Ino-Flex: Enabling ultra-large area ultra-parallel roll-to-roll transfer printing of high performance flexible inorganic semiconductor devices

Ino-Flex:实现高性能柔性无机半导体器件的超大面积超并行卷对卷转印

基本信息

  • 批准号:
    EP/V051792/1
  • 负责人:
  • 金额:
    $ 32.23万
  • 依托单位:
  • 依托单位国家:
    英国
  • 项目类别:
    Research Grant
  • 财政年份:
    2021
  • 资助国家:
    英国
  • 起止时间:
    2021 至 无数据
  • 项目状态:
    未结题

项目摘要

This project seeks to develop a new high volume manufacturing process that will enable high performance semiconductor devices to be integrated into a wide range of flexible products. This approach is based on transfer printing where ultra-thin semiconductor devices are removed from the original wafer and precisely transferred onto large scale flexible substrates. In order to significantly reduce the cost of fabricated products, this novel process allows for integration in to large scale roll-to-roll printing processes. A range of strategies including thermal and kinetic control mechanisms will be implemented within the new print system. This will allow for selective control of adhesion between the devices and the roller, enabling large numbers of semiconductor devices to be picked from their substrates in parallel by a roller and printed onto a continuously moving flexible rolled substrate. This process has the potential to be combined with well-established printing processes to allow high performance inorganic semiconductor devices to be integrated with other materials including organic semiconductors and fabrics. The use of high performance inorganic semiconductor materials that are usually mechanically inflexible due to their brittle wafer substrates, opens the door to a wide range of new and emerging smart technologies including high performance displays (both large scale and small scale for VR/AR), wearables, smart clothing and bio-technologies such as low cost health monitoring. Following the development of a prototype roll-to-roll transfer printing system, a range of devices will be integrated into flexible, large area substrates including optical and electronic components. These will be used to demonstrate the transformative potential of this manufacturing technique in a variety of new and emerging products.
该项目旨在开发一种新的大批量制造工艺,使高性能半导体器件能够集成到各种灵活的产品中。这种方法基于转移印刷,将超薄半导体器件从原始晶圆上移除并精确地转移到大规模柔性基板上。为了显着降低制造产品的成本,这种新颖的工艺可以集成到大规模卷对卷印刷工艺中。新的打印系统将实施一系列策略,包括热和动力学控制机制。这将允许选择性地控制器件和滚筒之间的粘附力,从而能够通过滚筒从其基板上平行拾取大量半导体器件,并将其印刷到连续移动的柔性卷状基板上。该工艺有可能与成熟的印刷工艺相结合,使高性能无机半导体器件能够与包括有机半导体和织物在内的其他材料集成。高性能无机半导体材料因其易碎的晶圆基板而通常在机械上不灵活,其使用为各种新兴智能技术打开了大门,包括高性能显示器(用于 VR/AR 的大型和小型显示器)、可穿戴设备、智能服装和低成本健康监测等生物技术。随着卷对卷转印系统原型的开发,一系列设备将被集成到柔性大面积基材中,包括光学和电子元件。这些将用于展示这种制造技术在各种新兴产品中的变革潜力。

项目成果

期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

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Richard Smith其他文献

Cognitive-Affective Stress Management Training with High Performance Youth Volleyball Players: Effects on Affect, Cognition, and Performance
高水平青少年排球运动员的认知情感压力管理训练:对情感、认知和表现的影响
  • DOI:
    10.1123/jsep.10.4.448
  • 发表时间:
    1988
  • 期刊:
  • 影响因子:
    0
  • 作者:
    P. Crocker;Rikk B. Alderman;F. Murray;Richard Smith
  • 通讯作者:
    Richard Smith
The HOPE (Heart Outcomes Prevention Evaluation) Study: the design of a large, simple randomized trial of an angiotensin-converting enzyme inhibitor (ramipril) and vitamin E in patients at high risk of cardiovascular events. The HOPE study investigators.
HOPE(心脏结果预防评估)研究:针对心血管事件高危患者设计了一项针对血管紧张素转换酶抑制剂(雷米普利)和维生素 E 的大型、简单随机试验。
  • DOI:
    10.1016/s0304-3975(03)00090-2
  • 发表时间:
    1996
  • 期刊:
  • 影响因子:
    0
  • 作者:
    F. Mindlen;R. Nordaby;M. Ruiz;A. Zavala;L. Guzman;F. Martinez;R. Diaz;C. Mackey;M. Marino;G. Romero;G. Zapata;C. Cuneo;T. Kawamura;O. Coelho;O. Massayochi;J. Braga;A. Labrunie;L. Bodanese;E. Manenti;D. Vitola;J. Nicolau;C. Amodeo;D. Armaganijan;M. Bertolami;B. Caramelli;A. Carvalho;C. Cirenza;M. Fichino;R. Franken;N. Ghorayeb;T. Kadri;P. Leão;F. Malheiros;R. Pavanello;F. Ramires;J. Ramires;F. Savioli;A. Sousa;L. Tanajura;D. Topps;L. Korner;Martínez;B. Baptie;M. Basinger;B. Baylis;P. Beresford;A. Edwards;P. Giannaccaro;Y. Groenewoud;M. Grose;J. Kellen;S. Lam;R. Lesoway;P. Ma;D. Meldrum;D. Mitchell;L. Mitchell;D. Roth;S. Shumak;M. Simon;J. Stone;W. Warnica;D. Wyse;C. Neffgen;J. Neffgen;F. Armstrong;W. Armstrong;N. Bell;W. Black;N. Brass;F. Brenneis;R. Brownoff;G. Chaytors;D. Debanne;C. Derksen;M. Donoff;Dzavik;M. Goeres;P. Greenwood;S. Gulamhusein;W. Hui;K. Hutchison;L. Kasian;L. Kasza;E. Krikke;L. Kvill;Z. Lakhani;D. Linklater;J. Mackel;S. Martin;T. Montague;D. Moores;A. Musseau;T. Muzyka;J. Paradis;A. Prosser;E. Ryan;M. Senaratne;P. Stenerson;T. Talibi;K. Teo;C. Young;Zuk;Roseann M. White;K. Browne;M. Browne;K. Happel;A. Irving;A. Plesko;R. Donnelly;N. Radomsky;P. Felker;D. Larsen;J. Morse;C. Rowntree;J. Thompson;R. Wedel;G. Bloomberg;G. Chomin;M. Dahl;W. Leong;Moy;J. Heath;J. Marshall;M. Terwiel;G. Kenefick;R. Kuritzky;K. Stevens;K. Weddings;K. Barban;Imrie;K. Woo;T. Ashton;K. Calvert;W. Bishop;R. Sweeney;L. Breakwell;J. Kornder;S. Pearce;P. Polasek;P. Richardson;S. Ghosh;M. Rielly;K. Wagner;Bemstein;K. Dawson;P. Lee;J. Lewis;K. MacDonald;L. McGee;C. Thompson;D. Hilton;K. Illott;P. Klinke;J. Mcconnell;S. Rabkin;A. Ong;G. Ong;D. Bedard;R. Hoeschen;P. Mehta;Mohammad;A. Morris;R. Bessoudo;N. Dobbins;L. McLellan;Milton;R. Davis;D. OKeefe;Richard Smith;C. Joyce;M. Parsons;J. Skanes;B. Sussex;M. Tobini;M. Ravalia;G. Sherman;G. Worrall;A. Atkinson;R. Hatheway;B. Johnson;S. Barnhill;Bata;J. Cosseet;D. Johnstone;M. MacFarlane;W. Sheridan;L. Crossman;D. Folkins;M. Shirley;T. Machel;J. Morash;M. Gupta;M. Mayich;T. Vakani;T. Baitz;E. Macphee;E. Turton;M. Turton;N. Chan;J. Misterski;D. Raco;G. Curnew;E. Fallen;L. Finkelstein;H. Gerstein;P. Hardman;S. Lawand;E. Lonn;W. Magi;M. McQueen;A. Panju;R. Patterson;B. Sullivan;H. Sullivan;M. Sullivan;K. G. Taylor;Worron;S. Yusuf;W. Cameron;C. Noseworthy;R. Houlden;T. Lavalle;R. Fowlis;Janzen;M. Arnold;M. Cann;S. Carroll;S. Dumaresq;M. Edmonds;P. Furlong;C. Geddes;E. Graham;K. Harris;Hramiak;R. Kennedy;W. Kostuk;M. Krupa;B. Lent;M. Lovell;C. Maclean;D. Massel;R. Mcmanus;J. Mcsherry;C. Muñoz;J. Occhipinti;L. Oosterveld;P. Pflugfelder;S. Powers;R. Southern;D. Spence;P. Squires;S. Wetmore;J. Willing;G. Wisenberg;B. Wolfe;P. Kannampuzha;T. Rebane;Sluzar;A. R. Hess;Y. Chan;D. Thomson;R. Baigrie;J. Dubbin;C. Liuni;K. Tan;E. Brankston;P. Hewson;B. Hrycyshyn;W. Kapusta;L. Knox;C. Lockner;P. Whitsitt;M. Baird;D. Conroy;R. Davies;R. Davies;M. Fraser;S. Hagar;P. Hierlihy;E. Keely;S. Khan;D. Lau;L. Marois;K. Németh;E. Reeves;M. Turek;R. Vexler;D. Young;G. Kumar;G. Kuruvilla;P. Kuruvilla;D. Lowe;K. Kwok;J. Blakely;S. Styling;B. Bożek;J. Charles;D. Fell;D. Fell;E. Goode;LD Grossman;E. Matthews;R. Nitkin;J. Ricci;A. Selby;Nina P. Singh;J. Swan;J. Emmett;M. Weingert;F. Ganjavi;D. Hill;S. Nawaz;R. Hessian;K. Kwiatkowski;C. Lai;C. Mulaisho;H. OKeefe;H. Smith;A. Weeks;J. Andrews;A. Barnie;M. Drobac;P. Hacker;A. Hanna;M. Iwanochko;A. Kenshole;A. Langer;P. Liu;S. Maclean;G. Moe;Z. Sasson;L. Sternberg;C. Trachuk;J. Walters;B. Zinman;M. Cheung;C. Cinà;L. Yao;K. Man;J. Fulop;A. Glanz;M. Sibbick;P. Carter;J. Hickey;E. McMillian;D. Dion;R. StHilaire;D. Coutu;G. DAmours;R. Starra;J. Brooks;P. Dechamps;G. Kiwan;S. Kouz;M. LaForest;C. Rémillard;D. Bellamy;R. Brossoit;S. Carrier;A. Houde;Labonte;A. Bélanger;N. Kandalaft;L. Quenneville;M. Sandi;P. Auger;N. Bilodeau;F. Delage;F. Dumont;R. Giroux;R. Loisel;C. Poirier;D. Saulnier;P. Carmichael;C. Lemay;J. Lenis;N. Aris;H. Bedard;C. Casavant;J. Chiasson;D. Dagenais;D. Fitchett;D. Gossard;H. Halle;N. Hamel;M. Joyal;O. Magnan;M. Méthé;L. Pedneault;C. Pilon;D. Poisson;L. Primeau;C. Rondeau;C. Roy;M. Ruel;A. Serpa;F. Sestier;M. Smilovitch;P. Theroux;J. Beaudoin;Boudreault;D. D'amours;T. Douville;G. Giguère;G. Houde;R. Labbe;S. Lachance;L. Lessard;G. Mercier;HP Noel;P. Talbot;J. Tremblay;A. Karabatsos;K. Maclellan;P. Wilson;P. Bogaty;D. LaForge;M. Langlais;M. Leblanc;M. Samson;J. Turcotte;J. Campeau;R. Dupuis;C. Lauzon;F. Ouimet;G. Pruneau;C. Desmaris;Frechetto;P. Gervais;J. Brophy;S. Leroux;S. Bester;L. Meunier;M. Sayeed;M. Hart;Moumne;G. Thomasse;J. Walker;M. Walker;S. Ahmed;N. Habib;P. Kuny;J. López;W. Klein;M. Grisold;L. Heyndrickx;A. Fiasse;J. Degaute;J. Mockel;D. Duprez;J. Chaudron;A. Bodson;G. Krzentowski;J. Boland;K. Kølendorf;B. Winther;H. Juhl;T. Hamalainen;O. Siitonen;H. Gin;Rigalleau;J. Hensen;R. Riel;R. OehmenBritsch;B. Schulze;R. Hopf;A. M. Møller;C. Rosak;H. Wetzel;C. Hasslacher;T. Martin;J. Stein;E. Erdmann;M. Böhm;D. Hartmann;M. Breidert;R. Fritzen;W. Scherbaum;J. Mann;J. Maus;C. Schroeder;H. Henrichs;H. Unger;G. Ickenstein;E. Kromer;G. Riegger;H. Schunkert;B. Basan;R. Hampel;P. Crean;T. Garadah;U. White;N. Marini;E. Paciaroni;G. Saccomano;S. Diluzio;B. Magnani;B. Mantovani;P. Pareschi;N. Stucchi;D. Nanni;F. Rusticali;C. Simoni;C. Brunelli;S. Caponnetto;E. Gatto;A. Mazzantini;O. Molinari;R. Morello;L. Degiorgio;C. Imparato;F. Barbaresi;A. Cotogni;M. Pasqualini;G. Frigeni;M. Landoni;A. Polese;A. Cernigoi;M. Merni;C. Tortul;M. Velussi;F. Aina;C. Cernigliaro;P. Dellavesa;U. Dejoannon;G. Pierfranceschi;D. Zavaroni;R. Emilia;E. Manicardi;E. Minelli;F. Penazzoli;Portioli;E. Rossi;P. Giani;R. Roccaforte;M. Casaccia;R. Larovere;E. Miglierina;S. Repetto;P. Centofante;M. Vincenzi;A. Nieuwenhuijzen;J. Sels;B. Wolffenbuttel;J. Kip;L. Mantingh;H. Mulder;L. Vandoorn;E. Hjerkinn;Å. Reikvam;M. Cardona;G. Sanz;A. Karoni;LL Bescos;Albert;R. Masiá;Á. Álvarez;L. Sáenz;L. Astrom;R. Press;P. Sjostedt;F. Tabrizi;Bergbom;P. Hansson;C. Held;T. Kahan;B. Ryden;O. Andersson;M. Wysocki;E. Karlsson;G. Sartor;L. Smith;P. Katzman;L. Ljungdahl;P. Norén;A. Hallberg;P.‐O. Olsson;S. Åsbrink;J. Mølgaard;Nilsson;F. Nystrom;P. Ohman;C. Andersson;L. Ekholm;K. Svensson;E. Torebo;B. Fagher;Svenstam;T. Thulin;U. Ericsson;K. Ahnberg;R. Henning;L. Jacobsson;A. Taghavi;P. Ahlstrom;U. Rosenqvist;C. Ericson;O. Gertow;BE Kristensson;L. Stahl;L. Bergsten;R. Harden;C. Jagren;B. Leijd;P. Lennerhagen;J. Ostergrens;Sandstrom;R. Sundelin;A. Hagg;C. Morlin;F. Pettersson;A. Wanders;H. Bjorkman;G. Karlsson;H. Larsson;Y. Lonndahl;P. Weber;R. Cozzi;P. Gerber;T. Moccetti;E. Safwan;F. Sessa;T. Binder;P. Boman;W. Kiowski;R. Lehman;B. Lull;G. Spinas;A. Jamieson;J. Kennedy;C. Kesson;R. Gryczka;P. Parker;S. Sidiki;M. Small;S. Struthers;J. Manns;H. Smithurst;A. Begg;B. Fisher;C. Bedford;S. Heller;S. Marlow;Ernesto German Cordona Munoz;HH Garcia;Rogerio M. Ruiz;E. Meaney;Miranda Flores;E. Brown;G. Perry;G. Patel;R. J. Sarma;Y. Szlachcic;J. Dorman;B. N. Singh;G. Bailey;L. Clegg;L. Horwitz;J. Leahy;A. Rashkow;M. Hudson;A. Miller;J. Umberger;R. Zoble;P. Orander;M. R. Sridharan;G. DeFrancisco;M. Davidson;N. Islam;J. Mathew;R. Rajanahally;D. French;W. Wickemeyer;M. Effron;M. Goldstein;K. Utley;G. Pierpont;J. Weigenant;M. Farkouh;Kubly;M. Rich;L. Wisneski;J. Abrams;D. Garcia;M. Bonora;R. Kohn;E. Muffoletto;D. Brink;E. Lader;A. Singler;P. Pande;J. Powers;B. Hoogwerf;J. Moore;F. Yanak;S. Gupta;D. Williams;K. Danisa;C. Kirk;B. Wescott;J. Grover;M. Mackenzie;M. Amidi;M. Bell;J. Farmer;C. Kingry;J. Young;Harms;J. Kennedy;R. Letterer;C. Heller;R. Mack
  • 通讯作者:
    R. Mack
Learner Autonomy in Developing Countries
发展中国家的学习者自主权
  • DOI:
    10.1057/978-1-137-52998-5_2
  • 发表时间:
    2018
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Richard Smith;Kuchah Kuchah;M. Lamb
  • 通讯作者:
    M. Lamb
The screening industry
筛选行业
  • DOI:
    10.1136/bmj.326.7395.0/f
  • 发表时间:
    2003
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Richard Smith
  • 通讯作者:
    Richard Smith
Studying the implications and impact of smartphones on self-directed learning under a Living Lab approach
在生活实验室方法下研究智能手机对自主学习的影响

Richard Smith的其他文献

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{{ truncateString('Richard Smith', 18)}}的其他基金

Planning: SCC-CIVIC-PG Track A: Recovering from Expected Flooding Under Residential Buildings (REFURB)
规划:SCC-CIVIC-PG 轨道 A:从住宅楼下预期的洪水中恢复 (REFURB)
  • 批准号:
    2228584
  • 财政年份:
    2022
  • 资助金额:
    $ 32.23万
  • 项目类别:
    Standard Grant
Hybrid microcavity light emitting devices by additive manufacturing
通过增材制造混合微腔发光器件
  • 批准号:
    EP/S028625/1
  • 财政年份:
    2020
  • 资助金额:
    $ 32.23万
  • 项目类别:
    Research Grant
Collaborative Research: Advancing extreme value analysis of high impact climate and weather events
合作研究:推进高影响气候和天气事件的极值分析
  • 批准号:
    1242957
  • 财政年份:
    2013
  • 资助金额:
    $ 32.23万
  • 项目类别:
    Standard Grant
Statistical and Applied Mathematical Sciences Institute
统计与应用数学科学研究所
  • 批准号:
    1127914
  • 财政年份:
    2012
  • 资助金额:
    $ 32.23万
  • 项目类别:
    Continuing Grant
Doctoral Dissertation Improvement: Landscape Genetics of Gibbons and Leaf Monkeys in China
博士论文改进:中国长臂猿和叶猴的景观遗传学
  • 批准号:
    1155904
  • 财政年份:
    2012
  • 资助金额:
    $ 32.23万
  • 项目类别:
    Standard Grant
Methodological development in whole-economy modelling: P. falciparum malaria control in Africa
整体经济建模的方法学发展:非洲恶性疟原虫疟疾控制
  • 批准号:
    G0902036/1
  • 财政年份:
    2010
  • 资助金额:
    $ 32.23万
  • 项目类别:
    Research Grant
An experimental investigation of social preferences, their determinants and their role in the labour supply function
对社会偏好、其决定因素及其在劳动力供给函数中的作用的实验研究
  • 批准号:
    ES/G009880/1
  • 财政年份:
    2008
  • 资助金额:
    $ 32.23万
  • 项目类别:
    Research Grant
Statistical and Applied Mathematical Sciences Institute
统计与应用数学科学研究所
  • 批准号:
    0635449
  • 财政年份:
    2007
  • 资助金额:
    $ 32.23万
  • 项目类别:
    Continuing Grant
Private Law and medieval village society: personal actions in manor courts, c.1250-1350
私法和中世纪乡村社会:庄园法庭中的个人行为,c.1250-1350
  • 批准号:
    AH/D502713/1
  • 财政年份:
    2006
  • 资助金额:
    $ 32.23万
  • 项目类别:
    Research Grant
GRADUATE RESEARCH FELLOWSHIP PROGRAM
研究生研究奖学金计划
  • 批准号:
    0646148
  • 财政年份:
    2006
  • 资助金额:
    $ 32.23万
  • 项目类别:
    Fellowship Award

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热/振耦合下MicroLED巨量转移装备自稳定柔性连接机制研究
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    2024
  • 资助金额:
    $ 32.23万
  • 项目类别:
    Grant-in-Aid for Scientific Research (B)
分散データリザレクション:柔軟性と効率性を兼ね備えた計測情報再構成技術の創出
分布式数据恢复:创建灵活高效的测量信息重构技术
  • 批准号:
    23K24866
  • 财政年份:
    2024
  • 资助金额:
    $ 32.23万
  • 项目类别:
    Grant-in-Aid for Scientific Research (B)
柔軟性と耐湿性を兼ね備えたヒーターレス式水素ガスセンサーの創成
创建兼具灵活性和防潮性的无加热器氢气传感器
  • 批准号:
    24K08080
  • 财政年份:
    2024
  • 资助金额:
    $ 32.23万
  • 项目类别:
    Grant-in-Aid for Scientific Research (C)
柔軟性を活用して薄鋼板を非接触に持ち上げる磁気浮上搬送システム
利用柔性非接触方式提升薄钢板的磁悬浮运输系统
  • 批准号:
    24K17249
  • 财政年份:
    2024
  • 资助金额:
    $ 32.23万
  • 项目类别:
    Grant-in-Aid for Early-Career Scientists
巨大深層学習モデルの柔軟性を裏付ける理論の構築と手法の改良
建立理论并改进方法以支持巨型深度学习模型的灵活性
  • 批准号:
    24KJ0831
  • 财政年份:
    2024
  • 资助金额:
    $ 32.23万
  • 项目类别:
    Grant-in-Aid for JSPS Fellows
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