and Metallurgy and Institute of Advanced Materials and Nanotechnology, Wuhan University of Science and Technology, 430081, Wuhan, China"
],
"type": "Organization"
},
"familyName": "Mei",
"givenName": "Shixiong",
"type": "Person"
},
{
"affiliation": {
"alternateName": "Wuhan University of Science and Technology",
"id": "https://www.grid.ac/institutes/grid.412787.f",
"name": [
"The State Key Laboratory of Refractories and Metallurgy and Institute of Advanced Materials and Nanotechnology, Wuhan University of Science and Technology, 430081, Wuhan, China"
],
"type": "Organization"
},
"familyName": "Xiang",
"givenName": "Ben",
"type": "Person"
},
{
"affiliation": {
"alternateName": "Wuhan University of Science and Technology",
"id": "https://www.grid.ac/institutes/grid.412787.f",
"name": [
"The State Key Laboratory of Refractories and Metallurgy and Institute of Advanced Materials and Nanotechnology, Wuhan University of Science and Technology, 430081, Wuhan, China"
],
"type": "Organization"
},
"familyName": "Fu",
"givenName": "Jijiang",
"type": "Person"
},
{
"affiliation": {
"alternateName": "Huazhong University of Science and Technology",
"id": "https://www.grid.ac/institutes/grid.33199.31",
"name": [
"Wuhan National Laboratory for Optoelectronics (WNLO), Huazhong University of Science and Technology, 430074, Wuhan, China"
],
"type": "Organization"
},
"familyName": "Wang",
"givenName": "Lei",
"type": "Person"
},
{
"affiliation": {
"alternateName": "Xiamen University",
"id": "https://www.grid.ac/institutes/grid.12955.3a",
"name": [
"Department of Materials Science and Engineering, College of Materials, Xiamen University, 361005, Xiamen, Fujian, China"
],
"type": "Organization"
},
"familyName": "Zhang",
"givenName": "Qiaobao",
"type": "Person"
},
{
"affiliation": {
"alternateName": "City University of Hong Kong",
"id": "https://www.grid.ac/institutes/grid.35030.35",
"name": [
"Department of Physics and Department of Materials Science and Engineering, City University of Hong Kong, Tat Chee Avenue, 999077, Kowloon, Hong Kong, China"
],
"type": "Organization"
},
"familyName": "Chu",
"givenName": "Paul K.",
"type": "Person"
},
{
"affiliation": {
"alternateName": "Huazhong University of Science and Technology",
"id": "https://www.grid.ac/institutes/grid.33199.31",
"name": [
"Wuhan National Laboratory for Optoelectronics (WNLO), Huazhong University of Science and Technology, 430074, Wuhan, China"
],
"type": "Organization"
},
"familyName": "Huo",
"givenName": "Kaifu",
"type": "Person"
}
],
"citation": [
{
"id": "https://doi.org/10.1016/j.nanoen.2016.04.043",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1000977540"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1002/adfm.201403629",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1001794308"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/nnano.2014.6",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1003314836",
"https://doi.org/10.1038/nnano.2014.6"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1039/c3ta14100d",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1004671522"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1002/anie.200704287",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1005211033"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/451652a",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1007137639",
"https://doi.org/10.1038/451652a"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/nenergy.2015.29",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1007710802",
"https://doi.org/10.1038/nenergy.2015.29"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1039/c5ee01493j",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1011282661"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/ncomms9844",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1014880966",
"https://doi.org/10.1038/ncomms9844"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1002/aenm.201601481",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1016873658"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1039/c3ee41318g",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1017687219"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.jpowsour.2016.09.096",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1018669847"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.jpowsour.2016.09.096",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1018669847"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.jpowsour.2016.09.096",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1018669847"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.jpowsour.2016.09.096",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1018669847"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1002/aenm.201200857",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1021008593"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1039/c5ee01363a",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1023909666"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1002/aenm.201100765",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1025871633"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1021/acsnano.5b02565",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1026739779"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1126/science.1209150",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1026807668"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1149/1.2752985",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1027502264"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1149/1.1739217",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1029933783"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1002/adma.201301795",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1030604673"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.jmps.2011.06.003",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1030792637"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.jpowsour.2010.06.108",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1031889012"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1002/adma.201401937",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1032015495"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/ncomms5105",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1037869964",
"https://doi.org/10.1038/ncomms5105"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1039/c6ee00023a",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1046364952"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.2109/jcersj.105.934",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1048116601"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1021/nn204476h",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1049264626"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/nnano.2012.35",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1050288514",
"https://doi.org/10.1038/nnano.2012.35"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1039/c6ee02685k",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1050525130"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/nmat2725",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1053357993",
"https://doi.org/10.1038/nmat2725"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/nmat2725",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1053357993",
"https://doi.org/10.1038/nmat2725"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1021/am500855a",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1055145316"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1021/ja110522x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1055849084"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1021/ja110522x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1055849084"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1021/nl3044508",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1056219854"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1021/nl401836c",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1056220168"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1021/nl403231v",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1056220374"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1021/nl501500g",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1056220815"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1002/aenm.201700071",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1085049854"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1021/acsnano.7b01185",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1085371193"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1021/acsami.7b03157",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1085467148"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/nenergy.2017.91",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1085865484",
"https://doi.org/10.1038/nenergy.2017.91"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/nenergy.2017.91",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1085865484",
"https://doi.org/10.1038/nenergy.2017.91"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1002/aenm.201701083",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1090851050"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.joule.2017.07.006",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1091492926"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.nanoen.2017.10.050",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1092326721"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.nanoen.2017.10.050",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1092326721"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1002/adfm.201704858",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1093027034"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1039/c7ta09042k",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1100270316"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1039/c8ee00239h",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1100685346"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1039/c8ta01471j",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1101771335"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1021/acsnano.8b01129",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1101829936"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1021/acsnano.8b01129",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1101829936"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1021/acsnano.8b01129",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1101829936"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.ensm.2018.03.025",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1101886382"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.ensm.2018.03.025",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1101886382"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/s41560-018-0107-2",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1103236475",
"https://doi.org/10.1038/s41560-018-0107-2"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1021/acsnano.8b02219",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1103593692"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.nanoen.2018.05.048",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1104126109"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.nanoen.2018.05.048",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1104126109"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.nanoen.2018.05.048",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1104126109"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.nanoen.2018.05.048",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1104126109"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.nanoen.2018.05.048",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1104126109"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1021/jacs.8b03408",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1105315890"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1002/9783527650408",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1109507290"
],
"type": "CreativeWork"
}
],
"datePublished": "2019-12",
"datePublishedReg": "2019-12-01",
"description": "Although silicon is a promising anode material for lithium-ion batteries, scalable synthesis of silicon anodes with good cyclability and low electrode swelling remains a significant challenge. Herein, we report a scalable top-down technique to produce ant-nest-like porous silicon from magnesium-silicon alloy. The ant-nest-like porous silicon comprising three-dimensional interconnected silicon nanoligaments and bicontinuous nanopores can prevent pulverization and accommodate volume expansion during cycling resulting in negligible particle-level outward expansion. The carbon-coated porous silicon anode delivers a high capacity of 1,271 mAh g-1 at 2,100\u2009mA\u2009g-1 with 90% capacity retention after 1,000 cycles and has a low electrode swelling of 17.8% at a high areal capacity of 5.1 mAh cm-2. The full cell with the prelithiated silicon anode and Li(Ni1/3Co1/3Mn1/3)O2 cathode boasts a high energy density of 502\u2009Wh Kg-1 and 84% capacity retention after 400 cycles. This work provides insights into the rational design of alloy anodes for high-energy batteries.",
"genre": "research_article",
"id": "sg:pub.10.1038/s41467-019-09510-5",
"inLanguage": [
"en"
],
"isAccessibleForFree": true,
"isFundedItemOf": [
{
"id": "sg:grant.7426832",
"type": "MonetaryGrant"
}
],
"isPartOf": [
{
"id": "sg:journal.1043282",
"issn": [
"2041-1723"
],
"name": "Nature Communications",
"type": "Periodical"
},
{
"issueNumber": "1",
"type": "PublicationIssue"
},
{
"type": "PublicationVolume",
"volumeNumber": "10"
}
],
"name": "Scalable synthesis of ant-nest-like bulk porous silicon for high-performance lithium-ion battery anodes",
"pagination": "1447",
"productId": [
{
"name": "doi",
"type": "PropertyValue",
"value": [
"10.1038/s41467-019-09510-5"
]
},
{
"name": "readcube_id",
"type": "PropertyValue",
"value": [
"a46cd1c54a8490544a557e28408dece1bfbc5526593bb8949e119ce4f89c0563"
]
},
{
"name": "dimensions_id",
"type": "PropertyValue",
"value": [
"pub.1113057360"
]
},
{
"name": "nlm_unique_id",
"type": "PropertyValue",
"value": [
"101528555"
]
},
{
"name": "pubmed_id",
"type": "PropertyValue",
"value": [
"30926799"
]
}
],
"sameAs": [
"https://doi.org/10.1038/s41467-019-09510-5",
"https://app.dimensions.ai/details/publication/pub.1113057360"
],
"sdDataset": "articles",
"sdDatePublished": "2019-04-15T09:17",
"sdLicense": "https://scigraph.springernature.com/explorer/license/",
"sdPublisher": {
"name": "Springer Nature - SN SciGraph project",
"type": "Organization"
},
"sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000376_0000000376/records_56171_00000006.jsonl",
"type": "ScholarlyArticle",
"url": "https://www.nature.com/articles/s41467-019-09510-5"
}
]Download the RDF metadata as: json-ld nt turtle xml License info
JSON-LD is a popular format for linked data which is fully compatible with JSON.
curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1038/s41467-019-09510-5'
N-Triples is a line-based linked data format ideal for batch operations.
curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1038/s41467-019-09510-5'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/s41467-019-09510-5'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/s41467-019-09510-5'
This table displays all metadata directly associated to this object as RDF triples.
299 TRIPLES
21 PREDICATES
83 URIs
21 LITERALS
9 BLANK NODES